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» Object Detection Using Multi-local Feature Manifolds
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SMA
1995
ACM
176views Solid Modeling» more  SMA 1995»
14 years 13 days ago
Incremental algorithms for collision detection between solid models
: Fast and accurate collision detection between general solid models is a fundamental problem in solid modeling, robotics, animation and computer-simulated environments. Most of th...
Madhav K. Ponamgi, Dinesh Manocha, Ming C. Lin
IJCV
1998
105views more  IJCV 1998»
13 years 8 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
VIS
2009
IEEE
304views Visualization» more  VIS 2009»
14 years 10 months ago
GL4D: A GPU-based Architecture for Interactive 4D Visualization
This paper describes GL4D, an interactive system for visualizing 2-manifolds and 3-manifolds embedded in four Euclidean dimensions and illuminated by 4D light sources. It is a tetr...
Alan Chu, Chi-Wing Fu, Andrew J. Hanson, Pheng-...
CVPR
2009
IEEE
1390views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Stacks of Convolutional Restricted Boltzmann Machines for Shift-Invariant Feature Learning
In this paper we present a method for learning classspecific features for recognition. Recently a greedy layerwise procedure was proposed to initialize weights of deep belief ne...
Mohammad Norouzi (Simon Fraser University), Mani R...
ENC
2004
IEEE
14 years 19 days ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar