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» Robust Algorithms for Object Localization
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CVPR
2004
IEEE
14 years 10 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
14 years 2 months ago
Real-time tracking and pose estimation for industrial objects using geometric features
— This paper presents a fast tracking algorithm capable of estimating the complete pose (6DOF) of an industrial object by using its circular-shape features. Since the algorithm i...
Youngrock Yoon, Guilherme N. DeSouza, Avinash C. K...
CIKM
2009
Springer
14 years 3 months ago
LoOP: local outlier probabilities
Many outlier detection methods do not merely provide the decision for a single data object being or not being an outlier but give also an outlier score or “outlier factor” sig...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
ACIVS
2007
Springer
14 years 3 months ago
Joint Tracking and Segmentation of Objects Using Graph Cuts
This paper presents a new method to both track and segment objects in videos. It includes predictions and observations inside an energy function that is minimized with graph cuts. ...
Aurélie Bugeau, Patrick Pérez
ISIPTA
1999
IEEE
103views Mathematics» more  ISIPTA 1999»
14 years 1 months ago
A Review of Propagation Algorithms for Imprecise Probabilities
This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
Andrés Cano, Serafín Moral