Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, H. Yoo
{"title":"A 66fps 3 8mW nearest neighbor matching processor with hierarchical VQ algorithm for real-time object recognition","authors":"Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, H. Yoo","doi":"10.1109/ASSCC.2008.4708757","DOIUrl":null,"url":null,"abstract":"A 66 fps 38 mW nearest neighbor matching processor for real-time object recognition has been fabricated in 0.13 mum CMOS technology. It consists of RISC processing core, pre-fetch DMA, and two independent sets of logic merged memories. Based on hierarchical vector quantization (H-VQ) algorithm, implemented processor achieves 22.5X cycle time reduction in matching process without any accuracy loss in VQ operation. As a result, 66 fps frame rate is obtained for QVGA (320times240 pixels) video images with 5632-entry database.","PeriodicalId":143173,"journal":{"name":"2008 IEEE Asian Solid-State Circuits Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Asian Solid-State Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASSCC.2008.4708757","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
A 66 fps 38 mW nearest neighbor matching processor for real-time object recognition has been fabricated in 0.13 mum CMOS technology. It consists of RISC processing core, pre-fetch DMA, and two independent sets of logic merged memories. Based on hierarchical vector quantization (H-VQ) algorithm, implemented processor achieves 22.5X cycle time reduction in matching process without any accuracy loss in VQ operation. As a result, 66 fps frame rate is obtained for QVGA (320times240 pixels) video images with 5632-entry database.
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