Scalable face synthesis algorithm

Yang Ran; Quan Liu; Qingmin Liao

doi:10.1117/12.441489

21 September 2001 Scalable face synthesis algorithm

Yang Ran, Quan Liu, Qingmin Liao

Proceedings Volume 4550, Image Extraction, Segmentation, and Recognition; (2001) https://doi.org/10.1117/12.441489
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

When enjoying videophone or distant learning, people want to see human face as real as possible even in very low bit rate. How to synthesis human face to deliver over network such as Internet and PSTN draws much attention. Conventional techniques based on low-level features cannot perform the desired operation. While model based method need much prior knowledge. The authors present a new algorithm for human face synthesis. It can give a virtual face based on human vision system for bit rate ranging from several kb/s to tens of KB/s. An Adaptive Face Image Filter(AFIF) is used to attenuate noise and preserve face edges as well as details. A facial region detection method detects those pixels that belong to a face. After that, with a novel facial texture interpolating method, the face is rendered in gray scale. Its key feature is a group of diffuse functions for interpolation. Then color is rendered to the whole face scalable.

Citation Download Citation

Yang Ran, Quan Liu, and Qingmin Liao "Scalable face synthesis algorithm", Proc. SPIE 4550, Image Extraction, Segmentation, and Recognition, (21 September 2001); https://doi.org/10.1117/12.441489

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