图 书 馆
基于布朗图像模型的最小似然图像特征与尺度检测Minimum Likelihood Image Feature and Scale Detection Based on the Brownian Image Model |
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| 课程网址: | http://videolectures.net/gpip06_pedersen_mlifs/ |
| 主讲教师: | Kim S. Pedersen |
| 开课单位: | 哥本哈根大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We present a novel approach to image feature and scale detection based on the fractional Brownian image model in which images are realisations of a Gaussian random process on the plane. Image features are points of interest usually sparsely distributed in images. We propose to detect such points and their intrinsic scale by detecting points in scale-space that locally minimises the likelihood under the model. |
| 关 键 词: | 布朗图像; 尺度检测; 高斯随机过程 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-15：cwx |
| 阅读次数: | 29 |