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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 楊佳玲 | |
| dc.contributor.author | En-Kai Lin | en |
| dc.contributor.author | 林恩楷 | zh_TW |
| dc.date.accessioned | 2021-06-08T06:18:26Z | - |
| dc.date.copyright | 2007-01-24 | |
| dc.date.issued | 2007 | |
| dc.date.submitted | 2007-01-18 | |
| dc.identifier.citation | [1] David J. Kriegman Ming-Hsuan Yang and Narendra Ahuja, “Detecting faces in images:A survey,” IEEE Trans. on Pattern Analysis and Machine Intelligence, pp. 34–58, Jan
2002. [2] Melanie Po-Leen Ooi, “Hardware implementation for face detection on xilinx virtex-ii fpga using the reversible component transformation colour space,” Proceedings of the Third IEEE International Workshop on Electronic Design, Test and Applications, 2005. [3] T. Theocharides and M. J. Irwin N. Vijaykrishnan, “A parallel architecture for hardware face detection,” . [4] Vijaykrishnan N. Irwin M.J. Wolf W. Theocharides T., Link G., “Embedded hardware face detection,” Proceedings. 17th International Conference on VLSI Design, pp. 133–138, 2004. [5] R. McCready, “Real-time face detection on a configurable hardware system,” Pro-ceedings of the Roadmap to Reconfigurable Computing, 10th International Workshop on Field-Programmable Logic and Applications, 2000. [6] Xiong Bing Yu Wei and Charayaphan Chareonsak, “Fpga implementation of adaboost algorithm for detection of face biometrics,” IEEE International Workshop on Biomedical Circuits and Systems, 2004. [7] J. Schlessman G. Aggarwal S. S. Bhattacharyya W. Wolf V. Kianzad, S. Saha and R. Chellappa, “An architectural level design methodology for embedded face detection,” Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, September 2005. [8] Paul Viola and Micheal Jones, “Robust real-time object detection,” Second Interna-tional Workshop on Statistical Learing and Computational Theories of Vision Modeling, Learning, Computing and Sampling, July 2001. [9] Yoshikazu Suematsu Yusuke Nara, Jianming Yang, “Face detection using the shape of face with both color and edge,” Proceedings of the 2004 IEEE, Conference on Cyber- netics and Intelligent Systems, December 2004. [10] Alex Waibel Jie Yang, Weier Lu, “Skin-color modeling and adaptation,” May 1997. [11] M.Kleinehagenbrock G. A. Fink J. Fritsch, S. Lang and G. Sagerer, “Improving adaptive skin color segmentation by incorporating results from face detection,” September 2002. [12] “Gnu gprof tool,” http://www.cs.utah.edu/dept/old/texinfo/as/gprof.html. [13] “Microblaze soft-core processor,” http://www.xilinx.com/xlnx/xebiz/designResources/ip_product_details.jsp?key=micro_blaze. [14] James Hwang and Jonathan Ballagh, “Building custom fir filters using system genera-tor,” . | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/25553 | - |
| dc.description.abstract | Face detection is the process of locating the position where faces are present in an image.Currently, software-based face detection is hard to support real-time video streams in an embedded processor. By hardware and software co-analysis, we design a hardware imple-mentation of face detection which satisfies embedded constraints. The experimental results of our hardware design show that the video streams provided by RGB camera can be exe-cuted in real-time and the cost of hardware resource is also relatively low. We also analyze our detection rate and false positive number under different threshold settings and lighting conditions. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T06:18:26Z (GMT). No. of bitstreams: 1 ntu-96-R93922107-1.pdf: 774695 bytes, checksum: 3c1131aa6eadf70e0358c53f2c8b2800 (MD5) Previous issue date: 2007 | en |
| dc.description.tableofcontents | Abstract i
1 Introduction 1 2 Related Work 5 3 Face Detection Algorithm 7 3.1 Skin-Color Filter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.2 Edge Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.3 Feature Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 4 Hardware Implementation of Face Detection 14 4.1 Hardware Design Platform . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 4.1.1 Virtex-4 ML402 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 4.1.2 Video I/O Daughter Card . . . . . . . . . . . . . . . . . . . . . . . . 15 4.1.3 LVDS RGB Camera . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 4.1.4 Hardware Platform Diagram . . . . . . . . . . . . . . . . . . . . . . . 16 4.2 Hardware and Software Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 17 4.3 Hardware Implementation of Skin-Color Filter . . . . . . . . . . . . . . . . . 18 4.4 Hardware Implementation of Edge Detection . . . . . . . . . . . . . . . . . . 18 4.5 Hardware Implementation of Feature Detection . . . . . . . . . . . . . . . . 19 4.6 Xilinx Design Flow . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 4.7 Pipelined Flow of Hardware . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 5 Experimental Results 23 6 Conclusion 27 | |
| dc.language.iso | en | |
| dc.title | 人臉偵測的硬體實作 | zh_TW |
| dc.title | A Hardware Implementation of Face Detection | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 95-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 周承復,逄愛君 | |
| dc.subject.keyword | 人臉偵測,硬體, | zh_TW |
| dc.subject.keyword | face detection,hardware, | en |
| dc.relation.page | 30 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2007-01-19 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| 顯示於系所單位： | 資訊工程學系 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-96-1.pdf 目前未授權公開取用 | 756.54 kB | Adobe PDF |
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