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Range images captured from range scanning devices such as laser scanners or PMD (photonic mixer device) cameras, often possess drawbacks of having low resolution and/or missing regions due to occlusions, reflectivity, limited scanning area, sensor imperfections etc. In this work, we address both the issues in a single framework. We employ Bayesian regularization for resolution enhancement and inpainting...
Traditional stereo algorithms estimate disparity at the same resolution as the observations. In this work we address the problem of estimating disparity and occlusion information at a higher resolution (HR). We draw on the image formation model from the motion super-resolution domain to relate HR disparity and the observations. This approach estimates both the HR disparity and HR intensity. We minimize...
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