Disparity estimation in stereo videos using spatio temporal disparity hyperplane models
We propose a method for disparity estimation in stereo video. We address the problems associated with spatially temporally correlated disparity variations (STCDV) STCDV problems are caused by complex motions, e.g. yaw rotation, pan tilt zoom camera movements, etc. The key novelty of this study is to introduce a spatio temporal disparity hyperplane (STDH) model. The proposed STDH model represents a hyperplane defined in four dimensional space spanned by disparity, image plane, and time coordinates. Our STDH model is represented by surface normals varying with the spatially temporally correlated changes in disparity. Thus, our STDH model is effective in estimating disparity in a stereo video including STCDVs. We estimate video disparity by incorporating our STDH model into the PatchMatch brief propagation framework. Our experiments demonstrate that the proposed method outperforms other methods.
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)