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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: 如题SiftGPU，基于CPU的sift算法，运算速度应该很快，但需要的硬件支持也很高。
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Size: 8372349 |
Author: liuyun |
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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
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Size: 8174747 |
Author: 马江林 |
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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: 一种鲁棒的特征匹配方法，对于旋转光照，遮挡等变化有很强的适应性-A Robust feature matching method, for the rotating light, shelter and other changes have a strong adaptive
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Size: 9003008 |
Author: wu78zg |
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Description: 如题SiftGPU，基于CPU的sift算法，运算速度应该很快，但需要的硬件支持也很高。-Such as the title SiftGPU, based on the CPU of the sift algorithm, computational speed should be soon, but the necessary hardware support is also high.
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Size: 8372224 |
Author: liuyun |
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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: 基于NVIDIA CUDA GPU计算开发环境的双目视觉匹配程序，用于立体视觉的识别，同时可用于三维重建。主要算法在显卡上进行，需要NVIDIA的支持CUDA的显卡-NVIDIA CUDA GPU-based computing development environment to match the binocular vision procedures, for three-dimensional visual recognition, can be used for three-dimensional reconstruction at the same time. Graphics on the main algorithm, and the need to support NVIDIA' s CUDA cards
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Size: 1789952 |
Author: 远航 |
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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: not contain makefile, siftgpu archive, enjoy yourself
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Size: 401408 |
Author: vincent |
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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: siftgpu 库 图像识别的GPU加速库 v400版本-the image recognition siftgpu library GPU-accelerated version of the library v400
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Size: 5830656 |
Author: liuhailo |
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Description: 这是经过本人测试过可以运行的SIFTGPU程序
网上找了很多，这个最好了-This is the best SIFT Source code that i find in website
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Size: 5983232 |
Author: shuteoliver |
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Description: 国外作者编写的siftGPU源码，非常强大，可以快速实现匹配，对于差异较大的影像，也可以匹配出很多同名点。-siftGPU source written by Foreign author , which is very powerful, you can quickly achieve matching, even with quite different images, you can also match a lot of tie points.
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Size: 7879680 |
Author: pang shi yan |
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Description: 包括基于SIFTGPU的sift特征提取，sift匹配，基于ransac误匹配点剔除等-SIFTGPU based sift feature extraction, sift matching, mismatching points based ransac removed, etc.
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Size: 5120 |
Author: xiexiaowei |
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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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