文件名称:SIFT-CPUPCUDA
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Windows] [Visual.Net] [源码]
- 上传时间：
- 2015-05-07
- 文件大小：
- 12.68mb
- 下载次数：
- 0次
- 提 供 者：
- l*
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
sift+cpu+cuda并行处理sift特征点提取-sift cpu cuda
(系统自动生成,下载前可以参看下载内容)
下载文件列表
SIFT CPU+CUDA\readme.txt
.............\shareM\Debug\opencv.exe
.............\......\.....\opencv.ilk
.............\......\.....\opencv.pdb
.............\......\.....\ScanMatrix.exe
.............\......\.....\ScanMatrix.ilk
.............\......\.....\ScanMatrix.pdb
.............\......\.....\SiftGPU.exe
.............\......\.....\SiftGPU.ilk
.............\......\.....\SiftGPU.pdb
.............\......\shareM\2.bmp
.............\......\......\Debug\link-cvtres.read.1.tlog
.............\......\......\.....\link-cvtres.write.1.tlog
.............\......\......\.....\link.8560-cvtres.read.1.tlog
.............\......\......\.....\link.8560-cvtres.write.1.tlog
.............\......\......\.....\link.8560.read.1.tlog
.............\......\......\.....\link.8560.write.1.tlog
.............\......\......\.....\link.9664-cvtres.read.1.tlog
.............\......\......\.....\link.9664-cvtres.write.1.tlog
.............\......\......\.....\link.9664.read.1.tlog
.............\......\......\.....\link.9664.write.1.tlog
.............\......\......\.....\link.read.1.tlog
.............\......\......\.....\link.write.1.tlog
.............\......\......\.....\mt.read.1.tlog
.............\......\......\.....\mt.write.1.tlog
.............\......\......\.....\rc.read.1.tlog
.............\......\......\.....\rc.write.1.tlog
.............\......\......\.....\ScanMatrix.Build.CppClean.log
.............\......\......\.....\ScanMatrix.cu.deps
.............\......\......\.....\ScanMatrix.exe.embed.manifest
.............\......\......\.....\ScanMatrix.exe.embed.manifest.res
.............\......\......\.....\ScanMatrix.exe.intermediate.manifest
.............\......\......\.....\ScanMatrix.lastbuildstate
.............\......\......\.....\ScanMatrix_manifest.rc
.............\......\......\.....\shareM.Build.CppClean.log
.............\......\......\.....\shareM.lastbuildstate
.............\......\......\.....\shareM.log
.............\......\......\.....\shareMatrix.cu.deps
.............\......\......\.....\siftCuda.cu.cache
.............\......\......\.....\siftCuda.cu.deps
.............\......\......\.....\siftCuda.cu.obj
.............\......\......\.....\SiftGPU.exe.embed.manifest
.............\......\......\.....\SiftGPU.exe.embed.manifest.res
.............\......\......\.....\SiftGPU.exe.intermediate.manifest
.............\......\......\.....\SiftGPU.lastbuildstate
.............\......\......\.....\SiftGPU_manifest.rc
.............\......\......\.....\testCuda.cu.deps
.............\......\......\DogImage00.BMP
.............\......\......\DogImage01.BMP
.............\......\......\DogImage11.BMP
.............\......\......\DogImage21.BMP
.............\......\......\DogImage31.BMP
.............\......\......\outImage00.BMP
.............\......\......\outImage01.BMP
.............\......\......\outImage02.BMP
.............\......\......\outImage10.BMP
.............\......\......\outImage11.BMP
.............\......\......\outImage12.BMP
.............\......\......\outImage20.BMP
.............\......\......\outImage21.BMP
.............\......\......\outImage30.BMP
.............\......\......\outImage31.BMP
.............\......\......\pixelValue.txt
.............\......\......\shareM.vcxproj
.............\......\......\shareM.vcxproj.filters
.............\......\......\shareM.vcxproj.user
.............\......\......\siftCpu.cu
.............\......\......\siftCuda.cu
.............\......\......\sift算法—C实现.doc
.............\......\......\vc100.pdb
.............\......\......\灰度图2.BMP
.............\......\......\高斯模糊3.bmp
.............\......\shareM.sdf
.............\......\SiftCUDA.sln
.............\......\SiftCUDA.suo
.............\SiftGpu.suo
.............\shareM\shareM\Debug
.............\......\Debug
.............\......\ipch
.............\......\shareM
.............\shareM
SIFT CPU+CUDA