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136
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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 7 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
108
Voted
ECCV
1996
Springer
16 years 4 months ago
Uncalibrated Visual Tasks via Linear Interaction
In this paper, we propose an approach for the control and layering of space-time continuous visual tasks with an uncalibrated camera. The approach is based on the bidimensional ap...
Carlo Colombo, James L. Crowley
120
Voted
VMV
2003
173views Visualization» more  VMV 2003»
15 years 3 months ago
Improved Hardware-Accelerated Visual Hull Rendering
The visual hull is an efficient shape approximation for the purpose of reconstructing and visualizing dynamic objects. Recently, rapid progress in graphics hardware development h...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
DAGM
2001
Springer
15 years 7 months ago
A New Contour-Based Approach to Object Recognition for Assembly Line Robots
A complete processing chain for visual object recognition is described in this paper. The system automatically detects individual objects on an assembly line, identifies their typ...
Markus Suing, Lothar Hermes, Joachim M. Buhmann
AAAI
1993
15 years 3 months ago
Learning Object Models from Appearance
We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Hiroshi Murase, Shree K. Nayar