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» Deriving Intrinsic Images from Image Sequences
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CAIP
2009
Springer
110views Image Analysis» more  CAIP 2009»
15 years 11 months ago
Optic Flow Using Multi-scale Anchor Points
We introduce a new method to determine the flow field of an image sequence using multi-scale anchor points. These anchor points manifest themselves in the scale-space representat...
Pieter van Dorst, Bart Janssen, Luc Florack, Bart ...
HLK
2003
IEEE
15 years 11 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson
ICCV
1999
IEEE
16 years 8 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
ICCV
2001
IEEE
16 years 8 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
PCM
2007
Springer
109views Multimedia» more  PCM 2007»
16 years 15 days ago
Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval
Relevance feedback is an important mechanism for narrowing the semantic gap in content-based image retrieval and the process involves the user labeling positive and negative images...
Jian Guan, Guoping Qiu