3 accepted papers
A common smoothness model used in graph based regularization approaches is to require the energy of signals to be small with respect to the graph Laplacian of the graph. In this paper, we suggest an alternative approach which can effectively incorporate the high frequency information of the graph fo…
We propose a new framework for manifold denoising using the Spectral Graph Wavelet transform, which enables non-iterative denoising directly in the graph frequency domain, an approach inspired by conventional wavelet-based signal denoising methods. We theoretically justify our approach, based on the…
We address the problem of robust instance detection in RGB-D image in the presence of noisy data, cluttering, partial occlusion and large pose variation. We extract contour points from the depth image, construct a Surface Oriented Traverse (SOT) feature for each contour point and further classify it…