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CVPR
2001
IEEE
14 years 8 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
AROBOTS
2008
77views more  AROBOTS 2008»
13 years 6 months ago
Extending obstacle avoidance methods through multiple parameter-space transformations
Obstacle avoidance methods approach the problem of mobile robot autonomous navigation by steering the robot in real-time according to the most recent sensor readings, being suitab...
Jose-Luis Blanco, Javier Gonzalez, Juan-Antonio Fe...
AMDO
2000
Springer
13 years 9 months ago
Matching a Human Walking Sequence with a VRML Synthetic Model
- In this paper we present a specific matching technique based on basic motor patterns between two image sequences taken from different view points and a VRML synthetic human model...
Jose Maria Buades Rubio, Ramon Mas, Francisco J. P...