tahoma2d/toonz/sources/toonzlib/tdistort.cpp
2020-04-13 22:21:56 +03:00

1153 lines
40 KiB
C++

#include <memory>
#include <array>
#include "toonz/tdistort.h"
#include "traster.h"
#include "trastercm.h"
#include "tgeometry.h"
#include "tpixelutils.h"
#include <QList>
//****************************************************************************************
// Local namespace stuff
//****************************************************************************************
namespace {
inline double dist(const TPointD &a, const TPointD &b) { return norm(b - a); }
}
//========================================================================================
namespace {
typedef struct {
TUINT32 val;
double tot;
} BLOB24;
//---------------------------------------------------------------------------------
TPixelCM32 filterPixel(const TPointD &pos, const TRasterCM32P &rasIn) {
TPointD distance = TPointD(
areAlmostEqual(pos.x, tfloor(pos.x), 0.001) ? 0.0
: fabs(pos.x - tfloor(pos.x)),
areAlmostEqual(pos.y, tfloor(pos.y), 0.001) ? 0.0 : fabs(pos.y -
tfloor(pos.y)));
TPoint nearPos(tfloor(pos.x), tfloor(pos.y));
if (distance == TPointD(0.0, 0.0)) {
if (nearPos.x >= 0 && nearPos.x < rasIn->getLx() && nearPos.y >= 0 &&
nearPos.y < rasIn->getLy())
return rasIn->pixels(nearPos.y)[nearPos.x];
else
return TPixelCM32();
}
int i, j, k = 0;
TPixelCM32 P[4];
for (j = 0; j < 2; ++j)
for (i = 0; i < 2; ++i)
P[i + 2 * j] = nearPos.x + i < rasIn->getLx() && nearPos.x + i >= 0 &&
nearPos.y + j < rasIn->getLy() &&
nearPos.y + j >= 0
? rasIn->pixels(nearPos.y + j)[nearPos.x + i]
: TPixelCM32();
if (P[0] == P[1] && P[1] == P[2] && P[2] == P[3]) return P[0];
double w[4], sum = 0;
for (j = 1; j >= 0; --j)
for (i = 1; i >= 0; --i)
sum += w[k++] = fabs(distance.x - i) * fabs(distance.y - j);
for (i = 0; i < 4; i++) w[i] /= sum;
TPixelCM32 outPix;
TUINT32 tone;
double tone_tot = 0.0;
BLOB24 currBlob, paintBlobs[4], inkBlobs[4];
int paintBlobsSize = 0, inkBlobsSize = 0;
// Doing the same thing in TRop::resample
for (i = 0; i < 4; ++i) {
// Build paint blobs and sort them
tone = P[i].getTone();
tone_tot += tone * w[i];
currBlob.val = P[i].getPaint();
currBlob.tot = tone * w[i];
for (j = 0; j < paintBlobsSize; j++)
if (paintBlobs[j].val == currBlob.val) break;
if (j < paintBlobsSize)
paintBlobs[j].tot += currBlob.tot;
else
paintBlobs[paintBlobsSize++] = currBlob;
for (; j > 0 && paintBlobs[j].tot > paintBlobs[j - 1].tot; j--)
std::swap(paintBlobs[j], paintBlobs[j - 1]);
// Same for ink blobs
currBlob.val = P[i].getInk();
currBlob.tot = (TPixelCM32::getToneMask() - tone) * w[i];
for (j = 0; j < inkBlobsSize; j++)
if (inkBlobs[j].val == currBlob.val) break;
if (j < inkBlobsSize)
inkBlobs[j].tot += currBlob.tot;
else
inkBlobs[inkBlobsSize++] = currBlob;
for (; j > 0 && inkBlobs[j].tot > inkBlobs[j - 1].tot; j--)
std::swap(inkBlobs[j], inkBlobs[j - 1]);
}
tone = troundp(tone_tot);
outPix.setPaint(paintBlobs[0].val);
outPix.setInk(inkBlobs[0].val);
outPix.setTone(tone);
return outPix;
}
//---------------------------------------------------------------------------------
void resample(const TRasterCM32P &rasIn, TRasterCM32P &rasOut,
const TDistorter &distorter, const TPoint &p) {
if (rasOut->getLx() < 1 || rasOut->getLy() < 1 || rasIn->getLx() < 1 ||
rasIn->getLy() < 1)
return;
std::unique_ptr<TPointD[]> preImages(new TPointD[distorter.maxInvCount()]);
int x, y;
int i;
for (y = 0; y < rasOut->getLy(); y++) {
TPixelCM32 *pix = rasOut->pixels(y);
TPixelCM32 *endPix = pix + rasOut->getLx();
for (x = 0; pix != endPix; pix++, x++) {
TPixelCM32 pixDown;
int count = distorter.invMap(convert(p) + TPointD(x + 0.5, y + 0.5),
preImages.get());
for (i = count - 1; i >= 0; --i) {
TPixelCM32 pixUp;
TPointD preImage(preImages[i].x - 0.5, preImages[i].y - 0.5);
if (preImage.x > -1 && preImage.y > -1 &&
preImage.x < rasIn->getLx() + 1 && preImage.y < rasIn->getLy() + 1)
pixUp = filterPixel(preImage, rasIn);
pixDown.setPaint(pixUp.getPaint() ? pixUp.getPaint()
: pixDown.getPaint());
pixDown.setInk(pixUp.getInk() ? pixUp.getInk() : pixDown.getInk());
pixDown.setTone(pixUp == TPixelCM32() ? pixDown.getTone()
: pixUp.getTone());
}
*pix = pixDown;
}
}
}
//---------------------------------------------------------------------------------
template <typename PIXEL, typename CHANNEL_TYPE>
PIXEL closest_pixel(const TPointD &pos, const TRasterPT<PIXEL> &rasIn) {
TPoint nearPos(tround(pos.x), tround(pos.y));
