计算机视觉图形模型Graphical Models for Computer Vision |
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课程网址: | http://videolectures.net/uai2012_felzenszwalb_computer_vision/ |
主讲教师: | Pedro Felzenszwalb |
开课单位: | 布朗大学 |
开课时间: | 2012-09-17 |
课程语种: | 英语 |
中文简介: | 图形模型为表达和解决各种推理问题提供了一个强大的框架。这种方法对计算机视觉产生了巨大的影响。在这篇演讲中,我将回顾一些发展,这些发展使得这种影响得以实现,重点是利用视觉问题结构的高效算法。我将讨论几个应用,包括图像恢复的低级视觉问题,分割的中级问题和基于模型的识别的高级问题。我还将讨论该领域目前面临的一些挑战。 |
课程简介: | Graphical models provide a powerful framework for expressing and solving a variety of inference problems. The approach has had an enormous impact in computer vision. In this talk I will review some of the developments that have enabled this impact, focusing on efficient algorithms that exploit the structure of vision problems. I will discuss several applications including the low-level vision problem of image restoration, the mid-level problem of segmentation and the high-level problem of model-based recognition. I will also discuss some of the current challenges in the area. |
关 键 词: | 图形模型; 计算机视觉; 图像恢复; 低级视觉 |
课程来源: | 视频讲座网 |
最后编审: | 2019-10-24:chenxin |
阅读次数: | 54 |