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Saint-Étienne-du-Rouvray, France

Wang F.,Avenue Of Luniversite Bp08 | Miron A.,Avenue Of Luniversite Bp08 | Ainouz S.,Avenue Of Luniversite Bp08 | Bensrhair A.,Avenue Of Luniversite Bp08
2014 IEEE International Conference on Image Processing, ICIP 2014

Stereo matching is a basic yet important issue in the research of computer vision. A key problem of stereo matching is how to efficiently use the information provided by the neighborhood. In some existing disparity refinement methods, it is observed that the disparity is fused only after having the disparity map, which unfortunately causes the lost of cost information. To make a better disparity fusion, a postaggregation method based on the Dempster-Shafer Theory (DST) is proposed in this paper to replace the traditional Winner-Takes-All (WTA) strategy. DST is used in the postaggregation by keeping and processing the aggregated cost in each disparity. The experiment is done with real road scenes and the results show that our method fits various cost functions, and that final disparity error can be reduced compared to WTA strategy. © 2014 IEEE. Source

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