199
edits
Changes
no edit summary
| June 16
| June 16
| Ajay Mishra
| Ajay Mishra
|
| A Vision System to Extract "Simple" Objects in a Purely Bottom-Up Fashion
|-
|-
| June 23
| June 23
===A Vision System to Extract "Simple" Objects in a Purely Bottom-Up Fashion===
Speaker: Ajay Mishra -- Date: June 16, 2011
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.
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.
A live demo with a robot is a possibility.
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