通信学报2019，Vol.40Issue(1)：15-23,9.DOI:10.11959/j.issn.1000-436x.2019021
仿视网膜采样的二进制描述子
Retina-imitation sampling based binary descriptor
摘要
Abstract
The existing binary descriptors,generated from random or uniform point pairs sampling,suffer from low robustness and high computation. A novel sampling method, named RBS (retina-imitation based sampling), was proposed, which combines different densities sampling, multi-scale smoothing and reception field overlapping to imitate the converting from light signal to vision of ganglion cells of human retina cells, and further selects most discriminative comparison pairs based on learning on training data. Finally,compact binary descriptor was generated based on comparisons between the neighbor mean instead of singe sampled point. The experimental results show the RBS-128 with 128 bit outperforms FREAK and BRSIK with 512 bit about 16.4％ and 5.3％ in precision on the dataset provided by Mikolajczyk.关键词
二进制描述子/仿视网膜采样/神经节细胞/比较点对Key words
binary descriptor/retina-imitation based sampling/ganglion cell/comparison pairs分类
信息技术与安全科学引用本文复制引用
袁庆升,靳国庆,张冬明,包秀国..仿视网膜采样的二进制描述子[J].通信学报,2019,40(1):15-23,9.基金项目
国家自然科学基金资助项目(No.61672495,No.61273247) （No.61672495,No.61273247）
国家重点研发专项基金资助项目(No.2016YFB0801203,No.2016YFB0801200) （No.2016YFB0801203,No.2016YFB0801200）
