Knowledge Commons of Institute of Automation,CAS
Receptive Fields Selection for Binary Feature Description | |
Fan, Bin; Kong, Qingqun; Trzcinski, Tomasz; Wang, Zhiheng; Pan, Chunhong; Fua, Pascal | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
2014-06-01 | |
卷号 | 23期号:6;6页码:2583-2595 |
文章类型 | Article |
摘要 | Feature description for local image patch is widely used in computer vision. While the conventional way to design local descriptor is based on expert experience and knowledge, learning-based methods for designing local descriptor become more and more popular because of their good performance and data-driven property. This paper proposes a novel data-driven method for designing binary feature descriptor, which we call receptive fields descriptor (RFD). Technically, RFD is constructed by thresholding responses of a set of receptive fields, which are selected from a large number of candidates according to their distinctiveness and correlations in a greedy way. Using two different kinds of receptive fields (namely rectangular pooling area and Gaussian pooling area) for selection, we obtain two binary descriptors RFDR and RFDG accordingly. Image matching experiments on the well-known patch data set and Oxford data set demonstrate that RFD significantly outperforms the state-of-the-art binary descriptors, and is comparable with the best float-valued descriptors at a fraction of processing time. Finally, experiments on object recognition tasks confirm that both RFDR and RFDG successfully bridge the performance gap between binary descriptors and their floating-point competitors. |
关键词 | Local Invariant Descriptor Binary Descriptor Image Matching Local Receptive Field Object Recognition |
WOS标题词 | Science & Technology ; Technology |
关键词[WOS] | TEXTURE ; CLASSIFICATION ; PATTERNS ; KERNELS ; CODES |
收录类别 | SCI |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000336041500009 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40873 |
专题 | 复杂系统认知与决策实验室_听觉模型与认知计算 |
推荐引用方式 GB/T 7714 | Fan, Bin,Kong, Qingqun,Trzcinski, Tomasz,et al. Receptive Fields Selection for Binary Feature Description[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2014,23(6;6):2583-2595. |
APA | Fan, Bin,Kong, Qingqun,Trzcinski, Tomasz,Wang, Zhiheng,Pan, Chunhong,&Fua, Pascal.(2014).Receptive Fields Selection for Binary Feature Description.IEEE TRANSACTIONS ON IMAGE PROCESSING,23(6;6),2583-2595. |
MLA | Fan, Bin,et al."Receptive Fields Selection for Binary Feature Description".IEEE TRANSACTIONS ON IMAGE PROCESSING 23.6;6(2014):2583-2595. |
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