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This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

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Color Guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model

This is the C implementation of the color guided AR model presented in "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. The original author provided MATLAB source code can be downloaded here:http://cs.tju.edu.cn/faculty/likun/projects/depth_recovery/index.htm. Our implementation can produce the same results as theirs. The difference is that we implement the method with C language and sparse matrix which is much faster and can handle much larger depth maps.


How to use

run MexFile.m first to compile the cpp file, then run main.m to perform experiments.


Related Work:

  1. "Robust Color Guided Depth Map Restoration.", Wei Liu, Xiaogang Chen, Jie Yang and Qiang Wu. In IEEE Transactions on Image Processing, 26(1), 315-327. Code
  2. "A generalized framework for edge-preserving and structure-preserving image smoothing." Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang, Jie Yang, and Michael Ng. IEEE Transactions on Transactions on Pattern Analysis and Machine Intelligence (2021). Code

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This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

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