Enfoque robusto para estimación del Mapa de disparidad basada en varios niveles de descomposición
(Robust Approach for Disparity Map Estimation Based on Multilevel Decomposition)
Victor Gonzalez Huiltron (email@example.com)1, Volodymyr Ponomaryov (firstname.lastname@example.org)1
1Instituto Politécnico Nacional de México
This paper appears in: Revista IEEE América Latina
Publication Date: June 2016
Volume: 14, Issue: 6
A novel approach for dense disparity map (DM) estimation is designed. The proposed frameworks include together processing of stereo pairs using the following blocks: CIEL*a*b* color space conversion, stereo matching via multilevel scheme, employing Normalized Cross-Correlation or Structural Similarity Index Measure, color segmentation by k-means on a*b* color plane, and adaptive post-filtering. The Bad Matching Pixels and Structural Similarity Index Measure criteria are applied in order to compare the performance of the proposed approach against state-of-the-art techniques. Two designed frameworks appear outperform existing state-of-the-art techniques in terms of objective criteria as well as in subjective visual perception.
Computer vision, Image processing, Disparity map
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