Abstract
Model-based image coding technique combines image processing, computer vision and computer graphics techniques to achieve higher coding efficiency. Traditional model-based image coding techniques encode the motion in image sequence as changes of model parameters, thus very low bit rate could be achieved for video coding. In this paper we present a novel method to improve coding efficiency of face images. The key idea is to use spherical harmonic representation of illumination and a generic face geometric model to encode the variation of appearance produced by diffuse reflection. We show that this method improves coding efficiency. This method is complementary to other model-based image coding techniques.
| Original language | English (US) |
|---|---|
| State | Published - Jan 1 2002 |
| Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002 |
Other
| Other | International Conference on Image Processing (ICIP'02) |
|---|---|
| Country | United States |
| City | Rochester, NY |
| Period | 9/22/02 → 9/25/02 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
Fingerprint Dive into the research topics of 'Model-based face image coding using spherical harmonics'. Together they form a unique fingerprint.
Cite this
Wen, Z., Huang, T. S., & Liu, Z. (2002). Model-based face image coding using spherical harmonics. Paper presented at International Conference on Image Processing (ICIP'02), Rochester, NY, United States.