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» Multiple parametric motion model estimation and segmentation
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ECCV
2004
Springer
15 years 11 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
IJCV
2006
110views more  IJCV 2006»
14 years 9 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
ICCV
2005
IEEE
15 years 11 months ago
Integrated Spatial and Frequency Domain 2D Motion Segmentation and Estimation
A video containing multiple objects in rotational and translational motion is analyzed through a combination of spatial and frequency domain representations. It is argued that the...
Alexia Briassouli, Narendra Ahuja
DAGM
2010
Springer
14 years 9 months ago
Complex Motion Models for Simple Optical Flow Estimation
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...
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ECCV
2002
Springer
15 years 11 months ago
A Layered Motion Representation with Occlusion and Compact Spatial Support
We describe a 2.5D layered representation for visual motion analysis. The representation provides a global interpretation of image motion in terms of several spatially localized fo...
Allan D. Jepson, David J. Fleet, Michael J. Black