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» Learning Invariant Visual Shape Representations from Physics
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CVPR
2008
IEEE
15 years 11 months ago
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
MM
2005
ACM
169views Multimedia» more  MM 2005»
15 years 3 months ago
An ambient intelligence platform for physical play
This paper describes an ambient intelligent prototype known as socio-ec(h)o. socio-ec(h)o explores the design and implementation of a system for sensing and display, user modeling...
Ron Wakkary, Marek Hatala, Robb Lovell, Milena Dro...
101
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JCDL
2003
ACM
231views Education» more  JCDL 2003»
15 years 2 months ago
Acquisition, Representation, Query and Analysis of Spatial Data: A Demonstration 3D Digital Library
The increasing power of techniques to model complex geometry and extract meaning from 3D information create complex data that must be described, stored, and displayed to be useful...
Jeremy Rowe, Anshuman Razdan, Arleyn Simon
SLSFS
2005
Springer
15 years 3 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
AAAI
1997
14 years 11 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand