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» Generic Object Recognition with Boosting
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ICIP
2007
IEEE
14 years 1 months ago
Dual-Layer Visual Vocabulary Tree Hypotheses for Object Recognition
This paper introduces an efficient method to substantially increase the recognition performance of a vocabulary tree based recognition system. We propose to enhance the hypothesi...
Sandra Ober, Martin Winter, Clemens Arth, Horst Bi...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 1 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
CIARP
2007
Springer
14 years 1 months ago
Robust Color Contour Object Detection Invariant to Shadows
In this work a new robust color and contour based object detection method in images with varying shadows is presented. The method relies on a physics-based contour detector that em...
Jorge Scandaliaris, Michael Villamizar, Juan Andra...
ICRA
2010
IEEE
118views Robotics» more  ICRA 2010»
13 years 6 months ago
Tactile object class and internal state recognition for mobile manipulation
— Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. In this work, we present a tactile perception strategy that a...
Sachin Chitta, Matthew Piccoli, Jürgen Sturm
CVPR
2007
IEEE
14 years 9 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher