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» Probabilistic Object Tracking Using Multiple Features
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CLOR
2006
14 years 26 days ago
What and Where: 3D Object Recognition with Accurate Pose
Abstract. Many applications of 3D object recognition, such as augmented reality or robotic manipulation, require an accurate solution for the 3D pose of the recognized objects. Thi...
Iryna Gordon, David G. Lowe
CVPR
2008
IEEE
14 years 11 months ago
Latent topic random fields: Learning using a taxonomy of labels
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
Xuming He, Richard S. Zemel
ICPR
2006
IEEE
14 years 10 months ago
Efficient, Simultaneous Detection of Multiple Object Classes
At present, the object categorisation literature is still dominated by the use of individual class detectors. Detecting multiple classes then implies the subsequent application of...
Esther Koller-Meier, Luc J. Van Gool, Philipp Zehn...
VAST
2004
ACM
14 years 2 months ago
Image-Based Registration of 3D-Range Data Using Feature Surface Elements
Digitizing real-life objects via range scanners, stereo vision or tactile sensors usually requires the composition of multiple range images. In this paper we exploit intensity ima...
Gerhard H. Bendels, Patrick Degener, Roland Wahl, ...
DAGM
2008
Springer
13 years 11 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof