Photorealistic Geometry Image Coding Based on Directional Lifting Wavelet Transform

Authors:
Wen Wen;Baocai Yin;Yunhui Shi;Jijun Shi
Affiliations:
College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124;College of Computer Science and Technology, Beijing University of Technology, Beijing, China 100124
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

Citing 3
Cited 0

Texture mapping progressive meshes

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Geometry images

Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Adaptive Directional Lifting-Based Wavelet Transform for Image Coding

IEEE Transactions on Image Processing

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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. In this paper, a novel framework of geometry image coding is proposed which utilized the image compression standard to represent 3D model. The mesh data of 3D model is first converted into geometry image and normal map image, and then normal map image can be predicted by geometry image. Hence, only the geometry image and residual normal map image should be transmitted. Moreover, these images are compressed using directional lifting wavelet transform. 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. Most importantly, this proposed framework is more adapted to integrate into industry since it is based on improved JPEG2000 standard.