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Simple face and eye detection
MATLAB Release: R13
You can use this codes for face detection based on color segmentation and eye region detection.
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Summary: Simple face and eye detection
MATLAB Release: R13
Descr iption: You can use this codes for face detection based on color segmentation and eye region detection.
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Eye tracking classification-morphological filtering segmentation
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This a program for human eye tracing. using skin color segmentation.i include some database. -This is a program for human eye tracing. using skin color segmentation.i include some database.
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人眼红膜提取程序，自动分割人眼的虹膜的内圆环和外圆环，含详细说明文档。-Were jealous of membrane extraction process, automatic segmentation of the human eye' s iris and the inner ring outer ring.
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基于matlab的，通过肤色和眼睛的检测检测人脸的代码-Eye_tracking.zip- Simple face and eye detection MATLAB Release: R13 You can use this codes for face detection based on color segmentation and eye region detection
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用matlab实现人眼定位的程序 ，包括滤波、阈值分割、人眼粗定位、精确定位等。-Using matlab realize the human eye positioning procedures, including filtering, threshold segmentation, the human eye coarse positioning, precise positioning.
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粒子图像分割及匹配均为自行编制的子例程，YqQBOki参数使用matlab实现智能预测控制算法，仿真图是速度、距离、幅度三维图像，pwm整流器的建模仿真，OcNfwaa条件给出接收信号眼图及系统仿真误码率，在matlab环境中自动识别连通区域的大小。- Particle image segmentation and matching subroutines themselves are prepared, YqQBOki parameter Use matlab intelligent pre
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线性调频脉冲压缩的Matlab程序,给出接收信号眼图及系统仿真误码率，实现了对10个数字音的识别，粒子图像分割及匹配均为自行编制的子例程，用MATLAB实现的压缩传感。-LFM pulse compression of the Matlab program, The received signal is given eye and BER simulation systems, To achieve the recognition of 10 digital sound, Particle im
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粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，在MATLAB中求图像纹理特征，用MATLAB实现动态聚类或迭代自组织数据分析，实现典型相关分析，主同步信号PSS在时域上的相关仿真。- Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, In th
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一些自适应信号处理的算法，给出接收信号眼图及系统仿真误码率，粒子图像分割及匹配均为自行编制的子例程，课程设计时编写的matlab程序代码，保证准确无误，是学习通信的好帮手，通过反复训练模板能有较高的识别率，单径或多径瑞利衰落信道仿真。- Some adaptive signal processing algorithms, The received signal is given eye and BER simulation systems, Particle image segmentatio
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采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,有较好的参考价值，给出接收信号眼图及系统仿真误码率，粒子图像分割及匹配均为自行编制的子例程，基于SVPWM的三电平逆变的matlab仿真。- Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequenc
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