same as EmptyDelete(), plus free all allocated memory

Erase each element matching "elem".

remove the given list of faces

remove multiple points based on the indices provided; the indices must be sorted in ascending order

Remove selected geometry (points and faces)

filter out small depth segments from the given depth map

remove all vertices that are not assigned to any face (require vertexFaces)

resize image if needed return scale

save the dense point-cloud having >=N views as PLY file

LoadViewNeighbors

save the dense point-cloud + scale as PLY file

score mesh using photo-consistency and compute vertices gradient using analytical method

compute pixel's NCC score

compute visibility for the reference image (the first image in "images") and select the best views for reconstructing the depth-map; extract also all

Set the ROI (region of interest) based on the current selection - aabb: if true, use axis-aligned bounding box; if false, use oriented bounding box

Core functionality

Custom settings implementation

Smoothen the normals for each face - fMaxGradient: maximum angle (in degrees) difference between neighbor normals that is allowed to take into conside

extract one sub-mesh for each texture, i.e. for each value of faceTexindices: - mapFaceSubsetIndices: if not null, for each face of the original mesh,

fetch sub-scene composed of the given image indices

decimate or subdivide mesh such that for each face there is no image pair in which its projection area is bigger than the given number of pixels in bo

decimate or subdivide mesh such that for each face there is no image pair in which its projection area is bigger than the given number of pixels in bo

TIFFOpen() mode flags are different to fopen(). A 'b' in mode "rb" has no effect when reading. http://www.remotesensing.org/libtiff/man/TIFFOpen.3tif

Microsoft Visual Studio 2003 and earlier or WinCE.

* @brief Test function for ConfidenceInterval calculations. * * This function tests the confidence interval calculation using a sample of values. *