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| Ajay Mishra
| Ajay Mishra
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| A Vision System to Extract "Simple" Objects in a Purely Bottom-Up Fashion
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| June 23
| June 23
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===A Vision System to Extract "Simple" Objects in a Purely Bottom-Up Fashion===
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Speaker: Ajay Mishra -- Date: June 16, 2011
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Human perception, being active, is inextricably linked to visual fixation. Despite the obvious importance of fixation, it has not become an integral part of computer vision/robotics algorithms so far. To incorporate fixation and attention in a computer vision framework, we have proposed a new segmentation framework that takes a fixation point (i.e a single point) inside a "simple" object as its input and outputs the region corresponding to that object. We have also designed a new attentional mechanism that utilizes the concept of neural border-ownership to automatically select the fixation points inside different "simple" objects in the scene. All of this together creates a fully automatic system that outputs only the regions corresponding to the "simple" objects without knowing the actual number or the size of the objects in the scene.
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Using these regions, instead of rectangular patches of fixed sizes, to analyze the content of a scene will result in better performance (in terms of accuracy and robustness to noise) for high-level vision algorithms such as object recognition, object manipulation, and action analysis. A variety of experimental results will conclude the talk.
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A live demo with a robot is a possibility.
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Also, to understand the role of fixation in perception, I recommend taking the psychophysical test available at http://www.umiacs.umd.edu/~mishraka/fixationExperiment.php