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» Object Detection Using a Cascade of 3D Models
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IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 9 months ago
A spatio-temporal probabilistic model for multi-sensor object recognition
— This paper presents a general framework for multi-sensor object recognition through a discriminative probabilistic approach modelling spatial and temporal correlations. The alg...
Bertrand Douillard, Dieter Fox, Fabio T. Ramos
BMCBI
2007
122views more  BMCBI 2007»
15 years 3 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta
CVPR
2001
IEEE
16 years 5 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
CVPR
2003
IEEE
16 years 5 months ago
Object-Specific Figure-Ground Segregation
We consider the problem of segmenting an image into foreground and background, with foreground containing solely objects of interest known a priori. We propose an integration mode...
Stella X. Yu, Jianbo Shi
CGF
2007
157views more  CGF 2007»
15 years 2 months ago
Mesh Segmentation via Spectral Embedding and Contour Analysis
We propose a mesh segmentation algorithm via recursive bisection where at each step, a sub-mesh embedded in 3D is first spectrally projected into the plane and then a contour is ...
Rong Liu, Hao Zhang 0002