LTD: Local Ternary Descriptor for Image Matching
文献类型：会议论文
| 作者 | Gao Yongqiang; Qiao Yu; Li Zhifeng; Xu Chunjing |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE International Conference on Information and Automation, ICIA 2013 |
| 会议地点 | Yinchuan, China |
| 英文摘要 | Binary descriptors are receiving extensive research interests due to their storage and computation efficiency. A good binary descriptor should deliver sufficient information as well as be robust to image deformation and distortion. Recently, Calonder et al proposed Binary Robust Independent Elementary Features (BRIEF), which showed good performance in image matching. In this paper, we extend BRIEF to a Local Ternary Descriptor (LTD). Compared with BRIEF, LTDintroduces a threshold to describe the difference of two pixels into three values. Our ternary descriptor can deliver more discriminative information than BRIEF while being robust to image deformation. We examine the key-point matching performance of LTD on several public datasets. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4491]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Gao Yongqiang,Qiao Yu,Li Zhifeng,et al. LTD: Local Ternary Descriptor for Image Matching[C]. 见:2013 IEEE International Conference on Information and Automation, ICIA 2013. Yinchuan, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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