Growing Aggregation Algorithm for Dense Two-frame Stereo Correspondence

  title={Growing Aggregation Algorithm for Dense Two-frame Stereo Correspondence},
  author={Elisabetta Binaghi and Ignazio Gallo and Chiara Fornasier and Mario Raspanti},
This work aims at defining a new method for matching correspondences in stereoscopic image analysis. The salient aspects of the method are -an explicit representation of occlusions driving the overall matching process and the use of neural adaptive technique in disparity computation. In particular, based on the taxonomy proposed by Scharstein and Szelinsky, the dense stereo matching process has been divided into three tasks: matching cost computation, aggregation of local evidence and… CONTINUE READING
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