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» Constraint Based Methods for Biological Sequence Analysis
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ICPR
2008
IEEE
15 years 10 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
ACCV
2007
Springer
15 years 10 months ago
Texture-Independent Feature-Point Matching (TIFM) from Motion Coherence
Abstract. This paper proposes a novel and efficient feature-point matching algorithm for finding point correspondences between two uncalibrated images. The striking feature of th...
Ping Li, Dirk Farin, Rene Klein Gunnewiek, Peter H...
SIGGRAPH
1999
ACM
15 years 8 months ago
Physically Based Motion Transformation
We introduce a novel algorithm for transforming character animation sequences that preserves essential physical properties of the motion. By using the spacetime constraints dynami...
Zoran Popovic, Andrew P. Witkin
WACV
2005
IEEE
15 years 10 months ago
Joint Key-Frame Extraction and Object-Based Video Segmentation
In this paper, we propose a coherent framework for joint key-frame extraction and object-based video segmentation. Conventional key-frame extraction and object segmentation are us...
Xiaomu Song, Guoliang Fan
ICB
2009
Springer
412views Biometrics» more  ICB 2009»
15 years 11 months ago
Bayesian Face Recognition Based on Markov Random Field Modeling
In this paper, a Bayesian method for face recognition is proposed based on Markov Random Fields (MRF) modeling. Constraints on image features as well as contextual relationships be...
Rui Wang, Zhen Lei, Meng Ao, Stan Z. Li