Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Perceptual Organization to Extract 3D Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Detection by Constrained Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Verification of Hypothesized Matches in Model-Based Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grouping-Based Nonadditive Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Finding Best Matches in Logarithmic Expected Time
ACM Transactions on Mathematical Software (TOMS)
Figure-Ground Discrimination: A Combinatorial Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Quantitative Analysis of Grouping Processes
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Grouping-Based Nonadditive Verification
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Performance of Connected Components Grouping
International Journal of Computer Vision
Perceptual organization based computational model for robust segmentation of moving objects
Computer Vision and Image Understanding
Segmentation of brush strokes by saliency preserving dual graph contraction
Pattern Recognition Letters - Special issue: Graph-based representations in pattern recognition
Segmentation of Multiple Salient Closed Contours from Real Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design Considerations for Generic Grouping in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ground from Figure Discrimination
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Perceptual Grouping by Selection of a Logically Minimal Model
International Journal of Computer Vision
Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation Given Partial Grouping Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Distribution of Saliency
IEEE Transactions on Pattern Analysis and Machine Intelligence
Global Detection of Salient Convex Boundaries
International Journal of Computer Vision
A Global Contour-Grouping Algorithm Based on Spectral Clustering
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Detection of unexpected multi-part objects from segmented contour maps
Pattern Recognition
Color image segmentation based on the normal distribution and the dynamic thresholding
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
A simple fuzzy clustering approach (SFCA) for supporting for short-range positioning
Proceedings of the 8th ACM international workshop on Mobility management and wireless access
Contour grouping by clustering with multi-feature similarity measure
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
Recovering Occlusion Boundaries from an Image
International Journal of Computer Vision
Selective attention guided perceptual grouping model
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
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This paper presents a generic method for perceptual grouping quality. The grouping method is fairly general: It may be used the grouping of various types of data features, and to incorporate different grouping cues operating over feature sets of different sizes. The proposed method is divided into two parts: constructing a graph representation of the available perceptual grouping evidence, and then finding the "best" partition of the graph into groups. The first stage includes a cue enhancement procedure, which integrates the information available from multifeature cues into very reliable bifeature cues. Both stages are implemented using known statistical tools such as Wald's SPRT algorithm and the Maximum Likelihood criterion. The accompanying theoretical analysis of this grouping criterion quantifies intuitive expectations and predicts that the expected grouping quality increases with cue reliability. It also shows that investing more computational effort in the grouping algorithm leads to better grouping results. This analysis, which quantifies the grouping power of the Maximum Likelihood criterion, is independent of the grouping domain. To our best knowledge, such an analysis of a grouping process is given here for the first time. Three grouping algorithms, in three different domains, are synthesized as instances of the generic method. They demonstrate the applicability and generality of this grouping method.