图 书 馆
用一袋袋的关键点进行视觉分类Visual Categorization with Bags of Keypoints |
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| 课程网址: | http://videolectures.net/lmcv04_williams_vcbk/ |
| 主讲教师: | Chris Williams |
| 开课单位: | 爱丁堡大学 |
| 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 method for generic visual categorization: the problem of identifying the object content of natural images while generalizing across variations inherent to the object class. This bag of keypoints method is based on vector quantization of affine invariant descriptors of image patches. We propose and compare two alternative implementations using different classifiers: Naïve Bayes and SVM. The main advantages of the method are that it is simple, computationally efficient and intrinsically invariant. We present results for simultaneously classifying several semantic visual categories. These results clearly demonstrate that the method is robust to background clutter and produces good categorization accuracy even without exploiting geometric information. |
| 关 键 词: | 视觉分类方法; 分类器; 自然图像 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-05-14：lxf |
| 阅读次数: | 40 |