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计算摄影的有效回归：从色彩管理到全方位超分辨率Efficient Regression for Computational Photography: from Color Management to Omnidirectional Superresolution |
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| 课程网址: | http://videolectures.net/nipsworkshops2011_gupta_omnidirectional/ |
| 主讲教师: | Maya Gupta |
| 开课单位: | 华盛顿大学 |
| 开课时间: | 2012-01-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Many computational photography applications can be framed as low-dimensional regression problems that require fast evaluation of test samples for rendering. In such cases, storing samples on a grid or lattice that can be quickly interpolated is often a practical approach. We show how to optimally solve for such a lattice given non-lattice data points. The resulting lattice regression is fast and accurate. We demonstrate its usefulness for two applications: color management, and superresolution of omnidirectional images. |
| 关 键 词: | 低维回归; 非晶格数据点; 样本 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 31 |