/*========================================================================= Program: Visualization Toolkit Module: vtkLinearTransform.cxx Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen All rights reserved. See Copyright.txt or http://www.kitware.com/Copyright.htm for details. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the above copyright notice for more information. =========================================================================*/ #include "vtkLinearTransform.h" #include "vtkDataArray.h" #include "vtkMath.h" #include "vtkMatrix4x4.h" #include "vtkPoints.h" #include "vtkSMPTools.h" //------------------------------------------------------------------------------ void vtkLinearTransform::PrintSelf(ostream& os, vtkIndent indent) { this->Superclass::PrintSelf(os, indent); } namespace { // anonymous //------------------------------------------------------------------------------ template inline void vtkLinearTransformPoint(T1 matrix[4][4], T2 in[3], T3 out[3]) { T3 x = static_cast( matrix[0][0] * in[0] + matrix[0][1] * in[1] + matrix[0][2] * in[2] + matrix[0][3]); T3 y = static_cast( matrix[1][0] * in[0] + matrix[1][1] * in[1] + matrix[1][2] * in[2] + matrix[1][3]); T3 z = static_cast( matrix[2][0] * in[0] + matrix[2][1] * in[1] + matrix[2][2] * in[2] + matrix[2][3]); out[0] = x; out[1] = y; out[2] = z; } //------------------------------------------------------------------------------ template inline void vtkLinearTransformDerivative(T1 matrix[4][4], T2 in[3], T3 out[3], T4 derivative[3][3]) { vtkLinearTransformPoint(matrix, in, out); for (int i = 0; i < 3; i++) { derivative[0][i] = static_cast(matrix[0][i]); derivative[1][i] = static_cast(matrix[1][i]); derivative[2][i] = static_cast(matrix[2][i]); } } //------------------------------------------------------------------------------ template inline void vtkLinearTransformVector(T1 matrix[4][4], T2 in[3], T3 out[3]) { T3 x = static_cast(matrix[0][0] * in[0] + matrix[0][1] * in[1] + matrix[0][2] * in[2]); T3 y = static_cast(matrix[1][0] * in[0] + matrix[1][1] * in[1] + matrix[1][2] * in[2]); T3 z = static_cast(matrix[2][0] * in[0] + matrix[2][1] * in[1] + matrix[2][2] * in[2]); out[0] = x; out[1] = y; out[2] = z; } //------------------------------------------------------------------------------ template inline void vtkLinearTransformNormal(T1 mat[4][4], T2 in[3], T3 out[3]) { // to transform the normal, multiply by the transposed inverse matrix T1 matrix[4][4]; memcpy(*matrix, *mat, 16 * sizeof(T1)); vtkMatrix4x4::Invert(*matrix, *matrix); vtkMatrix4x4::Transpose(*matrix, *matrix); vtkLinearTransformVector(matrix, in, out); vtkMath::Normalize(out); } // This controls when to switch to threading. It is based on empirical // experiments and could readily be changed. constexpr int VTK_SMP_THRESHOLD = 350000; //------------------------------------------------------------------------------ template inline void vtkLinearTransformPoints(T1 matrix[4][4], T2* in, T3* out, vtkIdType n) { // Switch based on the number of points to transform: serial processing is // faster for a smaller number of transformations. if (n >= VTK_SMP_THRESHOLD) { vtkSMPTools::For(0, n, [&](vtkIdType ptId, vtkIdType endPtId) { T2* pin = in + 3 * ptId; T3* pout = out + 3 * ptId; for (; ptId < endPtId; ++ptId) { vtkLinearTransformPoint(matrix, pin, pout); pin += 3; pout += 3; } }); } else { for (vtkIdType i = 0; i < n; i++) { vtkLinearTransformPoint(matrix, in, out); in += 3; out += 3; } } } //------------------------------------------------------------------------------ template inline void vtkLinearTransformVectors(T1 matrix[4][4], T2* in, T3* out, vtkIdType n) { // Switch based on the number of points to