Illumination Invariant Multi-pose Face Tracking

摘要：

A novel face tracking algorithm is proposed which is less insensitive to large face appearance variation caused by lighting and viewpoints. The proposed dynamic face appearance model includes an illumination invariant pose manifold to represent the pose nonlinearity and an object-specific incremental multi-pose face model. The pose manifold is built with the patch alignment algorithm, where the tensor based illumination reduction is used to define the local patch. Particularly, the probability of the face belonging to the pose manifold can be used for choosing the object-specific face model. The experimental results show the face tracking model can successfully track faces under unseen poses and changing illuminations.

作者: Wei Wei Yanning Zhang Zenggang Lin

作者单位: Shaanxi Key Laboratory of Speech & Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xian 710072, China

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 749-753

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）