Image approximation by minimization of a geometric distance applied to a 3D finite elements based model

Author

Lechat, Patrick ; Sanson, Henri ; Labelle, Lilian

Author_Institution

CCETT Labs., CNET, Sevigne, France

Volume

2

fYear

1997

fDate

26-29 Oct 1997

Firstpage

724

Abstract

We propose a method for image coding based on an adaptive non-uniform sampling scheme. The aim is to optimize a 3D mesh-based model such as those involved in finite elements method. To this end, a geometrical distance has been defined, measuring the error between the model and the original image, and a gradient algorithm has been derived to obtain an accurate model deformation. The corresponding 2D rendering lends to an efficient image representation: salient features such as edges are preserved, offering a good subjective quality

Keywords

adaptive signal processing; approximation theory; finite element analysis; image coding; image representation; image sampling; minimisation; rendering (computer graphics); 2D rendering; 3D finite elements based model; 3D mesh-based model; accurate model deformation; adaptive nonuniform sampling; finite elements method; geometric distance minimization; gradient algorithm; image approximation; image coding; image representation; subjective quality; Deformable models; Discrete cosine transforms; Finite element methods; Image coding; Image representation; Image sampling; Laboratories; Minimization methods; Optimization methods; Rendering (computer graphics); Solid modeling; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.638598

Filename

638598