if (!rasIn->getBounds().contains(nearPos)) return PIXEL(0, 0, 0, 0);
return rasIn->pixels(nearPos.y)[nearPos.x];
}
//---------------------------------------------------------------------------------
template <typename T, typename CHANNEL_TYPE>
void resampleClosestPixel(const TRasterPT<T> &rasIn, TRasterPT<T> &rasOut,
const TDistorter &distorter, const TPoint &p) {
if (rasOut->getLx() < 1 || rasOut->getLy() < 1 || rasIn->getLx() < 1 ||
rasIn->getLy() < 1)
return;
std::unique_ptr<TPointD[]> preImages(new TPointD[distorter.maxInvCount()]);
int x, y;
int i;
for (y = 0; y < rasOut->getLy(); y++) {
T *pix = rasOut->pixels(y);
T *endPix = pix + rasOut->getLx();
x = 0;
for (; pix != endPix; pix++, x++) {
T pixDown(0, 0, 0, 0);
// preImages.clear();
int count = distorter.invMap(convert(p) + TPointD(x + 0.5, y + 0.5),
preImages.get());
for (i = count - 1; i >= 0; --i) {
T pixUp(0, 0, 0, 0);
TPointD preImage(preImages[i].x - 0.5, preImages[i].y - 0.5);
if (preImage.x > -1 && preImage.y > -1 &&
preImage.x < rasIn->getLx() + 1 && preImage.y < rasIn->getLy() + 1)
pixUp = closest_pixel<T, CHANNEL_TYPE>(preImage, rasIn);
pixDown = pixUp;
}
*pix = pixDown;
}
}
}
//---------------------------------------------------------------------------------
TPixelCM32 closest_pixel(const TPointD &pos, const TRasterCM32P &rasIn) {
TPoint nearPos(tround(pos.x), tround(pos.y));
if (!rasIn->getBounds().contains(nearPos)) return TPixelCM32(0, 0, 255);
return rasIn->pixels(nearPos.y)[nearPos.x];
}
//---------------------------------------------------------------------------------
void resampleClosestPixel(const TRasterCM32P &rasIn, TRasterCM32P &rasOut,
const TDistorter &distorter, const TPoint &p) {
if (rasOut->getLx() < 1 || rasOut->getLy() < 1 || rasIn->getLx() < 1 ||
rasIn->getLy() < 1)
return;
std::unique_ptr<TPointD[]> preImages(new TPointD[distorter.maxInvCount()]);
int x, y;
int i;
for (y = 0; y < rasOut->getLy(); y++) {
TPixelCM32 *pix = rasOut->pixels(y);
TPixelCM32 *endPix = pix + rasOut->getLx();
x = 0;
for (; pix != endPix; pix++, x++) {
TPixelCM32 pixDown(0, 0, 255);
int count = distorter.invMap(convert(p) + TPointD(x + 0.5, y + 0.5),
preImages.get());
for (i = count - 1; i >= 0; --i) {
TPixelCM32 pixUp(0, 0, 255);
TPointD preImage(preImages[i].x - 0.5, preImages[i].y - 0.5);
if (preImage.x > -1 && preImage.y > -1 &&
preImage.x < rasIn->getLx() + 1 && preImage.y < rasIn->getLy() + 1)
pixUp = closest_pixel(preImage, rasIn);
pixDown = pixUp;
}
*pix = pixDown;
}
}
}
//=================================================================================
template <typename PIXEL, typename CHANNEL_TYPE>
PIXEL filterPixel(double a, double b, PIXEL *lineSrc, int lineLength,
int lineWrap) {
// Retrieve the interesting pixel interval
double x0 = std::max(a, 0.0);
double x1 = std::min(b, (double)lineLength);
int x0Floor = tfloor(x0);
int x0Ceil = tceil(x0);
int x1Floor = tfloor(x1);
if (x0 >= x1) return PIXEL::Transparent;
PIXEL *pix = lineSrc + x0Floor * lineWrap;
// Build the sums
double k, sumr = 0, sumg = 0, sumb = 0, summ = 0;
// Fractionary part on the beginning
if (x0Ceil > x0) {
k = x0Ceil - x0;
sumr += k * pix->r;
sumg += k * pix->g;
sumb += k * pix->b;
summ += k * pix->m;
pix += lineWrap;
}
// Intermediate pixels (ie when pixels contract)
int x;
for (x = x0Ceil; x < x1Floor; ++x, pix += lineWrap) {
sumr += pix->r;
sumg += pix->g;
sumb += pix->b;
summ += pix->m;
}
// Fractionary part on the end
if (x1 < lineLength) {
k = x1 - x;
sumr += k * pix->r;
sumg += k * pix->g;
sumb += k * pix->b;
summ += k * pix->m;
}
// Finally, divide per the total weight
double length =
b - a; // 'transparent' pixels outside image range *are* considered
sumr = sumr / length;
sumg = sumg / length;
sumb = sumb / length;
summ = summ / length;
return PIXEL(sumr, sumg, sumb, summ);
}
//---------------------------------------------------------------------------------
template <typename PIXEL, typename CHANNEL_TYPE>
PIXEL filterPixel(double a, double b, double c, double d,
const TRasterPT<PIXEL> &rasIn, PIXEL *temp) {
if (bool(a < b) == false && bool(b <= a) == false)
return PIXEL::Transparent; // NaNs
else
std::swap(a, b);
if (bool(c < d) == false && bool(d <= c) == false)
return PIXEL::Transparent;
else
std::swap(c, d);
// Deal the magnification case, assuming that intervals have at least length
// 1. This actually stands for:
// 1. Their midpoint is bilinear filtered whenever their former length was
// less than 1 (see fractionary parts computing above).
// 2. This behaviour is continuous with respect to interval lengths - that
// is, we pass from supersampling to subsampling in a smooth manner.
if (b - a < 1) {
double v = 0.5 * (a + b);
a = v - 0.5;
b = v + 0.5;
}
if (d - c < 1) {
double v = 0.5 * (c + d);
c = v - 0.5;
d = v + 0.5;
}
// Now, filter each column in [a, b]
double x0 = std::max(a, 0.0);
double x1 = std::min(b, (double)rasIn->getLx());
if (x0 >= x1) return PIXEL::Transparent;
int xEnd = tceil(x1);
for (int x = tfloor(x0); x < xEnd; ++x)
temp[x] = filterPixel<PIXEL, CHANNEL_TYPE>(
c, d, rasIn->pixels(0) + x, rasIn->getLy(), rasIn->getWrap());
// Then, filter temp
return filterPixel<PIXEL, CHANNEL_TYPE>(a, b, temp, rasIn->getLx(), 1);
}
//---------------------------------------------------------------------------------
template <typename T, typename CHANNEL_TYPE>
void resample(const TRasterPT<T> &rasIn, TRasterPT<T> &rasOut,
const TDistorter &distorter, const TPoint &p) {
if (rasOut->getLx() < 1 || rasOut->getLy() < 1 || rasIn->getLx() < 1 ||
rasIn->getLy() < 1)
return;
int invsCount = distorter.maxInvCount();
// Allocate buffers
std::array<std::unique_ptr<TPointD[]>, 2> invs = {
std::unique_ptr<TPointD[]>(
new TPointD[invsCount * (rasOut->getLx() + 1)]),
std::unique_ptr<TPointD[]>(
new TPointD[invsCount * (rasOut->getLx() + 1)]),
};
std::array<std::unique_ptr<int[]>, 2> counts = {
std::unique_ptr<int[]>(new int[rasOut->getLx() + 1]),
std::unique_ptr<int[]>(new int[rasOut->getLx() + 1]),
};
std::unique_ptr<T[]> temp(new T[rasIn->getLx()]);
TPointD shift(convert(p) + TPointD(0.5, 0.5));
// Fill in the first inverses (lower edge of output image)
{
TPointD *currOldInv = invs[0].get();
int *oldCounts = counts[0].get();
for (int x = 0; x <= rasOut->getLx(); currOldInv += invsCount, ++x)
oldCounts[x] = distorter.invMap(shift + TPointD(x, 0.0), currOldInv);
}
// For each output row
for (int y = 0; y < rasOut->getLy(); ++y) {
// Alternate inverse buffers
TPointD *oldInvs = invs[y % 2].get();
TPointD *newInvs = invs[(y + 1) % 2].get();
int *oldCounts = counts[y % 2].get();
int *newCounts = counts[(y + 1) % 2].get();
// Build the new inverses
{
TPointD *currNewInv = newInvs;
for (int x = 0; x <= rasOut->getLx(); currNewInv += invsCount, ++x)
newCounts[x] =
distorter.invMap(shift + TPointD(x, y + 1.0), currNewInv);
}
// Filter each pixel in the row
T *pix = rasOut->pixels(y);
TPointD *currOldInv = oldInvs;
TPointD *currNewInv = newInvs;
for (int x = 0; x < rasOut->getLx();
currOldInv += invsCount, currNewInv += invsCount, ++x, ++pix) {
T pixDown(0, 0, 0, 0);
int count = std::min({oldCounts[x], oldCounts[x + 1], newCounts[x]});
for (int i = 0; i < count; ++i) {
T pixUp(0, 0, 0, 0);
pixUp = filterPixel<T, CHANNEL_TYPE>(
currOldInv[i].x - 0.5, (currOldInv + invsCount)[i].x - 0.5,
currOldInv[i].y - 0.5, currNewInv[i].y - 0.5, rasIn, temp.get());
pixDown = overPix(pixDown, pixUp);
}
*pix = pixDown;
}
}
}
} // namespace
//==============================================================================================
void distort(TRasterP &outRas, const TRasterP &inRas,
const TDistorter &distorter, const TPoint &dstPos,
const TRop::ResampleFilterType &filter) {
TRaster32P inRas32 = inRas;
TRaster64P inRas64 = inRas;
TRasterCM32P inRasCM32 = inRas;
TRaster32P outRas32 = outRas;
TRaster64P outRas64 = outRas;
TRasterCM32P outRasCM32 = outRas;
if (filter == TRop::Bilinear) {
if (inRas32)
::resample<TPixel32, UCHAR>(inRas32, outRas32, distorter, dstPos);
else if (inRas64)
::resample<TPixel64, USHORT>(inRas64, outRas64, distorter, dstPos);
else if (inRasCM32 && outRasCM32)
::resample(inRasCM32, outRasCM32, distorter, dstPos);
else
assert(0);
} else if (filter == TRop::ClosestPixel) {
if (inRas32)
::resampleClosestPixel<TPixel32, UCHAR>(inRas32, outRas32, distorter,
dstPos);
else if (inRas64)
::resampleClosestPixel<TPixel64, USHORT>(inRas64, outRas64, distorter,
dstPos);
else if (inRasCM32 && outRasCM32)
::resampleClosestPixel(inRasCM32, outRasCM32, distorter, dstPos);
else
assert(0);
} else
assert(0);
}
//================================================================================================
//
// BilinearDistorterBase
//
//================================================================================================
BilinearDistorterBase::BilinearDistorterBase(
const TPointD &p00s, const TPointD &p10s, const TPointD &p01s,
const TPointD &p11s, const TPointD &p00d, const TPointD &p10d,
const TPointD &p01d, const TPointD &p11d)
: TQuadDistorter(p00s, p10s, p01s, p11s, p00d, p10d, p01d, p11d)
{
m_A = p00d;
m_B = p10d - p00d;
m_C = p01d - p00d;
m_D = p11d - p01d - p10d + p00d;
m_a = m_D.x * m_C.y - m_C.x * m_D.y;
m_b0 = m_B.x * m_C.y - m_C.x * m_B.y;
}
//--------------------------------------------------------------------------------
inline TPointD BilinearDistorterBase::map(const TPointD &p) const {
double t = (p.x - m_p00s.x) / (m_p10s.x - m_p00s.x);
double s = (p.y - m_p00s.y) / (m_p01s.y - m_p00s.y);
return (1 - s) * (1 - t) * m_p00d + (1 - s) * t * m_p10d +
s * (1 - t) * m_p01d + s * t * m_p11d;
}
//--------------------------------------------------------------------------------
int BilinearDistorterBase::invMap(const TPointD &p, TPointD *results) const {
// See the book "Digital Image Warping" by G. Wolberg
double b = m_D.x * (m_A.y - p.y) + m_D.y * (p.x - m_A.x) + m_b0;
double c = m_B.x * (m_A.y - p.y) + m_B.y * (p.x - m_A.x);
if (fabs(m_a) > 0.001) {
// If delta <0, the points cannot be inverse-mapped
double delta = sq(b) - 4.0 * m_a * c;
if (delta < 0) return 0;
double sqrtDelta = sqrt(delta);
double k = 0.5 / m_a;
double v1 = k * (-b + sqrtDelta);
double v2 = k * (-b - sqrtDelta);
double u1, u2;
double den = m_B.x + m_D.x * v1;
if (fabs(den) > 0.01)
u1 = (p.x - m_A.x - m_C.x * v1) / den;
else
u1 = (p.y - m_A.y - m_C.y * v1) / (m_B.y + m_D.y * v1);
den = m_B.x + m_D.x * v2;
if (fabs(den) > 0.01)
u2 = (p.x - m_A.x - m_C.x * v2) / den;
else
u2 = (p.y - m_A.y - m_C.y * v2) / (m_B.y + m_D.y * v2);
TPointD difP10_P00 = m_p10s - m_p00s;
TPointD difP01_P00 = m_p01s - m_p00s;
results[0] = m_p00s + u1 * difP10_P00 + v1 * difP01_P00;
results[1] = m_p00s + u2 * difP10_P00 + v2 * difP01_P00;
return 2;
} else {
// The equation reduces to first order.
double v = -c / b;
double u = (p.x - m_A.x - m_C.x * v) / (m_B.x + m_D.x * v);
results[0] = m_p00s + u * (m_p10s - m_p00s) + v * (m_p01s - m_p00s);
return 1;
}
}
//================================================================================================
//
// BilinearDistorter
//
//================================================================================================
BilinearDistorter::BilinearDistorter(const TPointD &p00s, const TPointD &p10s,
const TPointD &p01s, const TPointD &p11s,
const TPointD &p00d, const TPointD &p10d,
const TPointD &p01d, const TPointD &p11d)
: TQuadDistorter(p00s, p10s, p01s, p11s, p00d, p10d, p01d, p11d) {
m_refToSource.m_p00 = p00s;
m_refToSource.m_p10 = p10s;
m_refToSource.m_p01 = p01s;
m_refToSource.m_p11 = p11s;
m_refToDest.m_p00 = p00d;
m_refToDest.m_p10 = p10d;
m_refToDest.m_p01 = p01d;
m_refToDest.m_p11 = p11d;
m_refToSource.m_A = p00s;
m_refToSource.m_B = p10s - p00s;
m_refToSource.m_C = p01s - p00s;
m_refToSource.m_D = p11s - p01s - p10s + p00s;
m_refToDest.m_A = p00d;
m_refToDest.m_B = p10d - p00d;
m_refToDest.m_C = p01d - p00d;
m_refToDest.m_D = p11d - p01d - p10d + p00d;
m_refToSource.m_a = m_refToSource.m_D.x * m_refToSource.m_C.y -
m_refToSource.m_C.x * m_refToSource.m_D.y;
m_refToSource.m_b0 = m_refToSource.m_B.x * m_refToSource.m_C.y -
m_refToSource.m_C.x * m_refToSource.m_B.y;
m_refToDest.m_a = m_refToDest.m_D.x * m_refToDest.m_C.y -
m_refToDest.m_C.x * m_refToDest.m_D.y;
m_refToDest.m_b0 = m_refToDest.m_B.x * m_refToDest.m_C.y -
m_refToDest.m_C.x * m_refToDest.m_B.y;
}
//---------------------------------------------------------------------------------
BilinearDistorter::~BilinearDistorter() {}
//--------------------------------------------------------------------------------
TPointD BilinearDistorter::map(const TPointD &p) const {
TPointD sourceToRefPoints[2];
int returnCount = m_refToSource.invMap(p, sourceToRefPoints);
if (returnCount > 0) return m_refToDest.map(sourceToRefPoints[0]);
return TConsts::napd;
}
//--------------------------------------------------------------------------------
inline int BilinearDistorter::invMap(const TPointD &p, TPointD *results) const {
int returnCount = m_refToDest.invMap(p, results);
for (int i = 0; i < returnCount; ++i)
results[i] = m_refToSource.map(results[i]);
return returnCount;
}
//--------------------------------------------------------------------------------
inline TPointD BilinearDistorter::Base::map(const TPointD &p) const {
return (1 - p.y) * (1 - p.x) * m_p00 + (1 - p.y) * p.x * m_p10 +
p.y * (1 - p.x) * m_p01 + p.y * p.x * m_p11;
}
//--------------------------------------------------------------------------------
int BilinearDistorter::Base::invMap(const TPointD &p, TPointD *results) const {
// See the book "Digital Image Warping" by G. Wolberg
double b = m_D.x * (m_A.y - p.y) + m_D.y * (p.x - m_A.x) + m_b0;
double c = m_B.x * (m_A.y - p.y) + m_B.y * (p.x - m_A.x);
if (fabs(m_a) > 0.001) {
// If delta <0, the points cannot be inverse-mapped
double delta = sq(b) - 4.0 * m_a * c;
if (delta < 0) return 0;
double sqrtDelta = sqrt(delta);
double k = 0.5 / m_a;
double v1 = k * (-b + sqrtDelta);
double v2 = k * (-b - sqrtDelta);
double u1, u2;
double den = m_B.x + m_D.x * v1;
if (fabs(den) > 0.01)
u1 = (p.x - m_A.x - m_C.x * v1) / den;
else
u1 = (p.y - m_A.y - m_C.y * v1) / (m_B.y + m_D.y * v1);
den = m_B.x + m_D.x * v2;
if (fabs(den) > 0.01)
u2 = (p.x - m_A.x - m_C.x * v2) / den;
else
u2 = (p.y - m_A.y - m_C.y * v2) / (m_B.y + m_D.y * v2);
results[0] = TPointD(u1, v1);
results[1] = TPointD(u2, v2);
return 2;
} else {
// The equation reduces to first order.
double v = -c / b;
double u = (p.x - m_A.x - m_C.x * v) / (m_B.x + m_D.x * v);
results[0] = TPointD(u, v);
return 1;
}
}
//=================================================================================
//
// TPerspect
//
//=================================================================================
PerspectiveDistorter::TPerspect::TPerspect()
: a11(1.0)
, a12(0.0)
, a13(0.0)
, a21(0.0)
, a22(1.0)
, a23(0.0)
, a31(0.0)
, a32(0.0)
, a33(1.0) {}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect::TPerspect(double p11, double p12, double p13,
double p21, double p22, double p23,
double p31, double p32, double p33)
: a11(p11)
, a12(p12)
, a13(p13)
, a21(p21)
, a22(p22)
, a23(p23)
, a31(p31)
, a32(p32)
, a33(p33) {}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect::TPerspect(const TPerspect &p)
: a11(p.a11)
, a12(p.a12)
, a13(p.a13)
, a21(p.a21)
, a22(p.a22)
, a23(p.a23)
, a31(p.a31)
, a32(p.a32)
, a33(p.a33) {}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect::~TPerspect() {}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect &PerspectiveDistorter::TPerspect::operator=(
const PerspectiveDistorter::TPerspect &p) {
a11 = p.a11;
a12 = p.a12;
a13 = p.a13;
a21 = p.a21;
a22 = p.a22;
a23 = p.a23;
a31 = p.a31;
a32 = p.a32;
a33 = p.a33;
return *this;
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect PerspectiveDistorter::TPerspect::operator*(
const PerspectiveDistorter::TPerspect &p) const {
return PerspectiveDistorter::TPerspect(
a11 * p.a11 + a12 * p.a21 + a13 * p.a31,
a11 * p.a12 + a12 * p.a22 + a13 * p.a32,
a11 * p.a13 + a12 * p.a23 + a13 * p.a33,
a21 * p.a11 + a22 * p.a21 + a23 * p.a31,
a21 * p.a12 + a22 * p.a22 + a23 * p.a32,
a21 * p.a13 + a22 * p.a23 + a23 * p.a33,
a31 * p.a11 + a32 * p.a21 + a33 * p.a31,
a31 * p.a12 + a32 * p.a22 + a33 * p.a32,
a31 * p.a13 + a32 * p.a23 + a33 * p.a33);
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect PerspectiveDistorter::TPerspect::operator*(
const TAffine &aff) const {
return operator*(TPerspect(aff.a11, aff.a12, aff.a13, aff.a21, aff.a22,
aff.a23, 0.0, 0.0, 1.0));
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect operator*(
const TAffine &aff, const PerspectiveDistorter::TPerspect &p) {
return PerspectiveDistorter::TPerspect(aff.a11, aff.a12, aff.a13, aff.a21,
aff.a22, aff.a23, 0.0, 0.0, 1.0) *
p;
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect PerspectiveDistorter::TPerspect::operator*=(
const PerspectiveDistorter::TPerspect &p) {
return *this * p;
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect PerspectiveDistorter::TPerspect::inv() const {
return TPerspect(
a22 * a33 - a23 * a32, a13 * a32 - a12 * a33, a12 * a23 - a13 * a22,
a23 * a31 - a21 * a33, a11 * a33 - a13 * a31, a13 * a21 - a11 * a23,
a21 * a32 - a22 * a31, a12 * a31 - a11 * a32, a11 * a22 - a12 * a21);
}
