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» Image recognition using maximal cliques of interest points
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CVPR
2004
IEEE
15 years 1 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
ICPR
2000
IEEE
15 years 10 months ago
First Steps toward Automatic Location of Landmarks on X-Ray Images
We address the problem of locating some anatomical bone structures on lateral cranial X-Ray Images. These structures are landmarks used in orthodontic therapy. The main problem in...
Barbara Romaniuk, Marie-Josèphe Deshayes, M...
ICCV
2007
IEEE
15 years 11 months ago
Semi-supervised Discriminant Analysis
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
Deng Cai, Xiaofei He, Jiawei Han
ICPR
2008
IEEE
15 years 4 months ago
Qualitative analysis of spatio-temporal event detectors
Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely ...
Benedikt Kaiser, Gunther Heidemann
IBPRIA
2007
Springer
15 years 3 months ago
Summarizing Image/Surface Registration for 6DOF Robot/Camera Pose Estimation
Abstract. In recent years, 6 Degrees Of Freedom (DOF) Pose Estimation and 3D Mapping is becoming more important not only in the robotics community for applications such as robot na...
Elisabet Batlle, Carles Matabosch, Joaquim Salvi