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16 March 2000 Direct estimation of 3D motion parameters and relative depth using the minimum description length principle
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Abstract
This paper in on direct estimation of a dense map of 3D motion and depth from a sequence of images. The proposed method is a gradient-based method which uses the minimum description length principle to formulate the problem as a minimization of a length of description cost function. The method is direct as it does not need priori estimation of optical flow. The minimization is carried out by continuation and resolved numerically by Jacobi iterations. Experimental results are provided.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Souad Hadjres and Amar Mitiche "Direct estimation of 3D motion parameters and relative depth using the minimum description length principle", Proc. SPIE 3958, Three-Dimensional Image Capture and Applications III, (16 March 2000); https://doi.org/10.1117/12.380030
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