Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual organization of occluding contours of opaque surfaces
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
Signal Processing for Computer Vision
Signal Processing for Computer Vision
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of Salient Closed Contours from Real Images
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Perceptual grouping for automatic detection of man-made structures in high-resolution SAR data
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
A computational approach to illusory contour perception based on the tensor voting technique
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
Edge-preserving color image denoising through tensor voting
Computer Vision and Image Understanding
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We show how the perceptual grouping method known as tensor voting can be applied to grey-level images by introducing the use of local orientation tensors computed from a set of Gabor filters. While inputs formerly consisted of binary images or sparse edgel maps, our extension yields oriented input tokens and the locations of junctions as input to the perceptual grouping. In order to handle dense input maps, the tensor voting framework is extended by the introduction of grouping fields with inhibitory regions. Results of the method are demonstrated on example images.