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» An Attentional Framework for Stereo Vision
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AGENTS
1999
Springer
15 years 2 months ago
Where to Look? Automating Attending Behaviors of Virtual Human Characters
This research proposes a computational framework for generating visual attending behavior in an embodied simulated human agent. Such behaviors directly control eye and head motion...
Sonu Chopra-Khullar, Norman I. Badler
BMVC
2010
14 years 7 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 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...
ECCV
1992
Springer
15 years 11 months ago
Determining Three-Dimensional Shape from Orientation and Spatial Frequency Disparities
Abstract. Binocular di erences in orientation and foreshortening are systematically related to surface slant and tilt and could potentially be exploited by biological and machine v...
David G. Jones, Jitendra Malik
ICCV
2007
IEEE
15 years 11 months ago
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...
Christopher Zach, Thomas Pock, Horst Bischof