Title :
3D model database reconstruction based on texture feature points detection
Author :
Xi Zhou ; Lin Cao
Author_Institution :
Dept. of Telecommun. Eng., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
In this paper, a method of 3D face model database reconstruction is presented. The proposed method is based on the fact that 3D face model database is widely used in each 3D field, such as 3D face recognition, 3D animation and so on. However, most 3D face databases are built without dealing with data processing, so we can´t use them directly in each algorithm. This paper shows how to reconstruct a 3D face database to normalize it with same vertex and triangle mesh grid. The new 3D face database is normalized and the feature points can be achieved convenient.
Keywords :
face recognition; feature extraction; mesh generation; 3D animation; 3D face model database reconstruction; 3D face recognition; 3D field; texture feature points detection; triangle mesh grid; Databases; Face; Feature extraction; Image reconstruction; Shape; Solid modeling; Three-dimensional displays; 3D face datebase; feature points; normlize;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6745257