Visual reconstruction
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
The Computation of Visible-Surface Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Part segmentation for object recognition
Neural Computation
Automatic extraction of deformable part models
International Journal of Computer Vision
International Journal of Computer Vision
Robust regression methods for computer vision: a review
International Journal of Computer Vision
Closed-Form Solutions for Physically Based Shape Modeling and Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computing occluding and transparent motions
International Journal of Computer Vision
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Robot Vision
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Compact Representations of Videos Through Dominant and Multiple Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Superquadrics for Segmenting and Modeling Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Reweighted MAP Motion Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Optical Flow Computation Based on Least-Median-of-Squares Regression
International Journal of Computer Vision
Design and Use of Linear Models for Image Motion Analysis
International Journal of Computer Vision
Self-Organization of Pulse-Coupled Oscillators with Application to Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deformable Shape Detection and Description via Model-Based Region Grouping
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing a Multivalued Representation for View Synthesis
International Journal of Computer Vision
Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation
International Journal of Computer Vision
Optimal Level Curves and Global Minimizers of Cost Functionals in Image Segmentation
Journal of Mathematical Imaging and Vision
A Layered Motion Representation with Occlusion and Compact Spatial Support
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Image Segmentation by Flexible Models Based on Robust Regularized Networks
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Shape-Guided Split and Merge of Image Regions
IWVF-4 Proceedings of the 4th International Workshop on Visual Form
Salient and Multiple Illusory Surfaces
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A Layered Approach to Stereo Reconstruction
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
International Journal of Computer Vision
Stereo Matching with Linear Superposition of Layers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object based segmentation of video using variational level sets
Machine Graphics & Vision International Journal
Video object segmentation by motion-based sequential feature clustering
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Correspondence as energy-based segmentation
Image and Vision Computing
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Range image recognition based on statistical multiresolution approach
TELE-INFO'05 Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics
Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
International Journal of Computer Vision
Color video segmentation using fuzzy c-mean clustering with spatial information
WAV'09 Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science
Color video segmentation using Fuzzy C-mean clustering with spatial information
WSEAS Transactions on Signal Processing
Spatiotemporal region enhancement and merging for unsupervized object segmentation
Journal on Image and Video Processing
Multiview segmentation and tracking of dynamic occluding layers
Image and Vision Computing
Surfaces with occlusions from layered stereo
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Interactive video layer decomposition and matting
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume part II
Automatic moving object segmentation with accurate boundaries
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Extraction of layers of similar motion through combinatorial techniques
EMMCVPR'05 Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Image-based rendering for scenes with reflections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
International Journal of Computer Vision
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We present an approach to the problem of representing images that contain multiple objects or surfaces. Rather than use an edge-based approach to represent the segmentation of a scene, we propose a multilayer estimation framework which uses support maps to represent the segmentation of the image into homogeneous chunks. This support-based approach can represent objects that are split into disjoint regions, or have surfaces that are transparently interleaved. Our framework is based on an extension of robust estimation methods that provide a theoretical basis for support-based estimation. We use a selection criteria derived from the Minimum Description Length principle to decide how many support maps to use in describing an image. Our method has been applied to a number of different domains, including the decomposition of range images into constituent objects, the segmentation of image sequences into homogeneous higher-order motion fields, and the separation of tracked motion features into distinct rigid-body motions.