Hierarchical Chamfer Matching: A Parametric Edge Matching Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Nonlinear Statistics of High-Contrast Patches in Natural Images
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Fusion of range and color images for denoising and resolution enhancement with a non-local filter
Computer Vision and Image Understanding
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Technologies for measuring range data were intensively developed in recent years. The Time-Of-Flight matrix range sensor is one of the most active range acquisition devices, due to its effective suppression of background illumination, relative low cost and high portability. However, the resolution of such 3D range sensor is much lower than that of a modern colour image. This paper presents a solution to the problem of deriving a high-resolution depth image from a low-resolution sensor and a high-resolution colour image. The proposed algorithm is a modification of the Markov Random Fields fusion method that was presented by Diebel and Thrun (2005). Two extensions are suggested to improve the optimisation criteria.