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» Capturing Image Structure with Probabilistic Index Maps
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ICIP
2008
IEEE
14 years 9 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa
AMDO
2006
Springer
13 years 11 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
EDBT
2009
ACM
124views Database» more  EDBT 2009»
13 years 10 months ago
Processing probabilistic spatio-temporal range queries over moving objects with uncertainty
Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that...
Bruce S. E. Chung, Wang-Chien Lee, Arbee L. P. Che...
CVPR
2012
IEEE
11 years 10 months ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
ICIP
2003
IEEE
14 years 25 days ago
Texture analysis: an adaptive probabilistic approach
Two main issues arise when working in the area of texture segmentation: the need to describe the texture accurately by capturing its underlying structure, and the need to perform ...
Karen Brady, Ian Jermyn, Josiane Zerubia