Edge-preserving simultaneous joint motion-disparity estimation

Dongbo Min, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

23 Scopus citations


We propose an energy-based joint motion and disparity estimation algorithm with an anisotropic diffusion operator to yield correct and dense displacement vectors. The model estimates the left and right motions simultaneously in order to increase accuracy. We use the Euler-Lagrange equation with variational methods and solve the equation with the finite difference method (FDM). Then, the method computes the initial disparity in the current frame with joint estimation constraint, and regularizes this disparity by using our energy model. Experimental results show that the proposed algorithm provides accurate motion-disparity maps, and preserve the discontinuities of the object boundaries well.

Original languageEnglish
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Number of pages4
StatePublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 20 Aug 200624 Aug 2006

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651


Conference18th International Conference on Pattern Recognition, ICPR 2006
CityHong Kong


Dive into the research topics of 'Edge-preserving simultaneous joint motion-disparity estimation'. Together they form a unique fingerprint.

Cite this