Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Variational shape approximation
ACM SIGGRAPH 2004 Papers
Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Bilayer Segmentation of Live Video
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Cosegmentation of Image Pairs by Histogram Matching - Incorporating a Global Constraint into MRFs
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Graph Cut Based Multiple View Segmentation for 3D Reconstruction
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Image-Based Modeling by Joint Segmentation
International Journal of Computer Vision
Stereo Processing by Semiglobal Matching and Mutual Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Structuring Visual Words in 3D for Arbitrary-View Object Localization
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
GeoS: Geodesic Image Segmentation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Scene Segmentation Using the Wisdom of Crowds
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Video SnapCut: robust video object cutout using localized classifiers
ACM SIGGRAPH 2009 papers
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
Image and Vision Computing
Fusion Moves for Markov Random Field Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette Segmentation in Multiple Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Object Segmentation from Calibrated Images
CVMP '11 Proceedings of the 2011 Conference for Visual Media Production
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Object stereo -- Joint stereo matching and object segmentation
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Paper: Modeling by shortest data description
Automatica (Journal of IFAC)
iModel: interactive co-segmentation for object of interest 3d modeling
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part II
Depth synthesis and local warps for plausible image-based navigation
ACM Transactions on Graphics (TOG)
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We present an automatic approach to segment an object in calibrated images acquired from multiple viewpoints. Our system starts with a new piecewise planar layer-based stereo algorithm that estimates a dense depth map that consists of a set of 3D planar surfaces. The algorithm is formulated using an energy minimization framework that combines stereo and appearance cues, where for each surface, an appearance model is learnt using an unsupervised approach. By treating the planar surfaces as structural elements of the scene and reasoning about their visibility in multiple views, we segment the object in each image independently. Finally, these segmentations are refined by probabilistically fusing information across multiple views. We demonstrate that our approach can segment challenging objects with complex shapes and topologies, which may have thin structures and non-Lambertian surfaces. It can also handle scenarios where the object and background color distributions overlap significantly.