T. Arbel and F.P. Ferrie. Entropy-based gaze planning. Image and Vision Computing, 19(11):779 -- 786, 2001. Home/Search Document Details and Download
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Active Surface Reconstruction from Optical Flow - Mitran (2001) (Correct)
....still images in a video stream provides a wealth of information in the form of spatio temporal change. The temporal integration of such velocity fields is essential for solving shape from motion [6, 16, 13, 42, 46, 54, 70] timeof collision [18] object tracking [51] object recognition [4], and figure ground separation problems. At first glance the problem of 3 D reconstruction from motion images seems trivial as it is intuitively sound to suggest that changes in intensity on an image plane are somewhat coupled with the projection of the apparent motion of the 3 D space ....
....from a set of 2 D intensity images ill posed. This begs the question, how does the 2 D human visual system successfully interact with the 3 D world with such consistency Many suggest that the answer lies in considering the human observer not as a passive viewer, but rather as an active observer [2, 4, 7, 14, 68]. By interacting with the environment, a human can quickly and robustly achieve sufficiently stable representations of the world for navigation. Although the human observer is active, it is wrong to assume complete freedom of motion exists in all six degrees of freedom under most conditions [18, ....
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Arbel, T. and F.P., Ferrie, Entropy-based Gaze Planning, IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, June 1999.
Efficient Entropy-Based Action Selection for.. - Porta, Terwijn, Kröse (2003) (Correct)
....more information from each image and, as already suggested in [3] the resulting localization system would converge in less iterations. Finally, another field closely related with that of ours is that of object recognition from images where active appearance based systems have been developed [1]. III. GENERAL FRAMEWORK In the following subsections we introduce the three basic elements of our localization system: the Markov localization model, the auxiliary particle filter, and the appearance based paradigm for localization. A. A Probabilistic Model for Robot Localization The Markov ....
T. Arbel and F. P. Ferrie. Entropy-based gaze planning. In Proceedings of the Second IEEE Workshop on Perception for Mobile Agents, in association with the 1999.
A Situated Model of Active Vision - De Croon Postma (Correct)
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T. Arbel and F.P. Ferrie. Entropy-based gaze planning. Image and Vision Computing, 19(11):779 -- 786, 2001.
Comparing Active Vision Models - De Croon Sprinkhuizen-Kuyper (Correct)
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T. Arbel and F.P. Ferrie. Entropy-based gaze planning. Image and Vision Computing, 19(11):779 -- 786, 2001.
Automated Placement of Cameras in a Floorplan to Satisfy.. - Erdem, Sclaroff (2003) (Correct)
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Tal Arbel and Frank P. Ferrie. Entropy-based gaze planning. Image and Vision Computing, 19(11):779-- 786, September 2001.
Automated Placement of Cameras in a Floorplan to Satisfy.. - Ugur Murat Erdem (2003) (Correct)
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Tal Arbel and Frank P. Ferrie. Entropy-based gaze planning. Image and Vision Computing, 19(11):779-- 786, September 2001.
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