transform: serial processing is // faster for a smaller number of transformations. if (n >= VTK_SMP_THRESHOLD) { vtkSMPTools::For(0, n, [&](vtkIdType ptId, vtkIdType endPtId) { T2* pin = in + 3 * ptId; T3* pout = out + 3 * ptId; for (; ptId < endPtId; ++ptId) { vtkLinearTransformVector(matrix, pin, pout); pin += 3; pout += 3; } }); } else { for (vtkIdType i = 0; i < n; i++) { vtkLinearTransformVector(matrix, in, out); in += 3; out += 3; } } } //------------------------------------------------------------------------------ template inline void vtkLinearTransformNormals(T1 matrix[4][4], T2* in, T3* out, vtkIdType n) { // Switch based on the number of points to transform: serial processing is // faster for a smaller number of transformations. if (n >= VTK_SMP_THRESHOLD) { vtkSMPTools::For(0, n, [&](vtkIdType ptId, vtkIdType endPtId) { T2* pin = in + 3 * ptId; T3* pout = out + 3 * ptId; for (; ptId < endPtId; ++ptId) { // matrix has been transposed & inverted, so use TransformVector vtkLinearTransformVector(matrix, pin, pout); vtkMath::Normalize(pout); pin += 3; pout += 3; } }); } else { for (vtkIdType i = 0; i < n; i++) { // matrix has been transposed & inverted, so use TransformVector vtkLinearTransformVector(matrix, in, out); vtkMath::Normalize(out); in += 3; out += 3; } } } } // anonymous namespace //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformPoint(const float in[3], float out[3]) { vtkLinearTransformPoint(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformPoint(const double in[3], double out[3]) { vtkLinearTransformPoint(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformNormal(const float in[3], float out[3]) { vtkLinearTransformNormal(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformNormal(const double in[3], double out[3]) { vtkLinearTransformNormal(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformVector(const float in[3], float out[3]) { vtkLinearTransformVector(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformVector(const double in[3], double out[3]) { vtkLinearTransformVector(this->Matrix->Element, in, out); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformDerivative( const float in[3], float out[3], float derivative[3][3]) { vtkLinearTransformDerivative(this->Matrix->Element, in, out, derivative); } //------------------------------------------------------------------------------ void vtkLinearTransform::InternalTransformDerivative( const double in[3], double out[3], double derivative[3][3]) { vtkLinearTransformDerivative(this->Matrix->Element, in, out, derivative); } //------------------------------------------------------------------------------ // Transform the normals and vectors using the derivative of the // transformation. Either inNms or inVrs can be set to nullptr. // Normals are multiplied by the inverse transpose of the transform // derivative, while vectors are simply multiplied by the derivative. // Note that the derivative of the inverse transform is simply the // inverse of the derivative of the forward transform. void vtkLinearTransform::TransformPointsNormalsVectors(vtkPoints* inPts, vtkPoints* outPts, vtkDataArray* inNms, vtkDataArray* outNms, vtkDataArray* inVrs, vtkDataArray* outVrs, int nOptionalVectors, vtkDataArray** inVrsArr, vtkDataArray** outVrsArr) { this->TransformPoints(inPts, outPts); if (inNms) { this->TransformNormals(inNms, outNms); } if (inVrs) { this->TransformVectors(inVrs, outVrs); } if (inVrsArr) { for (int iArr = 0; iArr < nOptionalVectors; iArr++) { this->TransformVectors(inVrsArr[iArr], outVrsArr[iArr]); } } } //------------------------------------------------------------------------------ void vtkLinearTransform::TransformPoints(vtkPoints* inPts, vtkPoints* outPts) { vtkIdType