Mirrored Non-Maximum Suppression for Accurate Object Part Localization
文献类型：会议论文
| 作者 | Fu LR(付连锐) ; Junge Zhang; Kaiqi Huang
|
| 出版日期 | 2015-11 |
| 会议日期 | 2015.11.03-2015.11.06 |
| 会议地点 | Kuala Lumpur, Malaysia |
| 关键词 | Non-maximum |
| 页码 | 51-55 |
| 英文摘要 | There has been significant progress in object part localization such as human pose estimation and facial landmark detection. In most of the previous methods, two phenomena are ignored. Firstly, they usually output a set of candidate pose hypotheses but the hypothesis with the highest score obtained by Non-Maximum Suppression (NMS) is not always the optimal result. Secondly, they can not get exactly bilaterally symmetric keypoints on the mirrored images even though the training data is always augmented with mirrored images. In fact, the intrinsic relationship between the original image and the mirrored one is helpful for object part localization. In this paper, we propose Mirrored Non-Maximum Suppression (Mirrored NMS) which can utilize mirrored detections to improve the accuracy of object part localization. Experimental results show that our method can improve the state-of-the-art accuracy by 1.3∼3.0% in PCP for human pose estimation and can produce more accurate results than averaging multiple hypotheses for facial landmark detection. |
| 会议录 | Proceeding of 3rd IAPR Asian Conference on Pattern Recognition
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11650]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Kaiqi Huang |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Fu LR,Junge Zhang,Kaiqi Huang. Mirrored Non-Maximum Suppression for Accurate Object Part Localization[C]. 见:. Kuala Lumpur, Malaysia. 2015.11.03-2015.11.06. |
入库方式： OAI收割
来源：自动化研究所
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