spectral_saliency_matlab
所属分类:matlab编程
开发工具:matlab
文件大小:213KB
下载次数:2
上传日期:2015-06-16 10:34:24
上 传 者:
alanyx
说明: spectral saliance matlab matlab和C混编
(spectral saliance matlab matlab and C mixed)
文件列表:
benchmark_gpu_convolution.m (6148, 2014-01-04)
changelog.txt (1434, 2014-01-04)
example-images\psychological\popout_whiteInBlack.png (9028, 2014-01-04)
example-images\psychological\popout_camouflage.png (34989, 2014-01-04)
example-images\psychological\popout_yellowInBlue.png (9454, 2014-01-04)
example-images\psychological\popout_redInGreen.png (9530, 2014-01-04)
example-images\psychological\orientation_popout.png (13746, 2014-01-04)
example-images\psychological\popout_local.png (15291, 2014-01-04)
example-images\golden_retriever.jpg (33125, 2014-01-04)
example.m (4364, 2014-01-04)
get_additional_files.m (3055, 2014-01-04)
imconvert.m (8482, 2014-01-04)
process_folder.m (4066, 2014-01-04)
qdct_impl\dct_48_64.cpp (11519, 2014-01-04)
qdct_impl\dct_type3_64.cpp (31294, 2014-01-04)
qdct_impl\dct_type2_64.cpp (31445, 2014-01-04)
qdct_impl\hamilton_product.hpp (11227, 2014-01-04)
qdct_impl\dct_type3_48.cpp (19945, 2014-01-04)
qdct_impl\signum.hpp (6700, 2014-01-04)
qdct_impl\build.m (1296, 2014-01-04)
qdct_impl\qdct_saliency_48_64_nofilter.cpp (7345, 2014-01-04)
qdct_impl\hamilton_product.cpp (5250, 2014-01-04)
qdct_impl\dct_48_64.hpp (2946, 2014-01-04)
qdct_impl\dct_type2.hpp (3450, 2014-01-04)
qdct_impl\dct_type2_48.cpp (19866, 2014-01-04)
qdct_impl\signum.cpp (4347, 2014-01-04)
qtfm\@quaternion\iqdct2.m (1824, 2014-01-04)
qtfm\@quaternion\qdct2.m (1901, 2014-01-04)
reshape_spectral_image.m (2947, 2014-01-04)
rgb2icopp.m (2137, 2014-01-04)
rgb2icopp2.m (2117, 2014-01-04)
spectral_dct_saliency.m (2914, 2014-01-04)
spectral_dct_saliency_quaternion.m (3386, 2014-01-04)
spectral_saliency.m (4917, 2014-01-04)
spectral_saliency_multichannel.m (67859, 2014-01-04)
spectral_saliency_quaternion.m (4451, 2014-01-04)
spectral_saliency_quaternion_eigenpqft.m (3341, 2014-01-04)
spectral_saliency_quaternion_eigensr.m (4016, 2014-01-04)
... ...
1. GENERAL
Not much to say at the moment. If you are interested in the topic, then
please visit my website (http://cvhci.anthropomatik.kit.edu/~bschauer/).
If you use any of this work in scientific research or as part of a larger
software system, you are kindly requested to cite the use in any related
publications or technical documentation. The work is based upon:
[1] B. Schauerte, and R. Stiefelhagen, "Quaternion-based Spectral Saliency
Detection for Eye Fixation Prediction," in European Conference on
Computer Vision (ECCV), 2012
[2] B. Schauerte, and R. Stiefelhagen, "Predicting Human Gaze using
Quaternion DCT Image Signature Saliency and Face Detection," in IEEE
Workshop on the Applications of Computer Vision (WACV), 2012.
2. INSTALLATION
2.1. QUATERNION METHODS AND THE QTFM
If you want to use the Quaternion spectral saliency methods, then you need
the "Quaternion Toolbox for Matlab" (QTFM). Most importantly, for the
.m-file implementation of the quaternion dct spectral saliency you need to
patch the implementation by adding the .m-files in qtfm/@quaternion to the
corresponding folder of the QTFM.
A patched version of the QTFM that already contains the QDCT/iQDCT routines
can be downloaded at:
http://cvhci.anthropomatik.kit.edu/~bschauer/code/qdct-qtfm/
You can also use the get_additional_files.m to download the library.
2.2. OPTIMIZED C/C++ IMPLEMENTATION (.MEX)
The necessary .mex files for the optimized implementations can be generated
by running build.m. However, this should also be done automatically when
calling spectral_saliency_multichannel, if needed.
2.3 OPTIMIZED C/C++ IMPLEMENTATION (PRE-COMPILED .MEX BINARIES)
If you have trouble compiling, you can download pre-compiled .mex files for
some platforms at:
http://cvhci.anthropomatik.kit.edu/~bschauer/code/qdct-mex-binaries/
You can also use the get_additional_files.m to download the binaries.
2.4 LOCALLY DEBIASED REGION CONTRAST SALIENCY
You can download, compile, and install the C/C++ code for locally debiased
region contrast saliency [3]. To this end, simply execute
get_additional_files.m, which should download the latest code version from
the github repository at:
https://github.com/bschauerte/region_contrast_saliency
[3] B. Schauerte, R. Stiefelhagen, "How the Distribution of Salient Objects
in Images Influences Salient Object Detection". In Proceedings of the
20th International Conference on Image Processing (ICIP), 2013.
3. AUTHORS AND CONTACT INFORMATION
Boris Schauerte
4. ACKNOWLEDGEMENTS
4.1 INSTITUTIONS
Part of this work was/is supported by the German Research Foundation (DFG)
within the Collaborative Research Program SFB 588 "Humanoid Robots" and the
Quaero Programme, funded by OSEO, French State agency for innovation.
4.2 PEOPLE
Thanks for reporting bugs go to ...
Lahouari Ghouti
Hadi Hadizadeh
近期下载者:
相关文件:
收藏者: