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» Markov Random Field Modeling in Computer Vision
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AAAI
2004
13 years 10 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
ICVS
2003
Springer
14 years 2 months ago
VICs: A Modular Vision-Based HCI Framework
Many Vision-Based Human-Computer Interaction (VB-HCI) systems are based on the tracking of user actions. Examples include gazetracking, head-tracking, finger-tracking, and so fort...
Guangqi Ye, Jason J. Corso, Darius Burschka, Grego...
ECCV
2008
Springer
14 years 11 months ago
Simultaneous Visual Recognition of Manipulation Actions and Manipulated Objects
Abstract. The visual analysis of human manipulation actions is of interest for e.g. human-robot interaction applications where a robot learns how to perform a task by watching a hu...
Danica Kragic, David Martínez Mercado, Hedv...
IIHMSP
2006
IEEE
137views Multimedia» more  IIHMSP 2006»
14 years 3 months ago
Understanding Human Behavior Using a Language Modeling Approach
Visual analysis of human behavior has generated considerable interest in the field of computer vision because of the wide spectrum of potential applications. In this paper, we pre...
Yu-Ming Liang, Sheng-Wen Shih, Arthur Chun-Chieh S...
ICML
2006
IEEE
14 years 10 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor