Perceptual Grouping from Motion Cues Using Tensor Voting
نویسندگان
چکیده
• Mircea Nicolescu, Changki Min, Gérard Medioni, "Analysis and Interpretation of Multiple Motions through Surface Saliency", SCVMA (in conjunction with the ECCV), 2004. • Mircea Nicolescu, Gérard Medioni, "Voting-Based Grouping and Interpretation of Visual Motion", Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2004. • Mircea Nicolescu, Gérard Medioni, “Motion Segmentation with Accurate Boundaries – A Tensor Voting Approach”, CVPR, 2003. Uniqueness & Related Work
منابع مشابه
Perceptual Grouping from Motion Cues Using Tensor Voting in 4-D
We present a novel approach for motion grouping from two frames, that recovers the dense velocity field, motion boundaries and regions, based on a 4-D Tensor Voting computational framework. Given two sparse sets of point tokens, we encode the image position and potential velocity for each token into a 4-D tensor. The voting process then enforces the motion smoothness while preserving motion dis...
متن کاملLayered 4D Representation and Voting for Grouping from Motion
We address the problem of perceptual grouping from motion cues by formulating it as a motion layers inference from a sparse and noisy point set in a 4D space. Our approach is based on a layered 4D representation of data, and a voting scheme for token communication, within a tensor voting computational framework. Given two sparse sets of point tokens, the image position and potential velocity of...
متن کاملPerceptual Grouping Based on Iterative Multi-scale Tensor Voting
We propose a new approach for perceptual grouping of oriented segments in highly cluttered images based on tensor voting. Segments are represented as second-order tensors and communicate with each other through a voting scheme that incorporates the Gestalt principles of visual perception. An iterative scheme has been devised which removes noise segments in a conservative way using multi-scale a...
متن کاملEdge-preserving color image denoising through tensor voting
This paper presents a new method for edge-preserving color image denoising based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework is adapted to encode color information through tensors in order to propagate them in a neighborhood by using a specific voting process. This voting process is speci...
متن کاملTensor Voting: Theory and Applications
We present a unified computational framework which properly implements the smoothness constraint to generate descriptions in terms of surfaces, regions, curves, and labelled junctions, from sparse, noisy, binary data in 2-D or 3-D. Each input site can be a point, a point with an associated tangent direction, a point with an associated normal direction, or any combination of the above. The metho...
متن کامل