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Face detection face-recognition code

vankinger
2013-11-24 01:36:53
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WindowsWindows CPlusPlus, C-C++C++

Description

Based on face detection, face recognition source code, and related open source libraries. Mainly used for face detection, location, identification and detection output, greatly in pattern recognition purposes, does not require a separate install OpenCV library, have to be included directly.
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baishengmei
2014-12-25

本代码是完成的人脸识别功能。对于学习非常有用。

ramanahalli
2016-03-26

gui is good.best guii have ever seen.....but there is long process to download anything

EmmanuelM
2016-06-28

great

jepsy
2016-07-22

simple but effective code

haxkalibrr
2016-08-21

Optimal code for its simplicity. Nice.

freddyster
2016-10-26

verry use

huda22
2016-12-14

face recognition based on random forest

huda22
2016-12-14

There are mainly two approaches: geometric feature-based methods and appearance-based methods. The geometric facial features present the shape and locations of facial components (including the mouth, eyes, brows, and nose)

huda22
2016-12-14

There are mainly two approaches: geometric feature-based methods and appearance-based methods. The geometric facial features present the shape and locations of facial components (including the mouth, eyes, brows, and nose)

huda22
2016-12-14

There are mainly two approaches: geometric feature-based methods and appearance-based methods. The geometric facial features present the shape and locations of facial components (including the mouth, eyes, brows, and nose) The appearance-based approaches [5, 6] utilize image filters; either on the whole face to construct global features, or several particular face-regions to construct local features, in order to extract the appearance changes in the face image. The performance of the appearance-based methods is excellent in a constrained environment but their performance degrades in environmental variation [7]. Appearance-based methods have been heavily employed in this domain with great success. Popular approaches are Gabor wavelets [8], Local Binary Patterns (LBP) operator [9, 10], Local phase quantization (LPQ) [11], and subspace learning such as, Eigen faces [12], Principal Component Analysis (PCA) [12], Linear Discriminant Analysis (LDA) [13], and etc Gabor wavelets transformation is a powerful joint time-frequency tool for image analysis based on Gabor filters [38]. On account of their strong similarity to perception mechanism of the human visual system [27] and their capability of providing multiresolution/multi-orientation representations [28, 62] encompassing a large amount of meaningful salient visual features for FR, Gabor wavelets have been used for years in numerous feature extraction algorithms [103].

SMILEYs
2017-02-26

good

zy512
2017-03-08

不错的资源,学习一下,谢谢分享【需要的朋友可以看我用户名联系我】

Akash009
2017-04-01

nice and effective

rab343
2017-05-05

nice

valarmathy
2017-08-21

good

Flaykie
2017-09-30

Nice

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Face detection face-recognition code (27.73 kB)

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