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HAPTICS
2003
IEEE
14 years 1 months ago
How Well Can We Encode Spatial Layout from Sparse Kinesthetic Contact?
We investigated people’s ability to report the shape and scale of a spatial layout after sparse contact, without vision. We propose that the initial representation of sparsely c...
Roberta L. Klatzky, Susan J. Lederman
ICRA
2000
IEEE
84views Robotics» more  ICRA 2000»
14 years 6 days ago
Enhancing Randomized Motion Planners: Exploring with Haptic Hints
In this paper, we investigate methods for enabling a human operator and an automatic motion planner to cooperatively solve a motion planning query. Our work is motivated by our ex...
O. Burçhan Bayazit, Guang Song, Nancy M. Am...
ICPR
2002
IEEE
14 years 23 days ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
TIP
2008
108views more  TIP 2008»
13 years 7 months ago
Geometry-Based Distributed Scene Representation With Omnidirectional Vision Sensors
Abstract--This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to descr...
Ivana Tosic, Pascal Frossard
ICIP
2010
IEEE
13 years 5 months ago
Metaface learning for sparse representation based face recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Meng Yang, Lei Zhang, Jian Yang, David Zhang