International Journal of Computer Vision
Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Inference of Surfaces, 3D Curves, and Junctions from Sparse, Noisy, 3D Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
International Journal of Computer Vision - 1998 Marr Prize
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Computer and Robot Vision
A Paraperspective Factorization Method for Shape and Motion Recovery
ECCV '94 Proceedings of the Third European Conference-Volume II on Computer Vision - Volume II
Robust Computation and Parametrization of Multiple View Relations
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Instantaneous 3D motion from image derivatives using the Least Trimmed Square regression
Pattern Recognition Letters
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A novel approach is presented for recovering the motion parameters of a camera from two frames. The proposed method does not require establishing point correspondences between the images, as does most current techniques. Our approach is also more straightforward than the very few non-correspondence motion estimation algorithms. It is based on the estimation of structure for each given set of motion parameters. This resulting structure is then evaluated in an optimization process using saliency metrics, until the best structure and motion parameters are obtained. In this work we have devised and tested two different structure metrics: the first based on scatter and the second using tensor voting. Experimental results show that this method is effective and can be used in video-based scene modeling systems.