Stereo video matching with color proportion and temporal correlation for belief propagation

作者：Ma Xing; Chen He Xin; Zhao Yan^*; Mu Chun Yang

来源：Journal of Jilin University (Engineering and Technology Edition), 2010, 40(6): 1704-1709.

• Belief propagation
• Carnegie Mellon University
• Information processing technology
• Markov Random Field model
• Markov Random Fields
• Point rendering
• Real scenes
• Stereo disparity
• Stereo video
• Temporal correlations

An improved stereo video matching method was proposed. First, Markov random field model was used to build the stereo disparity model. Then the intensity and color proportion were employed to compute the belief. Finally the disparity sequence was computed by temporal correlation refreshed disparity value locally. Real scene provided by Carnegie Mellon University was tested. Experimental results show that the matching result based on luminance and color proportion is more accurate than the one based on luminance only. Using the temporal correlation matching method the computing iteration time could be reduced by 83.3%, which can provide high efficient disparity sequence for stereo video compression and free view point rendering.

• 出版日期2010