A massively parallel keypoint detection and description(MP-KDD) algorithm for high-speed vision chip | |
SHI Cong ; YANG Jie ; LIU LiYuan ; WU NanJian ; WANG ZhiHua ; SHI Cong ; YANG Jie ; LIU LiYuan ; WU NanJian ; WANG ZhiHua | |
2016-03-30 ; 2016-03-30 | |
关键词 | vision chip massively parallel keypoint SIFT SURF TP391.41 |
其他题名 | A massively parallel keypoint detection and description(MP-KDD) algorithm for high-speed vision chip |
中文摘要 | This paper proposes a massively parallel keypoint detection and description(MP-KDD) algorithm for the vision chip with parallel array processors. The MP-KDD algorithm largely reduces the computational overhead by removing all floating-point and multiplication operations while preserving the currently popular SIFT and SURF algorithm essence. The MP-KDD algorithm can be directly and effectively mapped onto the pixel-parallel and row-parallel array processors of the vision chip. The vision chip architecture is also enhanced to realize direct memory access(DMA) and random access to array processors so that the MP-KDD algorithm can be executed more effectively. An FPGA-based vision chip prototype is implemented to test and evaluate our MP-KDD algorithm. Its image processing speed reaches 600–760 fps with high accuracy for complex vision applications, such as scene recognition.; This paper proposes a massively parallel keypoint detection and description(MP-KDD) algorithm for the vision chip with parallel array processors. The MP-KDD algorithm largely reduces the computational overhead by removing all floating-point and multiplication operations while preserving the currently popular SIFT and SURF algorithm essence. The MP-KDD algorithm can be directly and effectively mapped onto the pixel-parallel and row-parallel array processors of the vision chip. The vision chip architecture is also enhanced to realize direct memory access(DMA) and random access to array processors so that the MP-KDD algorithm can be executed more effectively. An FPGA-based vision chip prototype is implemented to test and evaluate our MP-KDD algorithm. Its image processing speed reaches 600–760 fps with high accuracy for complex vision applications, such as scene recognition. |
语种 | 英语 ; 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/146704] |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | SHI Cong,YANG Jie,LIU LiYuan,et al. A massively parallel keypoint detection and description(MP-KDD) algorithm for high-speed vision chip[J],2016, 2016. |
APA | SHI Cong.,YANG Jie.,LIU LiYuan.,WU NanJian.,WANG ZhiHua.,...&WANG ZhiHua.(2016).A massively parallel keypoint detection and description(MP-KDD) algorithm for high-speed vision chip.. |
MLA | SHI Cong,et al."A massively parallel keypoint detection and description(MP-KDD) algorithm for high-speed vision chip".(2016). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论