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CVPR
2009
IEEE
1385views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Distance Transform Templates for Object Detection and Pose Estimation
We propose a new approach for detecting low textured planar objects and estimating their 3D pose. Standard matching and pose estimation techniques often depend on texture and fe...
Stefan Holzer, Stefan Hinterstoisser, Slobodan Ili...
CVPR
2004
IEEE
16 years 8 months ago
Wide Baseline Feature Matching Using the Cross-Epipolar Ordering Constraint
? Robust feature matching across different views of the same scene taken by two cameras with wide baseline and arbitrary rotation is still an open problem. Matching based on appear...
Xiaoye Lu, Roberto Manduchi
CVPR
2005
IEEE
16 years 8 months ago
Matching with PROSAC - Progressive Sample Consensus
A new robust matching method is proposed. The Progressive Sample Consensus (PROSAC) algorithm exploits the linear ordering defined on the set of correspondences by a similarity fu...
Ondrej Chum, Jiri Matas
ICCV
2007
IEEE
16 years 8 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICIP
2008
IEEE
16 years 8 months ago
A master-slave approach for object detection and matching with fixed and mobile cameras
Typical object detection algorithms on mobile cameras suffer from the lack of a-priori knowledge on the object to be detected. The variability in the shape, pose, color distributi...
Alexandre Alahi, David Marimon, Michel Bierlaire, ...