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» Sparse appearance based modeling for robot localization
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BMVC
2010
13 years 6 months ago
Additive Update Predictors in Active Appearance Models
The Active Appearance Model (AAM) provides an efficient method for localizing objects that vary in both shape and texture, and uses a linear regressor to predict updates to model ...
Philip A. Tresadern, Patrick Sauer, Timothy F. Coo...
CAIP
2009
Springer
252views Image Analysis» more  CAIP 2009»
14 years 3 months ago
Incorporating Shape Features in an Appearance-Based Object Detection System
Most object detection techniques discussed in the literature are based solely on texture-based features that capture the global or local appearance of an object. While results indi...
Gurman Gill, Martin Levine
CVPR
2008
IEEE
14 years 10 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
RAS
1998
150views more  RAS 1998»
13 years 8 months ago
Active Markov localization for mobile robots
Localization is the problem of determining the position of a mobile robot from sensor data. Most existing localization approaches are passive, i.e., they do not exploit the opport...
Dieter Fox, Wolfram Burgard, Sebastian Thrun
AIPS
2000
13 years 10 months ago
Vision-Servoed Localization and Behavior-Based Planning for an Autonomous Quadruped Legged Robot
Planning for real robots to act in dynamic and uncertain environments is a challenging problem. A complete model of the world is not viable and an integration of deliberation and ...
Manuela M. Veloso, Elly Winner, Scott Lenser, Jame...