use of boofcv.abst.feature.disparity.WrapDisparitySparseSadRect in project BoofCV by lessthanoptimal.
the class FactoryStereoDisparity method regionSparseWta.
/**
* WTA algorithms that computes disparity on a sparse per-pixel basis as requested..
*
* @param minDisparity Minimum disparity that it will check. Must be ≥ 0 and < maxDisparity
* @param maxDisparity Maximum disparity that it will calculate. Must be > 0
* @param regionRadiusX Radius of the rectangular region along x-axis.
* @param regionRadiusY Radius of the rectangular region along y-axis.
* @param maxPerPixelError Maximum allowed error in a region per pixel. Set to < 0 to disable.
* @param texture Tolerance for how similar optimal region is to other region. Closer to zero is more tolerant.
* Try 0.1
* @param subpixelInterpolation true to turn on sub-pixel interpolation
* @param imageType Type of input image.
* @param <T> Image type
* @return Sparse disparity algorithm
*/
public static <T extends ImageGray<T>> StereoDisparitySparse<T> regionSparseWta(int minDisparity, int maxDisparity, int regionRadiusX, int regionRadiusY, double maxPerPixelError, double texture, boolean subpixelInterpolation, Class<T> imageType) {
double maxError = (regionRadiusX * 2 + 1) * (regionRadiusY * 2 + 1) * maxPerPixelError;
if (imageType == GrayU8.class) {
DisparitySparseSelect<int[]> select;
if (subpixelInterpolation)
select = selectDisparitySparseSubpixel_S32((int) maxError, texture);
else
select = selectDisparitySparse_S32((int) maxError, texture);
DisparitySparseScoreSadRect<int[], GrayU8> score = scoreDisparitySparseSadRect_U8(minDisparity, maxDisparity, regionRadiusX, regionRadiusY);
return new WrapDisparitySparseSadRect(score, select);
} else if (imageType == GrayF32.class) {
DisparitySparseSelect<float[]> select;
if (subpixelInterpolation)
select = selectDisparitySparseSubpixel_F32((int) maxError, texture);
else
select = selectDisparitySparse_F32((int) maxError, texture);
DisparitySparseScoreSadRect<float[], GrayF32> score = scoreDisparitySparseSadRect_F32(minDisparity, maxDisparity, regionRadiusX, regionRadiusY);
return new WrapDisparitySparseSadRect(score, select);
} else
throw new RuntimeException("Image type not supported: " + imageType.getSimpleName());
}
Aggregations