Title
Illusory Shapes via First-Order Phase Transition and Approximation
Abstract
We propose a new variational illusory shape (VIS) model via phase fields and phase transitions. It is inspired by the first-order variational illusory contour model proposed by Jung and Shen (J Visual Commun Image Represent 19:42---55, 2008). Under the new VIS model, illusory shapes are represented by phase values close to 1 while the rest by values close to 0. The 0---1 transition is achieved by an elliptic energy with a double-well potential, as in the theory of $$\\varGamma $$Γ-convergence. The VIS model is non-convex, with the zero field as its trivial global optimum. To seek visually meaningful local optima that can induce illusory shapes, an iterative algorithm is designed and its convergence behavior is closely studied. Several generic numerical examples confirm the versatility of the model and the algorithm.
Year
DOI
Venue
2015
10.1007/s10851-015-0580-1
Journal of Mathematical Imaging and Vision
Keywords
Field
DocType
Illusory shapes,Phase transition,Null hypothesis,Convergence
Convergence (routing),Computer vision,Phase transition,Iterative method,Local optimum,Global optimum,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
53
3
0924-9907
Citations 
PageRank 
References 
0
0.34
11
Authors
2
Name
Order
Citations
PageRank
Yoon Mo Jung1586.09
Jackie (Jianhong) Shen2172.92