A Novel Geometry Image Coding

Authors:
Yunhui Shi;Wen Wen;Baocai Yin;Jijun Shi
Affiliations:
Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124
Venue:
AMT '09 Proceedings of the 5th International Conference on Active Media Technology
Year:
2009

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Abstract

Nowadays computer graphics over the Internet has attracted a lot of attentions; however transmitting 3D model takes a long time. Geometry image is a completely regular structure to remesh an arbitrary surface. It captures the geometry information of the mesh as an array of [x, y, z] values. In this paper, a novel framework of geometry image coding is proposed which utilized the image compression standard JPEG2000 to represent 3D model. To improve the quality of encoding the geometry image, a directional lifting wavelet transform-based image compression algorithm is utilized. Besides, we use an iterative algorithm in the parameterization phase to improve the quality of geometry image. According to the experiments, both objective and subjective performances of 3D model are enhanced, the photorealistic rendering is improved and the time of transmission is reduced.