Object segmentation based on disparity estimation
Qian Zhang, Suxing Liu, Ping An, Zhaoyang Zhang · 2009
Object segmentation plays an important role in multi-view video analysis. In this paper, we present a new object segmentation method for multi-view video in which only the disparity is used for segmentation and the motion estimation is neglected. Firstly, a modified locally adaptive support-weight approach is proposed for disparity estimation. Then, segmentation is realized by mean-shift algorithm. The experimental results show that proposed method could segment the semantically meaningful objects from complex background with high precision.