SiftGPU-V370
所属分类：图形图像处理
开发工具：Visual C++
文件大小：5172KB
下载次数：102
上传日期：2011-02-23 10:20:27
上 传 者：
zhoujqking
说明： 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual
(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
)
文件列表:
SiftGPU (0, 2010-12-03)
SiftGPU\bin (0, 2010-12-10)
SiftGPU\bin\DevIL.dll (670720, 2010-05-24)
SiftGPU\bin\glew32.dll (245760, 2010-05-24)
SiftGPU\bin\SIFTGPU.dll (1797632, 2011-01-05)
SiftGPU\bin\SimpleSIFT.exe (163840, 2010-12-11)
SiftGPU\bin\speed.exe (159744, 2011-01-05)
SiftGPU\bin\TestWin.exe (164864, 2011-01-05)
SiftGPU\data (0, 2010-12-03)
SiftGPU\data\1600.jpg (924572, 2010-12-03)
SiftGPU\data\640-1.jpg (196370, 2010-05-24)
SiftGPU\data\640-2.jpg (127006, 2010-12-03)
SiftGPU\data\640-3.jpg (174225, 2010-12-03)
SiftGPU\data\640-4.jpg (210024, 2010-05-24)
SiftGPU\data\640-5.jpg (182836, 2010-05-24)
SiftGPU\data\800-1.jpg (100799, 2010-05-24)
SiftGPU\data\800-2.jpg (184675, 2010-12-03)
SiftGPU\data\800-3.jpg (257933, 2010-12-03)
SiftGPU\data\800-4.jpg (331461, 2010-05-24)
SiftGPU\data\box.pgm (72310, 2005-07-07)
SiftGPU\data\list640.txt (53, 2007-06-15)
SiftGPU\data\listx.txt (97, 2007-08-24)
SiftGPU\data\Thumbs.db (42496, 2009-02-12)
SiftGPU\demos (0, 2010-12-03)
SiftGPU\demos\demo1.bat (44, 2009-06-08)
SiftGPU\demos\demo2.bat (48, 2009-06-08)
SiftGPU\demos\demo3.bat (44, 2009-06-08)
SiftGPU\demos\evaluation-box.bat (109, 2009-06-08)
SiftGPU\demos\instructions.txt (267, 2009-03-19)
SiftGPU\doc (0, 2010-12-03)
SiftGPU\doc\evaluation (0, 2010-12-03)
SiftGPU\doc\evaluation\box.pgm (72310, 2005-07-07)
SiftGPU\doc\evaluation\box.siftgpu (253131, 2008-09-19)
SiftGPU\doc\evaluation\evaluation.jpg (48086, 2008-09-20)
SiftGPU\doc\manual.pdf (54996, 2010-02-27)
SiftGPU\doc\speed_v311.jpg (41978, 2008-09-23)
SiftGPU\doc\speed_v340_v2.jpg (232414, 2009-03-24)
SiftGPU\doc\statistics.pdf (105312, 2008-09-23)
SiftGPU\History.txt (9533, 2010-12-11)
SiftGPU\include (0, 2010-12-03)
... ...
A GPU implementation of David Lowe's Scale Invariant Feature Transform
Changchang wu
http://cs.unc.edu/~ccwu
University of North Carolina at Chapel Hill
1. SIFT
SIFTGPU is an implementation of SIFT for GPU. SiftGPU uses GPU to process pixels and features
parallely in Gaussian pyramid construction, DoG keypoint detection and descriptor generation
for SIFT. Compact feature list is efficiently build through a GPU/CPU mixed reduction.
SIFTGPU is inspired by Andrea Vedaldi's sift++ and Sudipta N Sinha et al's GPU-SIFT. Many
parameters of sift++ ( for example, number of octaves,number of DOG levels, edge threshold,
etc) are available in SiftGPU.
SIFTGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies
the descriptor matrix on GPU and find closest feature matches on GPU. GLSL/CUDA/CG implementations
are all provided.
NEW: The latest SIFTGPU also enables you to use Multi-GPUs and GPUS on different computers.
Check doc/manual.pdf for more information. You can modify some marcros definition in
SimpleSIFT.cpp and speed.cpp to enable the testing of the new functions.
2. Requirements
The default implemntation uses GLSL, and it requires a GPU that has large memory and supports
dynamic branching. For nVidia graphic cards, you can optionally use CG(require fp40) or
CUDA implementation. You can try different implementations and to find out the fastest one
for different image sizes and parameters.
The GLSL version may not work on ATI now. They did compile sucessfully with ATI Catalyst 8.9,
but not any more with 9.x versions.
SiftGPU uses DevIl Image library, GLEW and GLUT. You'll need to make sure your system has
all the dependening libraries. SiftGPU should be able to run on any operation system that supports
the above libraries
For windows system visual studio solution are provided as VC/SiftGPU.dsw, VC/SiftGPU.sln and
VC/SiftGPU_CUDA_Enabled.sln. Linux/Mac makefile is in folder Linux of the package.
3. Helps
Use -help to get parameter information. Check /doc/manual.pdf for samples and explanations.
In the vc workspace, there is a project called SimpleSIF that gives an example of simple
SiftGPU usage. There are more examples of different ways of using SiftGPU in manual.pdf
Check /doc/manual.pdf for help on the viewer.
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