//---------------------------------------------------------------------------------
double PerspectiveDistorter::TPerspect::det() const {
return a11 * a22 * a33 + a12 * a23 * a31 + a13 * a21 * a32 - a13 * a22 * a31 -
a11 * a23 * a32 - a12 * a21 * a33;
}
//---------------------------------------------------------------------------------
bool PerspectiveDistorter::TPerspect::operator==(
const PerspectiveDistorter::TPerspect &p) const {
return a11 == p.a11 && a12 == p.a12 && a13 == p.a13 && a21 == p.a21 &&
a22 == p.a22 && a23 == p.a23 && a31 == p.a31 && a32 == p.a32 &&
a33 == p.a33;
}
//---------------------------------------------------------------------------------
bool PerspectiveDistorter::TPerspect::operator!=(
const PerspectiveDistorter::TPerspect &p) const {
return !(*this == p);
}
//---------------------------------------------------------------------------------
bool PerspectiveDistorter::TPerspect::isIdentity(double err) const {
return ((a11 - 1.0) * (a11 - 1.0) + (a22 - 1.0) * (a22 - 1.0) +
(a33 - 1.0) * (a33 - 1.0) + a12 * a12 + a13 * a13 + a21 * a21 +
a23 * a23 + a31 * a31 + a32 * a32) < err;
}
//---------------------------------------------------------------------------------
TPointD PerspectiveDistorter::TPerspect::operator*(const TPointD &p) const {
double den = (a31 * p.x + a32 * p.y + a33);
double x = (a11 * p.x + a12 * p.y + a13) / den;
double y = (a21 * p.x + a22 * p.y + a23) / den;
return TPointD(x, y);
}
//---------------------------------------------------------------------------------
T3DPointD PerspectiveDistorter::TPerspect::operator*(const T3DPointD &p) const {
return T3DPointD(a11 * p.x + a12 * p.y + a13 * p.z,
a21 * p.x + a22 * p.y + a23 * p.z,
a31 * p.x + a32 * p.y + a33 * p.z);
}
//---------------------------------------------------------------------------------
TRectD PerspectiveDistorter::TPerspect::operator*(const TRectD &rect) const {
if (rect != TConsts::infiniteRectD) {
TPointD p1 = *this * rect.getP00(), p2 = *this * rect.getP01(),
p3 = *this * rect.getP10(), p4 = *this * rect.getP11();
return TRectD(
std::min({p1.x, p2.x, p3.x, p4.x}), std::min({p1.y, p2.y, p3.y, p4.y}),
std::max({p1.x, p2.x, p3.x, p4.x}), std::max({p1.y, p2.y, p3.y, p4.y}));
} else
return TConsts::infiniteRectD;
}
//================================================================================================
//
// PerspectiveDistorter
//
//================================================================================================
PerspectiveDistorter::PerspectiveDistorter(
const TPointD &p00s, const TPointD &p10s, const TPointD &p01s,
const TPointD &p11s, const TPointD &p00d, const TPointD &p10d,
const TPointD &p01d, const TPointD &p11d)
: TQuadDistorter(p00s, p10s, p01s, p11s, p00d, p10d, p01d, p11d) {
computeMatrix();
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::~PerspectiveDistorter() {}
//---------------------------------------------------------------------------------
void PerspectiveDistorter::computeMatrix() {
// Since source and destination points are intended in hundreds of pixels in
// their refs,
// and inverting makes squares with respect to their elements' size, we'd
// better put the
// quadrilaterals in more numerically stable references before inversions.
double srcSize = std::max({dist(m_p00s, m_p10s), dist(m_p00s, m_p01s),
dist(m_p10s, m_p11s), dist(m_p01s, m_p11s)});
double dstSize = std::max({dist(m_p00d, m_p10d), dist(m_p00d, m_p01d),
dist(m_p10d, m_p11d), dist(m_p01d, m_p11d)});
TAffine toSrcNormalizedRef(TScale(1.0 / srcSize) * TTranslation(-m_p00s));
TAffine toSrcRef(TTranslation(m_p00s) * TScale(srcSize));
TAffine toDstNormalizedRef(TScale(1.0 / dstSize) * TTranslation(-m_p00d));
TAffine toDstRef(TTranslation(m_p00d) * TScale(dstSize));
TPointD p00s;
TPointD p10s(toSrcNormalizedRef * m_p10s);
TPointD p01s(toSrcNormalizedRef * m_p01s);
TPointD p11s(toSrcNormalizedRef * m_p11s);
TPointD p00d;
TPointD p10d(toDstNormalizedRef * m_p10d);
TPointD p01d(toDstNormalizedRef * m_p01d);
TPointD p11d(toDstNormalizedRef * m_p11d);
// compute a matrix from (0,0), (1,0), (1,1), (0,1) to m_startPoints.
TPerspect m1 = computeSquareToMatrix(p00s, p10s, p01s, p11s);
// compute a matrix from (0,0), (1,0), (1,1), (0,1) to m_endPoints.
