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基于fpga的人脸识别，包括硬件平台的搭建的详细过程，人脸识别算法的详细程序代码。-Fpga-based face recognition, including the hardware platform to build a detailed process of face recognition algorithm detailed code.
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眨眼检测，先用haar特征框定人脸，然后用camshift跟踪人脸，根据几何特征得到人眼的大概位置，然后根据直方图的变化检测眨眼-Blink detection, the first feature with the haar framed face, and then use camshift tracking human face, according to the geometric features are the approximate location of the human ey
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Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bay
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face detection based on fpga
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基于FPGA 的快速人脸检测参考资料 大家学习下-FPGA-based Fast face detection
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基于adoost的fpga人脸检测程序，代码采用了verilog编写，用的是xilinx的virtex5芯片-face detection based on adboost. verilog is used，and virtex5 it isimplementated on virtex5.
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基于FPGA的视频中的人脸检测算法，亲测可用-FPGA video face detection algorithm, pro-test available
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基于Adaboost的人脸检测算法研究及其FPGA实现-Adaboost based face detection algorithm on FPGA
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this is fpga BASED HAAR like feature for face detection
it s include algorithms and explanations of haar features
-this is fpga BASED HAAR like feature for face detection
it s include algorithms and explanations of haar features
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人脸检测与跟踪是一个重要而活跃的研究领域，它在视频监控、生物特征识别、视频编码等领域有着广泛的应用前景。该项目的目标是在FPGA板上实现实时系统来检测和跟踪人脸。人脸检测算法包括肤色分割和图像滤波。通过计算被检测区域的质心来确定人脸的位置。该算法的软件版本独立实现，并在matlab的静止图像上进行测试。虽然从MATLAB到Verilog的转换没有预期的那样顺利，实验结果证明了实时系统的准确性和有效性，甚至在不同的光线、面部姿态和肤色的条件下也是如此。所有硬件实现的计算都是以最小的计算量实时完成的
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