Estimating Optimal Parameters for MRF Stereo from a Single Image Pair
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-scale 3D scene flow from binocular stereo sequences
Computer Vision and Image Understanding
Particle Video: Long-Range Motion Estimation Using Point Trajectories
International Journal of Computer Vision
A Segmentation Based Variational Model for Accurate Optical Flow Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Automatic Segmentation of Non-rigid Objects in Image Sequences Using Spatiotemporal Information
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Moving gradients: a path-based method for plausible image interpolation
ACM SIGGRAPH 2009 papers
Comparison of accumulative computation with traditional optical flow
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Scale selection for anisotropic diffusion filter by Markov random field model
Pattern Recognition
Falling snow motion estimation based on a semi-transparent and particle trajectory model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ACM SIGGRAPH Asia 2010 papers
Perception-motivated interpolation of image sequences
ACM Transactions on Applied Perception (TAP)
Occlusion boundary detection using pseudo-depth
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Journal on Image and Video Processing
Robust 2D moving object segmentation and tracking in video sequences
ICOSSE'06 Proceedings of the 5th WSEAS international conference on System science and simulation in engineering
Improving sub-pixel correspondence through upsampling
Computer Vision and Image Understanding
Robust optic-flow estimation with bayesian inference of model and hyper-parameters
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Spatio-angular resolution tradeoffs in integral photography
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Motion Coherent Tracking Using Multi-label MRF Optimization
International Journal of Computer Vision
SEEDS: superpixels extracted via energy-driven sampling
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Depth synthesis and local warps for plausible image-based navigation
ACM Transactions on Graphics (TOG)
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
International Journal of Computer Vision
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In this paper, we propose a method for jointly computing optical flow and segmentating video while accounting for mixed pixels (matting). Our method is based on statistical modeling of an image pair using constraints on appearance and motion. Segments are viewed as overlapping regions with fractional (á) contributions. Bidirectional motion is estimated based on spatial coherence and similarity of segment colors. Our model is extended to video by chaining the pairwise models to produce a joint probability distribution to be maximized. To make the problem more tractable, we factorize the posterior distribution and iteratively minimize its parts. We demonstrate our method on frame interpolation.