Title :
Generating the initial hypothesis using perspective invariants for a 2D image and 3D model matching
Author :
Quan, Long ; Mohr, Roger ; Thirion, Eric
Author_Institution :
CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France
Abstract :
Generation of the initial matching hypothesis for a model-based monocular vision system is presented. The primitive shape description of images is a set of line segments and the model is automatically constructed from a sequence of stereo views. The key points of the approach are the use of vanishing points and other perspective invariants such as collinearity, connectivity, and the use of double ratios to get rid of matching ambiguities
Keywords :
pattern recognition; picture processing; 2D image; 3D model matching; collinearity; connectivity; double ratios; line segments; matching ambiguities; model-based monocular vision system; pattern recognition; perspective invariants; picture processing; primitive shape description; stereo views; vanishing points; Computational geometry; Distortion measurement; Image analysis; Image segmentation; Layout; Length measurement; Machine vision; Mobile robots; Shape; Solid modeling;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28386
