图 书 馆
基于方向统计和阴影形状的人脸图像分析Facial Image Analysis using Directional Statistics and Shape-from Shading |
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| 课程网址: | http://videolectures.net/wapa2010_hancock_fiad/ |
| 主讲教师: | Edwin Hancock |
| 开课单位: | 约克大学 |
| 开课时间: | 2010-09-20 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Although the recovery of facial shape using shape-from-shading is an appealing idea, it is frustrated by problems such as concave-convex ambiguities, variable albedo, self shadowing and non-Lambertian reflectance. As such the devil resides in the detail. In this talk I will show how these problems can be overcome by incorporating a statistical model for surface normal direction within the shape-from-shading process. The main contribution of the talk is to develop a representation of the distribution of surface normals using the equidistant azimuthal projection from cartography, which transforms a distribution of surface normal direction on a unit sphere to a distribution of points on a tangent plane. I will show how this model can be adapted to deal with shadowing by fitting the statistical model to image brightness data using robust statistics. I will also show to to adapt the process to deal with non-Lambertian reflectance, through fitting a reflectance model that can capture the behavour of both shiny and rough surfaces. Finally, I will show how the shape information delivered by the process can be used to perform face recognition and gender determination. This talk will provide a synopsis of recent work by Smith and Hancock (PAMI 07, IJCV09, IJCV 2010) and Wu, Smith and Hancock (IVC 2010) |
| 关 键 词: | 计算机科学; 计算机视觉; 脸部和手势分析 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-29：lxf |
| 阅读次数: | 151 |