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  1. 00609338

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  2. Coding, Analysis, Interpretation, and Recognition of Facial Expressions
  3. 所属分类:Document

    • 发布日期:2017-05-02
    • 文件大小:649195
    • 提供者:ashok kumar
  1. 04762113

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  2. Facial Expression Recognition from Image Sequences Using Optimized Feature Selection
  3. 所属分类:Document

    • 发布日期:2017-04-24
    • 文件大小:293280
    • 提供者:ashok kumar
  1. FACE3D

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  2. Abstract. We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facial surface, invari- ant to isometric deformations, such
  3. 所属分类:Development Research

    • 发布日期:2015-06-26
    • 文件大小:434176
    • 提供者:arkan
  1. FACE3D-Series

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  2. Abstract—Recently, a 3D face recognition approach based on geometric invariant signatures, has been proposed. The key idea of the algorithm is a representation of the facial surface, invariant to isometric deformations, such as those result
  3. 所属分类:Development Research

    • 发布日期:2015-06-26
    • 文件大小:266240
    • 提供者:arkan
  1. ICA_face_program

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  2. 基于ICA算法实现的人脸特征识别和分离程序及其说明文档-ICA algorithm based on the facial feature recognition and separation program and its documentation
  3. 所属分类:software engineering

    • 发布日期:2017-04-08
    • 文件大小:4699
    • 提供者:niejing
  1. Sparse-Leaning

    1下载:
  2. 基于稀疏学习理论对人脸表情分析中灰度、局部二值模式、C}abor等不同面部特征的稀疏表达问题进行了研究。首先,对稀疏表达、K-S V D以及D-KSVD等稀疏学习算法进行了分析 接着,在JAFFF人脸表情数据库上对不同算法进行了表情识别实验。-Facial Expression Recognition Based on Sparse Leaning
  3. 所属分类:software engineering

    • 发布日期:2017-05-06
    • 文件大小:1510364
    • 提供者:耿大达
  1. [first_author]_2014_Digital-Signal-Processing

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  2. This study proposes a novel near infrared face recognition algorithm based on a combination of both local and global features. In this method local features are extracted from partitioned images by means of undecimated discrete wavelet transform
  3. 所属分类:Development Research

    • 发布日期:2017-05-06
    • 文件大小:1038594
    • 提供者:abdou
  1. 25292626

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  2. 为了实现复杂环境下的人脸特征有效表达,提出一种改进的梯度方向直方图(HOG)人脸识别方法.首先以人脸图像网格作为采样窗口并在其上提取 HOG特征;然后将所有网格 HOG特征向量进行组合,实现整个人脸特 征表达;最后采用最近邻分类器进行识别.另外,比较了该方法与Gabor小波和局部二值模式(LBP)2种著名的人脸 局部特征表示方法的优劣.实验结果表明,在调优的 HOG参数下,在具有光照和时间环境等复杂变化的FERET人 脸库中,较少维数的 HOG特征比LBP特征有更好的表现,而且 HO
  3. 所属分类:Project Design

    • 发布日期:2017-05-07
    • 文件大小:1274996
    • 提供者:wang
  1. report

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  2. facial and iris recognition
  3. 所属分类:Development Research

    • 发布日期:2017-04-29
    • 文件大小:103658
    • 提供者:embedded
  1. New-folder

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  2. sir i want the source code and document of facial feature extraction, facial classification and facial expression recognition.
  3. 所属分类:software engineering

    • 发布日期:2017-05-16
    • 文件大小:4039272
    • 提供者:akd
  1. first-review-report

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  2. This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
  3. 所属分类:Development Research

    • 发布日期:2017-04-30
    • 文件大小:176657
    • 提供者:Jashpreet
  1. sparse-representation-pdf

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  2. This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
  3. 所属分类:Development Research

    • 发布日期:2017-05-09
    • 文件大小:1664305
    • 提供者:Jashpreet
  1. occlusion-refer2

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  2. Face recognition [1], the least intrusive biometric technique in terms of acquisition, has been applied to a wide range of commercial and law enforcement applications. State-ofthe- art face recognition systems perform with high accuracy under
  3. 所属分类:Development Research

    • 发布日期:2017-05-13
    • 文件大小:3071704
    • 提供者:Jashpreet
  1. 207

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  2. Selection and Efficient Use of Local Features for Face and Facial Expression Recognition in a Cortical Architecture.
  3. 所属分类:Development Research

    • 发布日期:2017-04-30
    • 文件大小:466396
    • 提供者:alhmdany
  1. paper26

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  2. In this paper we propose a novel approach for indentityindependent 3D facial expression recognition. Our approach is based on shape analysis of local patches extracted 3D facial shape model.
  3. 所属分类:Document

    • 发布日期:2017-05-14
    • 文件大小:3584445
    • 提供者:Aouissaoui
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