Using crest lines to guide surface reconstruction from stereo

We propose an approach to interleave surface reconstruction from multiple images and feature extraction. It uses an object-centered representation that is optimized to conform to the surface shape. It also extracts typical features such as crest lines and uses them to guide the optimization. We present results using aerial images and terrain data.

[1]  Jean Ponce.  Représentation des objets tridimensionnels , 1988 .

[2]  Alexis Gourdon,et al.  Computing the Differential Characteristics of Isointensity Surfaces , 1995, Comput. Vis. Image Underst..

[3]  Pascal Fua,et al.  Imposing Hard Constraints on Soft Snakes , 1996, ECCV.

[4]  Jan J. Koenderink,et al.  Solid shape , 1990 .

[5]  Ivan Bricault,et al.  From Volume Medical Images to Quadratic Surface Patches , 1997, Comput. Vis. Image Underst..

[6]  Rachid Deriche,et al.  Extraction of the zero-crossings of the curvature derivatives in volumic 3D medical images: a multi-scale approach , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[7]  Manfredo P. do Carmo,et al.  Differential geometry of curves and surfaces , 1976 .

[8]  O. Monga,et al.  Using partial Derivatives of 3D images to extract typical surface features , 1992, Proceedings of the Third Annual Conference of AI, Simulation, and Planning in High Autonomy Systems 'Integrating Perception, Planning and Action'..