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  1. facedetect

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  2. The OpenCV Library Brief introduction Getting started Creating a face detector How it s done OpenCV implementation Using a face detector Example code, step-by-step
  3. 所属分类:Project Design

    • 发布日期:2017-04-02
    • 文件大小:816486
    • 提供者:humanbeing
  1. Haartraining_for_pedestrian

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  2. this document explains the process of training a pedestrian detector using Viola and Jones’ cascaded classifier approach. it was originally
  3. 所属分类:Project Design

    • 发布日期:2017-04-03
    • 文件大小:131998
    • 提供者:lordthanatos
  1. imag_improve_rgb

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  2. This a two stage method in which at first image RGB compensated and then converted to YCbCr to normalise overall illumination of image.Its cascaded implementation of section 2.A of paper "A FAST SKIN REGION DETECTOR" by Phil Chen, Dr.Christos Greecos
  3. 所属分类:software engineering

    • 发布日期:2017-03-24
    • 文件大小:2008
    • 提供者:王信傑
  1. facePeyes_detection

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  2. 非常好用的人脸检测器,针对正面人脸检测和眼睛区域检测。检测效率高,检测时间在200ms左右。-Very easy to use face detector for frontal face detection and eye area detection. High detection efficiency, detection time is about 200ms.
  3. 所属分类:software engineering

    • 发布日期:2017-11-22
    • 文件大小:13777869
    • 提供者:梁肖
  1. Gabor

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  2. gabor detector for image processing and face recognition
  3. 所属分类:IT Hero

    • 发布日期:2017-04-11
    • 文件大小:554
    • 提供者:maklas
  1. Face-detect

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  2. This source code is for face detector. Once a face is detected, a circle will be used to detect your face. more than one face can be detected with this source code.
  3. 所属分类:Software Testing

    • 发布日期:2017-03-29
    • 文件大小:11513
    • 提供者:Lei
  1. thesis-masters-bilesch--2

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  2. We describe the design and construction of a component based face detector for gray scale images. We will show that including parts of the face into the negative training sets of the component classiˉers leads to improved system performance.
  3. 所属分类:Development Research

    • 发布日期:2017-05-03
    • 文件大小:570944
    • 提供者:alhmdany
  1. Face-Detector-Training

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  2. 由一个3D变形人脸模型取自动生成适应的训练样本。由统计视角,tailored训练数据保证了所有的数据变化且由任意的人脸属性丰富训练样本,例如,年龄或体重。更进一步,它可能自动适应到环境约束,例如,来自于监控摄像机的照明或视角约束。我们使用裁剪的(tailor)图象训练一个新的Viola Jones的adaboost 目标检测框架的多核实现。这个新的实现不仅快速的,而且多特征通道的使用成为可能,例如,在训练期间的颜色特征。在我们实验中,我们训练7个依赖视角的人脸检测子并在Face Detectio
  3. 所属分类:Project Design

    • 发布日期:2017-05-07
    • 文件大小:1201664
    • 提供者:郭继东
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