Extending Patchmatch Stereo to Multiple-View Case by Using Neighboring Images

Multiple-view stereo reconstruction is a key step in image-based 3D acquisition and patchmatch based method is suited for large scale scene reconstruction. In this paper we extend the two-view patchmatch stereo to multiple-view in the multiple-view stereo pipeline. The key of the proposed method is to select multiple suitable neighboring images for a reference image, compute the depth-maps and merge the depth-maps. Experimental results on benchmark data sets demonstrate the accuracy and efficiency of the proposed method.