3D keypoints (MeshDOG) and local descriptors (MeshHOG) for uniformly triangulated meshes

This is a C++ implementation of a 3D feature detector (MeshDOG) and a 3D feature descriptor (MeshHOG) for uniformly triangulated meshes, invariant to changes in rotation, translation, and scale. Both the detector and the descriptor are able to capture the local geometric and/or photometric properties in a succinct fashion. Moreover, they are defined generically for any scalar function, e.g., local curvature, texture, color, etc. For more information and for software download, please visit: http://mvviewer.gforge.inria.fr/
Andrei Zaharescu; Edmond Boyer; Radu Horaud
International Journal of Computer Vision, Kluwer Academic Publishers, 2012, 100 (1), pp. 78-98
meshhog_journal_ijcv_Final.pdf BibTex
Andrei Zaharescu; Edmond Boyer; Kiran Varanasi; Radu Horaud
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR’09), Jun 2009, Miami, United States.
ZaharescuCVPR09.pdf BibTex