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» Learning Models for Object Recognition
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158
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IROS
2007
IEEE
179views Robotics» more  IROS 2007»
15 years 9 months ago
Stereo-based 6D object localization for grasping with humanoid robot systems
Abstract— Robust vision-based grasping is still a hard problem for humanoid robot systems. When being restricted to using the camera system built-in into the robot’s head for o...
Pedram Azad, Tamim Asfour, Rüdiger Dillmann
187
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ITIIS
2010
343views more  ITIIS 2010»
14 years 10 months ago
Dynamic Manipulation of a Virtual Object in Marker-less AR system Based on Both Human Hands
This paper presents a novel approach to control the augmented reality (AR) objects robustly in a marker-less AR system by fingertip tracking and hand pattern recognition. It is kn...
Junchul Chun, Byungsung Lee
127
Voted
ICPR
2006
IEEE
16 years 4 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
168
Voted
NIPS
1994
15 years 4 months ago
Using a neural net to instantiate a deformable model
Deformable models are an attractive approach to recognizing nonrigid objects which have considerable within class variability. However, there are severe search problems associated...
Christopher K. I. Williams, Michael Revow, Geoffre...
ICRA
2000
IEEE
98views Robotics» more  ICRA 2000»
15 years 8 months ago
Active Measurement of Contact Sounds
We describe a novel system for robotic measurement of contact sounds. This system is well suited for acquiring impulse-response sound models. A brief explanation of the sound mode...
Joshua L. Richmond, Dinesh K. Pai