A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching

@inproceedings{Zhu2012ALL,
  title={A Locally Linear Regression Model for Boundary Preserving Regularization in Stereo Matching},
  author={Shengqi Zhu and Li Zhang and Hailin Jin},
  booktitle={ECCV},
  year={2012}
}
We propose a novel regularization model for stereo matching that uses large neighborhood windows. The model is based on the observation that in a local neighborhood there exists a linear relationship between pixel values and disparities. Compared to the traditional boundary preserving regularization models that use adjacent pixels, the proposed model is robust to image noise and captures higher level interactions. We develop a globally optimized stereo matching algorithm based on this… CONTINUE READING
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