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ICML
2005
IEEE
16 years 4 months ago
Object correspondence as a machine learning problem
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
Bernhard Schölkopf, Florian Steinke, Volker B...
ICPR
2008
IEEE
15 years 10 months ago
Object recognition using graph spectral invariants
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
Bai Xiao, Richard C. Wilson, Edwin R. Hancock
115
Voted
IROS
2007
IEEE
204views Robotics» more  IROS 2007»
15 years 9 months ago
Robot painter: from object to trajectory
– This paper presents visual perception discovered in high-level manipulator planning for a robot to reproduce the procedure involved in human painting. First, we propose a techn...
Miti Ruchanurucks, Shunsuke Kudoh, Koichi Ogawara,...
ROMAN
2007
IEEE
191views Robotics» more  ROMAN 2007»
15 years 9 months ago
Learning and Recognition of Object Manipulation Actions Using Linear and Nonlinear Dimensionality Reduction
— In this work, we perform an extensive statistical evaluation for learning and recognition of object manipulation actions. We concentrate on single arm/hand actions but study th...
Isabel Serrano Vicente, Danica Kragic, Jan-Olof Ek...
149
Voted
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld