Multi-view stereo vision challenge

November 7th, 2006

A multi-view stereo evaluation has been proposed by Steve Seitz et al. The challenge involves recovering 3D reconstructions of complete objects from a large number of views. Among the reported techniques, two out of nine make an intensive usage of GPUs, both yielding large speedups: the work by Pons, Keriven and Labatut that took part in the original competition at CVPR06, and the work by Hornung and Kobbelt. Running times, accuracy and completeness of the methods are reported here. (Steve Seitz et al. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), New York, 2006.)