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Integration of geometric elements, Euclidean relations, and motion curves for parametric shape and motion estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
This paper presents an approach to shape and motion estimation that integrates heterogeneous knowledge into a unique model-based framework. We describe the observed scenes in terms of structured geometric elements (points, line segments, rectangles, 3D corners) sharing explicitly Euclidean relationships (orthogonality, parallelism, colinearity, coplanarity). Camera trajectories are represented with adaptative models which account for the regularity of usual camera motions.Two differentdoi:10.1109/tpami.2005.245 pmid:16355662 fatcat:yfsplvt5njfldaesg2jyh6l6hu