{"title":"一个0.79mm/sup ~/ 29mW实时人脸检测核心","authors":"Y. Hori, M. Kusaka, T. Kuroda","doi":"10.1109/VLSIC.2006.1705354","DOIUrl":null,"url":null,"abstract":"A 0.79mm2 29mW real-time face detection core is fabricated in a 0.13mum CMOS technology. It consists of 75k gate logic, 58kbit SRAM, and the ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. The core can detect 8 faces per frame at 30 fps. Face detection accuracy is 92%","PeriodicalId":366835,"journal":{"name":"2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A 0.79mm/sup ~/ 29mW Real-Time Face Detection Core\",\"authors\":\"Y. Hori, M. Kusaka, T. Kuroda\",\"doi\":\"10.1109/VLSIC.2006.1705354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A 0.79mm2 29mW real-time face detection core is fabricated in a 0.13mum CMOS technology. It consists of 75k gate logic, 58kbit SRAM, and the ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. The core can detect 8 faces per frame at 30 fps. Face detection accuracy is 92%\",\"PeriodicalId\":366835,\"journal\":{\"name\":\"2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers.\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIC.2006.1705354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIC.2006.1705354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
采用0.13 μ m CMOS技术制作了0.79mm2 29mW实时人脸检测核心。它由75k门逻辑、58kbit SRAM和ARM AMBA总线接口组成。在算法和硬件设计上进行了全面优化,提高了性能,降低了面积和功耗。核心可以在每帧30帧的速度下检测8个人脸。人脸检测准确率为92%
A 0.79mm/sup ~/ 29mW Real-Time Face Detection Core
A 0.79mm2 29mW real-time face detection core is fabricated in a 0.13mum CMOS technology. It consists of 75k gate logic, 58kbit SRAM, and the ARM AMBA bus interface. Comprehensive optimization in both algorithm and hardware design improves performance and reduces area and power dissipation. The core can detect 8 faces per frame at 30 fps. Face detection accuracy is 92%