TPerspect m2 = computeSquareToMatrix(p00d, p10d, p01d, p11d);
m_matrix = m2 * m1.inv();
m_matrixInv = toSrcRef * m_matrix.inv() * toDstNormalizedRef;
m_matrix = toDstRef * m_matrix * toSrcNormalizedRef;
}
//---------------------------------------------------------------------------------
double PerspectiveDistorter::determinant(double a11, double a12, double a21,
double a22) {
return a11 * a22 - a12 * a21;
}
//---------------------------------------------------------------------------------
PerspectiveDistorter::TPerspect PerspectiveDistorter::computeSquareToMatrix(
const TPointD &p00, const TPointD &p10, const TPointD &p01,
const TPointD &p11) {
TPointD d1 = p10 - p11;
TPointD d2 = p01 - p11;
TPointD d3 = p00 - p10 + p11 - p01;
TPerspect matrix;
matrix.a31 =
determinant(d3.x, d2.x, d3.y, d2.y) / determinant(d1.x, d2.x, d1.y, d2.y);
matrix.a32 =
determinant(d1.x, d3.x, d1.y, d3.y) / determinant(d1.x, d2.x, d1.y, d2.y);
matrix.a11 = p10.x - p00.x + matrix.a31 * p10.x;
matrix.a12 = p01.x - p00.x + matrix.a32 * p01.x;
matrix.a13 = p00.x;
matrix.a21 = p10.y - p00.y + matrix.a31 * p10.y;
matrix.a22 = p01.y - p00.y + matrix.a32 * p01.y;
matrix.a23 = p00.y;
matrix.a33 = 1;
return matrix;
}
//---------------------------------------------------------------------------------
TPointD PerspectiveDistorter::map(const TPointD &p) const {
return m_matrix * p;
}
//---------------------------------------------------------------------------------
int PerspectiveDistorter::invMap(const TPointD &p, TPointD *results) const {
results[0] = m_matrixInv * p;
return 1;
}
//**********************************************************************************************
// Rect inversion methods
//**********************************************************************************************
//=============================
// PerspectiveDistorter
//=============================
// IDEA: Lines are mapped into lines through this distortion and through the
// inverse; plus,
// the distortion is 1-1. There is one major issue: across the horizon line of
// the perspective
// projection (ie the pre-image of {z=0}, which could eventually degenerate to
// the whole plane)
// the jacobian sign is inverted. Observe, further, that the mapping is
// infinitely differentiable
// apart from neighbourhoods of the horizon line.
// It can be shown that bounding estimates based on corner samples on one side
// of the horizon line
// may prove false on the other. Therefore, we shall separate such estimates in
// the two cases,
// and then sum them together.
//---------------------------------------------------------------------------------
//! Returns the jacobian (on source ref) associated to the pre-image of passed
//! destination point.
void PerspectiveDistorter::getJacobian(const TPointD &destPoint,
TPointD &srcPoint, TPointD &xDer,
TPointD &yDer) const {
srcPoint = m_matrixInv * destPoint;
T3DPointD im(m_matrix * T3DPointD(srcPoint.x, srcPoint.y, 1.0));
double imZInv = 1.0 / im.z, minusImZInvSq = -sq(imZInv);
TPerspect projectionJac(imZInv, 0.0, minusImZInvSq * im.x, 0.0, imZInv,
minusImZInvSq * im.y, 0.0, 0.0, 0.0);
TPerspect result(projectionJac * m_matrix);
xDer.x = result.a11;
xDer.y = result.a21;
yDer.x = result.a12;
yDer.y = result.a22;
}
//---------------------------------------------------------------------------------
inline void updateResult(const TPointD &srcCorner, const TPointD &xDer,
const TPointD &yDer, int rectSideX, int rectSideY,
bool &hasPositiveResults, bool &hasNegativeResults,
TRectD &posResult, TRectD &negResult) {
const int securityAddendum = 5; // Adding a 5 border to the result just to be
// sure about approx errors...
int jacobianSign = tsign(cross(xDer, yDer));
int sideDerXAgainstRectSideX = rectSideX * tsign(-xDer.y);
int sideDerXAgainstRectSideY = rectSideY * tsign(xDer.x);
int sideDerYAgainstRectSideX = rectSideX * tsign(-yDer.y);
int sideDerYAgainstRectSideY = rectSideY * tsign(yDer.x);
if (jacobianSign > 0) {
hasPositiveResults = true;
if (sideDerXAgainstRectSideX != -sideDerXAgainstRectSideY) {
// Rect lies on one side of the derivative line extension. Therefore, the
// inverted rect can be updated.
if (sideDerXAgainstRectSideX > 0 || sideDerXAgainstRectSideY > 0) {
posResult.y0 = std::min(posResult.y0, srcCorner.y - securityAddendum);
} else {
posResult.y1 = std::max(posResult.y1, srcCorner.y + securityAddendum);
}
}
if (sideDerYAgainstRectSideX != -sideDerYAgainstRectSideY) {
if (sideDerYAgainstRectSideX > 0 || sideDerYAgainstRectSideY > 0) {
posResult.x1 = std::max(posResult.x1, srcCorner.x + securityAddendum);
} else {
posResult.x0 = std::min(posResult.x0, srcCorner.x - securityAddendum);
}
}
} else if (jacobianSign < 0) {
hasNegativeResults = true;
if (sideDerXAgainstRectSideX != -sideDerXAgainstRectSideY) {
if (sideDerXAgainstRectSideX > 0 || sideDerXAgainstRectSideY > 0) {
negResult.y1 = std::max(posResult.y1, srcCorner.y + securityAddendum);
} else {
negResult.y0 = std::min(posResult.y0, srcCorner.y - securityAddendum);
}
}
if (sideDerYAgainstRectSideX != -sideDerYAgainstRectSideY) {
if (sideDerYAgainstRectSideX > 0 || sideDerYAgainstRectSideY > 0) {
negResult.x0 = std::min(posResult.x0, srcCorner.x - securityAddendum);
} else {
negResult.x1 = std::max(posResult.x1, srcCorner.x + securityAddendum);
}
}
}
}
//---------------------------------------------------------------------------------
TRectD PerspectiveDistorter::invMap(const TRectD &rect) const {
// For each corner, find the jacobian. Then, decide by which side the rect's
// pre-image lie with respect to the partial derivatives.
