Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Learning a Classification Model for Segmentation
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ACM SIGGRAPH 2004 Papers
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Keyframe-based tracking for rotoscoping and animation
ACM SIGGRAPH 2004 Papers
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH 2005 Papers
Efficient Belief Propagation for Early Vision
International Journal of Computer Vision
Boundary matting for view synthesis
Computer Vision and Image Understanding
Probabilistic Fusion of Stereo with Color and Contrast for Bi-Layer Segmentation
International Journal of Computer Vision
Video SnapCut: robust video object cutout using localized classifiers
ACM SIGGRAPH 2009 papers
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM SIGGRAPH ASIA 2009 Courses
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
ACM SIGGRAPH Asia 2010 papers
A comparative study of image retargeting
ACM SIGGRAPH Asia 2010 papers
User-friendly interactive image segmentation through unified combinatorial user inputs
IEEE Transactions on Image Processing
BRIEF: binary robust independent elementary features
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
ORB: An efficient alternative to SIFT or SURF
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Simultaneous multi-body stereo and segmentation
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Key-segments for video object segmentation
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
StereoCut: Consistent interactive object selection in stereo image pairs
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
PatchMatch-Based Content Completion of Stereo Image Pairs
3DIMPVT '12 Proceedings of the 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission
Depth Mapping for Stereoscopic Videos
International Journal of Computer Vision
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This study concentrates on user assisted disparity remapping for stereo image footage, i.e. the disparity of an object of interest is altered while leaving the remaining scene unattended. This application is useful in the sense that it provides a method for emphasizing/de-emphasizing an object on the scene by adjusting its depth with respect to the camera. The proposed technique can also be used as a post-processing step for retargeting stereoscopic footage on different display sizes and resolutions. The proposed technique involves an MRF-based energy minimization step for interactive stereo image segmentation, for which user assistance on only one of the stereo pairs is required for determining the location of stereo object pair. A key contribution of the proposed study is elimination of dense disparity estimation step from the pipeline. This step is realized through a sparse feature matching technique between the stereo pairs. Moreover, by the help of the proposed technique, novel disparity adjusted views are synthesized using the produced stereo object segments and background information for the images. Qualitative and quantitative evaluation of the generated segments and the disparity adjusted images prove the functionality and superiority of the proposed technique.