Mean shift is an iterative mode-seeking algorithm widely used in pattern recognition and computer vision. However, its convergence is sometimes too slow to be practical. In this pa...
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Using the variational approaches to estimate optical flow between two frames, the flow discontinuities between different motion fields are usually not distinguished even when an an...
Jiangjian Xiao, Hui Cheng, Harpreet S. Sawhney, Ce...
A novel technique for extracting texture edges is introduced. It is based on the combination of two ideas: the patch-based approach, and non-parametric tests of distributions. Our ...
Lior Wolf, Xiaolei Huang, Ian Martin, Dimitris N. ...
We present a method for retexturing non-rigid objects from a single viewpoint. Without reconstructing 3D geometry, we create realistic video with shape cues at two scales. At a coa...
Diffusion processes driven by anisotropic diffusion tensors are known to be well-suited for structure-preserving denoising. However, numerical implementations based on finite diffe...
Although color is commonly experienced as an indispensable quality in describing the world around us, state-of-the art local featurebased representations are mostly based on shape ...
We consider the problem of nonrigid shape and motion recovery from point correspondences in multiple perspective views. It is well known that the constraints among multiple views o...