// Observe that the two horizon-separated semiplanes do not compete -
// the requirement for each is added to the result.
TPointD srcCorner, xDer, yDer;
double maxD = (std::numeric_limits<double>::max)();
TRectD positiveResult(maxD, maxD, -maxD, -maxD);
TRectD negativeResult(positiveResult);
bool hasPositiveResults = false, hasNegativeResults = false;
getJacobian(rect.getP00(), srcCorner, xDer, yDer);
updateResult(srcCorner, xDer, yDer, 1, 1, hasPositiveResults,
hasNegativeResults, positiveResult, negativeResult);
getJacobian(rect.getP10(), srcCorner, xDer, yDer);
updateResult(srcCorner, xDer, yDer, -1, 1, hasPositiveResults,
hasNegativeResults, positiveResult, negativeResult);
getJacobian(rect.getP01(), srcCorner, xDer, yDer);
updateResult(srcCorner, xDer, yDer, 1, -1, hasPositiveResults,
hasNegativeResults, positiveResult, negativeResult);
getJacobian(rect.getP11(), srcCorner, xDer, yDer);
updateResult(srcCorner, xDer, yDer, -1, -1, hasPositiveResults,
hasNegativeResults, positiveResult, negativeResult);
// If some maxD remain, no bound on that side was found. So replace with
// the opposite (unlimited on that side) maxD.
if (positiveResult.x0 == maxD) positiveResult.x0 = -maxD;
if (positiveResult.x1 == -maxD) positiveResult.x1 = maxD;
if (positiveResult.y0 == maxD) positiveResult.y0 = -maxD;
if (positiveResult.y1 == -maxD) positiveResult.y1 = maxD;
if (negativeResult.x0 == maxD) negativeResult.x0 = -maxD;
if (negativeResult.x1 == -maxD) negativeResult.x1 = maxD;
if (negativeResult.y0 == maxD) negativeResult.y0 = -maxD;
if (negativeResult.y1 == -maxD) negativeResult.y1 = maxD;
return hasPositiveResults
? hasNegativeResults ? positiveResult + negativeResult
: positiveResult
: hasNegativeResults ? negativeResult : TConsts::infiniteRectD;
}
//=================================================================================
//=============================
// BilinearDistorter
//=============================
// IDEA: This time, lines are mapped to curves, in general. Plus, from 0 to 2
// possible inverses
// may exist for the same destination point.
// Given the separation of the bilinear mapping in two bilinear mappings with an
// intermediate reference for the
// convex coordinates, it can be shown that a bounding estimate for the inverse
// of a rect can be found this way:
// 1. Inverse-map the corners of the rect in the convex-reference (ie find
// their convex coordinates)
// 2. Make their bounding box
// 3. Map its corners to the source reference
// 4. Return their bounding box
// In order to show that this actually works, consider the following result:
// A rect maps to a convex quadrilateral through a forward bilinear mapping (ie
// passages 3->4 and 2->1).
// It is sufficient to consider that lines map to lines through one such
// mapping, and that since it is
// also everywhere differentiable, its local behaviour around corners is that of
// a linear function, through
// which convex angles are only mappable to other convex angles.
//---------------------------------------------------------------------------------
TRectD BilinearDistorter::invMap(const TRectD &rect) const {
// Build the convex coordinates of the rect's corners.
TPointD invs[8];
int count[4];
count[0] = m_refToDest.invMap(rect.getP00(), &invs[0]);
count[1] = m_refToDest.invMap(rect.getP10(), &invs[2]);
count[2] = m_refToDest.invMap(rect.getP01(), &invs[4]);
count[3] = m_refToDest.invMap(rect.getP11(), &invs[6]);
double maxD = (std::numeric_limits<double>::max)();
TRectD bbox(maxD, maxD, -maxD, -maxD);
int i, j;
for (i = 0; i < 4; ++i) {
for (j = 0; j < count[i]; ++j) {
TPointD &inv(invs[j + 2 * i]);
bbox.x0 = std::min(bbox.x0, inv.x);
bbox.y0 = std::min(bbox.y0, inv.y);
bbox.x1 = std::max(bbox.x1, inv.x);
bbox.y1 = std::max(bbox.y1, inv.y);
}
}
if (bbox.x1 <= bbox.x0 || bbox.y1 <= bbox.y0)
return TConsts::infiniteRectD; // Should happen only if all counts are 0
invs[0] = m_refToSource.map(bbox.getP00());
invs[1] = m_refToSource.map(bbox.getP10());
invs[2] = m_refToSource.map(bbox.getP01());
invs[3] = m_refToSource.map(bbox.getP11());
bbox.x0 = std::min({invs[0].x, invs[1].x, invs[2].x, invs[3].x});
bbox.y0 = std::min({invs[0].y, invs[1].y, invs[2].y, invs[3].y});
bbox.x1 = std::max({invs[0].x, invs[1].x, invs[2].x, invs[3].x});
bbox.y1 = std::max({invs[0].y, invs[1].y, invs[2].y, invs[3].y});
return bbox.enlarge(5); // Enlarge a little just to be sure
}