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face detection
  • Classification:Graph program - Other Graph program
  • Development Tool:VC
  • Sise:40.0 KB
  • Upload time:2011/8/24 2:45:50
  • Uploader:emdadhossain
  • Download Statistics:
Description
VC++ for face detection


Toolbar.bmp

File list:
HMMDemo
......\res
......\...\HMMDemo.ico
HMMDemo.ico
......\...\HMMDemo.rc2
......\...\HMMDemoDoc.ico
HMMDemoDoc.ico
......\...\Toolbar.bmp
Toolbar.bmp
......\ContEHMM.cpp
......\ContEHMM.h
......\FaceBase.cpp
......\FaceBase.h
......\HMMDemo.cpp
......\HMMDemo.dsp
......\HMMDemo.h
......\HMMDemo.plg
......\HMMDemo.rc
......\HMMDemoDoc.cpp
......\HMMDemoDoc.h
......\HMMDemoView.cpp
......\HMMDemoView.h
......\HMMParams.cpp
......\HMMParams.h
......\ImageBaseView.cpp
......\ImageBaseView.h
......\InfoDialogs.cpp
......\InfoDialogs.h
......\MainFrm.cpp
......\MainFrm.h
......\MiscParams.cpp
......\MiscParams.h
......\multiprocdiv.h
......\resource.h
......\SamplingParams.cpp
......\SamplingParams.h
......\StdAfx.cpp
......\StdAfx.h
......\Threads.cpp
......\Threads.h
......\untitled_baseCFG.txt
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Related source code
[face recognition] - matlab code for face recognition
[FLD Based Face Recognition] - This package implements a well-known FLD-based face recognition method, which is called 'Fisherface' [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample script is included to showe their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run 'CreateDatabase' function to create 2D matrix of all training images. 4. Run 'FisherfaceCore' function to produce basis's of facespace. 5. Run 'Recognition' function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of 'face94' Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example 'work' path of your MATLAB root). Then follow dialog boxes, which will appear upon running 'example.m'.
[STM32f4 interface SPI using DMA] - This project describes how STM32F4 microcontroller transmits data over the SPI interface using DMA. development tools is MDK ARM v5.
[face recogization] - face recogization
[ANTINFACE M-file for antinface.fig] - % ANTINFACE M-file for antinface.fig % ANTINFACE, by itself, creates a new ANTINFACE or raises the existing % singleton*.
[face detection] - face detection
[Mult camera face tracker] - Mult camera face tracker using opencv2.3 camshift haarcascade
[Eigenfaces Face Recognition] - Face Recognition using eigenfaces
[Face Recognition using PCA for image...] - the script use to recognize face by static image that have size 48 x 64
[A High Resolution Grammatical Model ...] - A High Resolution Grammatical Model for Face Representation and Sketching
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