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face-detection
- 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.
blinkdetect-src
- 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
TIMEFACEDETECTIONANDLIPFEATUREEXTRACTIONUSINGFPGA
- 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
ztj
- VHDL 状态机 FPGA编程设计源代码程序你面通通都有-VHDL State Machine Programming FPGA source code program you have them all face
pcayes
- face detection based on fpga
Face-Recgnition-on-FPGA
- 详细介绍了如何在FPGA上建立人脸识别系统，从硬件软件两方面做了说明，非常值得仔细阅读学习-Details how to build face recognition system on an FPGA, made from both hardware and software are described, well worth learning to read
singel-chip
- 基于51单片机的液晶万年历 二十一世纪最具代表性的计时产品就是电子万年历。从原有传统指针计时的方式发展成为人们更为熟悉的数字显示方式，直观明了，并增加了全自动日期，星期，闹钟及附属的显示功能，它更符合消费者的生活需求。相信随着相关技术的发展和推进，一定会得到更大的应用。-Abstract This article presents the AEGIS secure processor architecture, which enables new applications by
FPGA
- 基于FPGA 的快速人脸检测参考资料 大家学习下-FPGA-based Fast face detection
FaceDetection
- 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.
faceoreye
- 人脸人眼识别功能应用于fpga上可以，或者调试之用-Face the human eye recognition function can be used in fpga
Face_Detect
- 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
Adaboost_Facerecognition_FPGA
- 基于Adaboost的人脸检测算法研究及其FPGA实现-Adaboost based face detection algorithm on FPGA
AB2639964000
- 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
tnn7_code_201212141110
- 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
FPGA_hslogic_face
- FPGA代做，通过matlab实现PCA人脸识别算法，并计算识别率(n the FPGA generation, the PCA face recognition algorithm is realized by MATLAB and the recognition rate is calculated.)