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» Learning to Recognize Objects
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177
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CVPR
2005
IEEE
16 years 8 months ago
Spatial Priors for Part-Based Recognition Using Statistical Models
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
197
Voted
CVPR
2005
IEEE
16 years 8 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
16 years 21 days ago
Bridging the Gap between Task Planning and Path Planning
— Autonomous service robots have to recognize and interpret their environment to be able to interact with it. This paper will focus on service tasks such as serving a glass of wa...
Franziska Zacharias, Christoph Borst, Gerd Hirzing...
DIAGRAMS
2004
Springer
16 years 2 days ago
An Architecture for Problem Solving with Diagrams
In problem solving a goal/subgoal is either solved by generating needed information from current information, or further decomposed into additional subgoals. In traditional problem...
B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, J...
VR
2000
IEEE
168views Virtual Reality» more  VR 2000»
15 years 11 months ago
The Perceptive Workbench: Toward Spontaneous and Natural Interaction in Semi-immersive Virtual Environments
The Perceptive Workbench enables a spontaneous, natural, and unimpeded interface between the physical and virtual worlds. It uses vision-based methods for interaction that elimina...
Bastian Leibe, Thad Starner, William Ribarsky, Zac...