Robust and Efficient Detection of Salient Convex Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Grouping symmetrical structures for object segmentation and description
Computer Vision and Image Understanding
Perceptual completion of occluded surfaces
Computer Vision and Image Understanding
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Segmentation by MAP Labeling of Watershed Segments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Globally Optimal Regions and Boundaries as Minimum Ratio Weight Cycles
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
B-spline Contour Representation and Symmetry Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Layered Motion Representation with Occlusion and Compact Spatial Support
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Class-Specific, Top-Down Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Geometric Saliency of Curve Correspondances and Grouping of Symmetric Comntours
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Stochastic completion fields: a neural model of illusory contour shape and salience
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Region tracking through image sequences
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Probabilistic Space-Time Video Modeling via Piecewise GMM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Perceptual Grouping for Contour Extraction
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Salient Closed Boundary Extraction with Ratio Contour
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
International Journal of Computer Vision
Scale-Invariant Contour Completion Using Conditional Random Fields
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Robust Boundary DetectionWith Adaptive Grouping
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonchronological Video Synopsis and Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal contour closure by superpixel grouping
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Category independent object proposals
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Recovering human body configurations: combining segmentation and recognition
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Edge Grouping Combining Boundary and Region Information
IEEE Transactions on Image Processing
Representing moving images with layers
IEEE Transactions on Image Processing
Unsupervised video segmentation based on watersheds and temporal tracking
IEEE Transactions on Circuits and Systems for Video Technology
Partition cortical surfaces into supervertices: method and application
MeshMed'12 Proceedings of the 2012 international conference on Mesh Processing in Medical Image Analysis
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Detecting independent objects in images and videos is an important perceptual grouping problem. One common perceptual grouping cue that can facilitate this objective is the cue of contour closure, reflecting the spatial coherence of objects in the world and their projections as closed boundaries separating figure from background. Detecting contour closure in images consists of finding a cycle of disconnected contour fragments that separates an object from its background. Searching the entire space of possible groupings is intractable, and previous approaches have adopted powerful perceptual grouping heuristics, such as proximity and co-curvilinearity, to constrain the search. We introduce a new formulation of the problem, by transforming the problem of finding cycles of contour fragments to finding subsets of superpixels whose collective boundary has strong edge support (few gaps) in the image. Our cost function, a ratio of a boundary gap measure to area, promotes spatially coherent sets of superpixels. Moreover, its properties support a global optimization procedure based on parametric maxflow. Extending closure detection to videos, we introduce the concept of spatiotemporal closure. Analogous to image closure, we formulate our spatiotemporal closure cost over a graph of spatiotemporal superpixels. Our cost function is a ratio of motion and appearance discontinuity measures on the boundary of the selection to an internal homogeneity measure of the selected spatiotemporal volume. The resulting approach automatically recovers coherent components in images and videos, corresponding to objects, object parts, and objects with surrounding context, providing a good set of multiscale hypotheses for high-level scene analysis. We evaluate both our image and video closure frameworks by comparing them to other closure detection approaches, and find that they yield improved performance.