First-Order Modeling and Stability Analysis of Illusory Contours

Details First-Order Modeling and Stability Analysis of Illusory Contours First-Order Modeling and Stability Analysis of Illusory Contours

2005-10-19

arxiv.org/abs/cs/0510056v1

Computer Science

Computer Vision and Pattern Recognition

21 pages

Scientific paper

In visual cognition, illusions help elucidate certain intriguing latent perceptual functions of the human vision system, and their proper mathematical modeling and computational simulation are therefore deeply beneficial to both biological and computer vision. Inspired by existent prior works, the current paper proposes a first-order energy-based model for analyzing and simulating illusory contours. The lower complexity of the proposed model facilitates rigorous mathematical analysis on the detailed geometric structures of illusory contours. After being asymptotically approximated by classical active contours, the proposed model is then robustly computed using the celebrated level-set method of Osher and Sethian (J. Comput. Phys., 79:12-49, 1988) with a natural supervising scheme. Potential cognitive implications of the mathematical results are addressed, and generic computational examples are demonstrated and discussed.

Affiliated with

Also associated with

No associations

Rating

First-Order Modeling and Stability Analysis of Illusory Contours does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with First-Order Modeling and Stability Analysis of Illusory Contours, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and First-Order Modeling and Stability Analysis of Illusory Contours will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-475536