DocumentCode
3696136
Title
An optimization-based mesh-generation method for image representation
Author
Seyedali Mostafavian;Michael D. Adams
Author_Institution
Dept. of Electrical and Computer Engineering, University of Victoria, BC, V8P 5C2, Canada
fYear
2015
Firstpage
234
Lastpage
239
Abstract
In earlier work, Tu and Adams proposed the ERDED method, an effective technique for generating triangle-mesh models of digital images through explicit representation of discontinuities. In this paper, we propose a modified version of the ERDED method that generates a triangle mesh which better approximates the original image using an optimization-based algorithm. The proposed method is shown to produce image approximations of higher quality than those obtained by the ERDED method, both in terms of squared error and subjective quality. Moreover, this improvement in quality comes at a relatively modest computational cost, with the proposed method typically taking only a few seconds of computation time.
Keywords
"Image edge detection","Wheels","Optimization","Computational modeling","Adaptation models","Lead","Analytical models"
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on
Electronic_ISBN
2154-5952
Type
conf
DOI
10.1109/PACRIM.2015.7334840
Filename
7334840
Link To Document