| 发明名称 |
Image processing using random forest classifiers |
| 摘要 |
A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images. |
| 申请公布号 |
US8744172(B2) |
申请公布日期 |
2014.06.03 |
| 申请号 |
US201113160744 |
申请日期 |
2011.06.15 |
| 申请人 |
Siemens Aktiengesellschaft |
发明人 |
Tsymbal Alexey;Kelm Michael;Costa Maria Jimena;Zhou Shaohua Kevin;Comaniciu Dorin;Zheng Yefeng;Schwing Alexander |
| 分类号 |
G06K9/00 |
主分类号 |
G06K9/00 |
| 代理机构 |
|
代理人 |
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| 主权项 |
1. A method of performing image processing, the method comprising:
training a random forest RF classifier based on low-level features of training images and a high-level feature of the training images; using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another; and classifying an input image for the high-level feature using the RF classifier and the determined subset of training images.
|
| 地址 |
Munich DE |
