图 书 馆
在计算机视觉中学习Learning in Computer Vision |
|
| 课程网址: | http://videolectures.net/mlss08au_lucey_linv/ |
| 主讲教师: | Simon Lucey |
| 开课单位: | 卡内基梅隆大学 |
| 开课时间: | 2008-05-05 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This tutorial he will cover some of the core fundamentals in vision and demonstrate how they can be interpreted in terms of machine learning fundamentals. Unbeknownst to most researchers in the field of machine learning, the fundamentals of oabject registration and tracking such as optical flow, interest descriptors (e.g., SIFT), segmentation and correlation filters are inherently related to the learning topics of regression, regularization, graphical models, generative models and discriminative models. As a result many aspects of vision can be interpreted as applied forms of learning. From this discussion on fundamentals we shall also explore advanced topics in object registration and tracking such as non-rigid object alignment/ tracking and non-rigid structure from motion and how the application of machine learning is continuing to improve these technologies. |
| 关 键 词: | 机器学习; 兴趣描述符; 图形模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-22：chenxin |
| 阅读次数: | 103 |