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Description: 本工程为sift特征提取的GPU实现，其提取速度比单纯使用CPU计算快20倍，要注意的是显卡要是Nvidia 6以上的
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Size: 9003337 |
Author: alenw |
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Description: sift算法的代码，可以进行特征点的提取和匹配，速度不如GPU的快
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Size: 352301 |
Author: alenw |
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Description: 《GPU PROGRAMMING GUID》（GPU编程指南）英文版，关于GPU方面的电子书籍-"GPU PROGRAMMING GUID" (GPU Programming Guide) in English, GPU on the e-books
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Size: 10809344 |
Author: lb |
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Description: 本工程为sift特征提取的GPU实现，其提取速度比单纯使用CPU计算快20倍，要注意的是显卡要是Nvidia 6以上的-This works for feature extraction sift realize the GPU, and its extraction faster than using the CPU alone is 20 times faster calculation, it is necessary to note that the graphics card if Nvidia 6 or above
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Size: 9003008 |
Author: alenw |
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Description: sift算法的代码，可以进行特征点的提取和匹配，速度不如GPU的快-sift algorithm code, can feature points extraction and matching, slower than GPU fast
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Size: 3783680 |
Author: alenw |
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Description: A GPU implementation of David Lowe s Scale Invariant Feature Transform compiled on graphics cards
需要显卡芯片支持fp40/vp40，如nvidia 7900, 8800或以上-A GPU implementation of David Lowe s Scale Invariant Feature Transform compiled on graphics cards to support the needs of graphics chips fp40/vp40, such as the nvidia 7900, 8800 or more
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Size: 8174592 |
Author: 马江林 |
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Description: 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, 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 an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, 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.
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Size: 6984704 |
Author: picab |
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Description: fast SIFT code using GPU
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Size: 5306368 |
Author: Yoo,seok bong |
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Description: SiftGPU 是SIFT特征为GPU执行。 SiftGPU进程像素平行建立高斯金字塔的技术要点。基于GPU的清单生成，SiftGPU然后使用的GPU / CPU的混合方法，有效地建立紧密特征点的名单。并行处理技术要点最后得到他们的方向和描述。-SiftGPU is an implementation of SIFT for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, 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.
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Size: 5048320 |
Author: RockZhou |
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Description: 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.
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Size: 5296128 |
Author: 周金强 |
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Description: GPU版的klt光流算法，能够快速的完成sift 算法
，需要显卡支持-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.
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Size: 5332992 |
Author: wangxi |
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Description: SiftGPU is an implementation of SIFT for GPU. It does pyramid construction, keypoint
detection and descriptor generation on GPU. Not only does SiftGPU process pixels/features
paralelly with GPU, this implementation also reduces readback time by generating compact
feature list with GPU algorithms
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Size: 5532672 |
Author: bou3aza |
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Description: 利用GPU加速的SIFT算法，实现影像匹配，并利用RANSAC进行粗差的剔除-GPU-accelerated use SIFT algorithm to achieve image matching, and use RANSAC removing coarse poor
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Size: 23031808 |
Author: 宋孟肖 |
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Description: 在GPU-CUDA平台上计算SIFT特征点，使用cuda-C，使SIFT提取特征加快-SIFT feature points calculated on the GPU-CUDA platform, use cuda-C, so SIFT feature extraction to accelerate
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Size: 384000 |
Author: |
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Description: 在GPU-CUDA平台上进行SIFT特征提取，加快提取速度-On GPU-CUDA platform SIFT feature extraction, speeding up the extraction rate
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Size: 2359296 |
Author: |
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Description: 基于GPU的SIFT特征提取算法研究，对于GPU的理解很有用！-SIFT feature extraction algorithm research based on GPU, GPU is useful for understanding!
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Size: 589824 |
Author: 毛国庆 |
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Description: cuda sift ，gpu平台基于cuda的sift算法-cuda sift
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Size: 2998272 |
Author: ly |
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Description: gpusift-利用GPU加速的SIFT-gpusift- use GPU-accelerated SIFT
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Size: 7918592 |
Author: fanyang |
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Description: C++的源码关于slam程序的，可以在windows下调试，该代码主要针对slam中sift的计算问题，将sift算子的计算放到GPU上进行，大大提高了源码的运行速度-this is an project about slam .and we put the sift in GPU calculate.It is very importan for us to improve the slam speed.
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Size: 1669120 |
Author: 任天涯 |
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