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» Detection of Multiple Deformable Objects using PCA-SIFT
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ICPR
2000
IEEE
15 years 1 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
ICCV
2009
IEEE
16 years 2 months ago
Deformable Model Fitting with a Mixture of Local Experts
Local experts have been used to great effect for fitting deformable models to images. Typically, the best location in an image for the deformable model’s landmarks are found t...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ICCV
1999
IEEE
15 years 11 months ago
Object Recognition from Local Scale-Invariant Features
Proc. of the International Conference on Computer Vision, Corfu (Sept. 1999) An object recognition system has been developed that uses a new class of local image features. The fea...
David G. Lowe
ECCV
2010
Springer
15 years 2 months ago
Local Occlusion Detection Under Deformations Using Topological Invariants
Occlusions provide critical cues about the 3D structure of man-made and natural scenes. We present a mathematical framework and algorithm to detect and localize occlusions in image...
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ISVC
2005
Springer
15 years 3 months ago
Comparing Sphere-Tree Generators and Hierarchy Updates for Deformable Objects Collision Detection
Abstract. This paper presents a quantitative evaluation of the accuracy of different sphere-tree construction methods when they are used in deformable bodies. The methods evaluate...
M. Garcia, S. Bayona, Pablo Toharia, C. Mendoza