Depth Map Upsampling via Compressive Sensing

  title={Depth Map Upsampling via Compressive Sensing},
  author={Longquan Dai and Haoxing Wang and Xing Mei and Xiaopeng Zhang},
  journal={2013 2nd IAPR Asian Conference on Pattern Recognition},
We propose a new method to enhance the lateral resolution of depth maps with registered high-resolution color images. Inspired by the theory of Compressive Sensing (CS), we formulate the up sampling task as a sparse signal recovery problem. With a reference color image, the low-resolution depth map is converted into suitable sampling data (measurements). The signal recovery problem, defined in a constrained optimization framework, can be efficiently solved with variable splitting and… CONTINUE READING
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