Title :
An improved content-adaptive mesh-generation method for image representation
Author :
Adams, Michael D.
Author_Institution :
Dept. of Elec. & Comp. Eng., Univ. of Victoria, Victoria, BC, Canada
Abstract :
A new content-adaptive mesh-generation method for image representation, based on the greedy point-removal scheme of Demaret and Iske, is proposed. The proposed method is shown to be capable of producing meshes of higher quality than those generated by the scheme of Demaret and Iske, while requiring substantially less computation and memory. Furthermore, with the proposed method, one can easily tradeoff between mesh quality and computational/memory complexity as needed. Since a mesh-generation scheme proposed by Yang et al. is a key component of the proposed method, some factors affecting the performance of this scheme are also explored.
Keywords :
computational complexity; greedy algorithms; image representation; mesh generation; computational complexity; content-adaptive mesh-generation; greedy point-removal scheme; image representation; memory complexity; mesh quality; Approximation methods; Complexity theory; Ground penetrating radar; Memory management; Mesh generation; PSNR; Smoothing methods; Image representations; error diffusion; greedy point removal; mesh generation; triangle meshes;
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2010.5650466