Direct estimation of 3D motion parameters and relative depth using the minimum description length principle

Souad Hadjres; Amar Mitiche

doi:10.1117/12.380030

16 March 2000 Direct estimation of 3D motion parameters and relative depth using the minimum description length principle

Souad Hadjres, Amar Mitiche

Author Affiliations +

Proceedings Volume 3958, Three-Dimensional Image Capture and Applications III; (2000) https://doi.org/10.1117/12.380030
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

Citation Download Citation

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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