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计算摄影：从Epsilon到编码成像Computational Photography: Epsilon to Coded Imaging |
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| 课程网址: | http://videolectures.net/etvc08_raskar_cpetci/ |
| 主讲教师: | Ramesh Raskar |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2008-12-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Computational photography combines plentiful computing, digital sensors, modern optics, actuators, and smart lights to escape the limitations of traditional cameras, enables novel imaging applications and simplifies many computer vision tasks. However, a majority of current Computational Photography methods involve taking multiple sequential photos by changing scene parameters and fusing the photos to create a richer representation. The goal of Coded Computational Photography is to modify the optics, illumination or sensors at the time of capture so that the scene properties are encoded in a single (or a few) photographs. We describe several applications of coding exposure, aperture, illumination and sensing and describe emerging techniques to recover scene parameters from coded photographs. |
| 关 键 词: | 计算摄影; 数字传感器; 编码 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-13：cwx |
| 阅读次数: | 2 |