n = inPts->GetNumberOfPoints(); vtkIdType m = outPts->GetNumberOfPoints(); double(*matrix)[4] = this->Matrix->Element; this->Update(); // operate directly on the memory to avoid GetPoint()/SetPoint() calls. vtkDataArray* inArray = inPts->GetData(); vtkDataArray* outArray = outPts->GetData(); int inType = inArray->GetDataType(); int outType = outArray->GetDataType(); void* inPtr = inArray->GetVoidPointer(0); void* outPtr = outArray->WriteVoidPointer(3 * m, 3 * n); if (inType == VTK_FLOAT && outType == VTK_FLOAT) { vtkLinearTransformPoints(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_FLOAT && outType == VTK_DOUBLE) { vtkLinearTransformPoints(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_FLOAT) { vtkLinearTransformPoints(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_DOUBLE) { vtkLinearTransformPoints(matrix, static_cast(inPtr), static_cast(outPtr), n); } else { double point[3]; for (vtkIdType i = 0; i < n; i++) { inPts->GetPoint(i, point); vtkLinearTransformPoint(matrix, point, point); outPts->SetPoint(m + i, point); } } } //------------------------------------------------------------------------------ void vtkLinearTransform::TransformNormals(vtkDataArray* inNms, vtkDataArray* outNms) { vtkIdType n = inNms->GetNumberOfTuples(); vtkIdType m = outNms->GetNumberOfTuples(); double matrix[4][4]; this->Update(); // to transform the normal, multiply by the transposed inverse matrix vtkMatrix4x4::DeepCopy(*matrix, this->Matrix); vtkMatrix4x4::Invert(*matrix, *matrix); vtkMatrix4x4::Transpose(*matrix, *matrix); // operate directly on the memory to avoid GetTuple()/SetPoint() calls. int inType = inNms->GetDataType(); int outType = outNms->GetDataType(); void* inPtr = inNms->GetVoidPointer(0); void* outPtr = outNms->WriteVoidPointer(3 * m, 3 * n); if (inType == VTK_FLOAT && outType == VTK_FLOAT) { vtkLinearTransformNormals(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_FLOAT && outType == VTK_DOUBLE) { vtkLinearTransformNormals(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_FLOAT) { vtkLinearTransformNormals(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_DOUBLE) { vtkLinearTransformNormals(matrix, static_cast(inPtr), static_cast(outPtr), n); } else { for (vtkIdType i = 0; i < n; i++) { double norm[3]; inNms->GetTuple(i, norm); // use TransformVector because matrix is already transposed & inverted vtkLinearTransformVector(matrix, norm, norm); vtkMath::Normalize(norm); outNms->SetTuple(m + i, norm); } } } //------------------------------------------------------------------------------ void vtkLinearTransform::TransformVectors(vtkDataArray* inVrs, vtkDataArray* outVrs) { vtkIdType n = inVrs->GetNumberOfTuples(); vtkIdType m = outVrs->GetNumberOfTuples(); double(*matrix)[4] = this->Matrix->Element; this->Update(); // operate directly on the memory to avoid GetTuple()/SetTuple() calls. int inType = inVrs->GetDataType(); int outType = outVrs->GetDataType(); void* inPtr = inVrs->GetVoidPointer(0); void* outPtr = outVrs->WriteVoidPointer(3 * m, 3 * n); if (inType == VTK_FLOAT && outType == VTK_FLOAT) { vtkLinearTransformVectors(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_FLOAT && outType == VTK_DOUBLE) { vtkLinearTransformVectors(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_FLOAT) { vtkLinearTransformVectors(matrix, static_cast(inPtr), static_cast(outPtr), n); } else if (inType == VTK_DOUBLE && outType == VTK_DOUBLE) { vtkLinearTransformVectors(matrix, static_cast(inPtr), static_cast(outPtr), n); } else { for (vtkIdType i = 0; i < n; i++) { double vec[3]; inVrs->GetTuple(i, vec); vtkLinearTransformVector(matrix, vec, vec); outVrs->SetTuple(m + i, vec); } } }