文件名称:Hand-Gesture-Recognition
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Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
----------------------------------------------------------------
Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.-Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
----------------------------------------------------------------
Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
----------------------------------------------------------------
Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.-Hand Gesture Recognition
NOTES:
1) For the details of the algorithm investigate the following images:
-AlgorithmOverall.jpg
-MKRoDAlgorithm.jpg
2) The prototype is implemented on MATLAB 7.0 and revised in MATLAB 7.10.0
3) The backgrounds of input images have to be purely ‘black’ and the details of the content(palms, fingers) must be clear for accurate recognition of the ASL.
4) A reduced ASL dataset is used. The dataset contains the following ASL gestures: "b,c,h,i,o,l,y".
----------------------------------------------------------------
Use execHGR.m inside the Project folder in order to execute the program.
I hope you will enjoy it.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Hand Gesture Recognition\Project\appendimages.m
........................\.......\execHGR.m
........................\.......\findMax.m
........................\.......\formResults.m
........................\.......\hgr.m
........................\.......\Images\Database\12.jpg
........................\.......\......\........\15.jpg
........................\.......\......\........\2.jpg
........................\.......\......\........\25.jpg
........................\.......\......\........\3.jpg
........................\.......\......\........\8.jpg
........................\.......\......\........\9.jpg
........................\.......\......\Inputs\sample\a_caglar.jpg
........................\.......\......\......\......\b_sample.jpg
........................\.......\......\......\......\b_sample_green.jpg
........................\.......\......\......\......\c_caglar.JPG
........................\.......\......\......\......\c_sample.jpg
........................\.......\......\......\......\h_sample.jpg
........................\.......\......\......\......\i_sample.jpg
........................\.......\......\......\......\l_sample.jpg
........................\.......\......\......\......\o_sample.jpg
........................\.......\......\......\......\y_sample.jpg
........................\.......\initDB.m
........................\.......\isrgb1.m
........................\.......\match.m
........................\.......\sift.m
........................\.......\siftWin32.exe
........................\.......\theHGRDatabase.mat
........................\Readme.txt
........................\Project\Images\Inputs\sample
........................\.......\......\Database
........................\.......\......\Inputs
........................\.......\Images
........................\Project
Hand Gesture Recognition
........................\.......\execHGR.m
........................\.......\findMax.m
........................\.......\formResults.m
........................\.......\hgr.m
........................\.......\Images\Database\12.jpg
........................\.......\......\........\15.jpg
........................\.......\......\........\2.jpg
........................\.......\......\........\25.jpg
........................\.......\......\........\3.jpg
........................\.......\......\........\8.jpg
........................\.......\......\........\9.jpg
........................\.......\......\Inputs\sample\a_caglar.jpg
........................\.......\......\......\......\b_sample.jpg
........................\.......\......\......\......\b_sample_green.jpg
........................\.......\......\......\......\c_caglar.JPG
........................\.......\......\......\......\c_sample.jpg
........................\.......\......\......\......\h_sample.jpg
........................\.......\......\......\......\i_sample.jpg
........................\.......\......\......\......\l_sample.jpg
........................\.......\......\......\......\o_sample.jpg
........................\.......\......\......\......\y_sample.jpg
........................\.......\initDB.m
........................\.......\isrgb1.m
........................\.......\match.m
........................\.......\sift.m
........................\.......\siftWin32.exe
........................\.......\theHGRDatabase.mat
........................\Readme.txt
........................\Project\Images\Inputs\sample
........................\.......\......\Database
........................\.......\......\Inputs
........................\.......\Images
........................\Project
Hand Gesture Recognition