Description: 基于最新一代通用GPU－－Geforce8800，在CUDA平台上开发流体模拟程序，是基于GPU的通用计算应用在图形学领域的一个范例。由于该环境在国内不常见，并且支持模拟环境，保留了可执行文件作为参考。-based on the latest generation of common GPU-- Geforce8800. CUDA platform in the development of fluid simulation program, GPU is based on the generic terms used in the field of graphics one example. As the environment in China is not uncommon, and supports simulation environment, while retaining the executable file as a reference. Platform: |
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Author:白洪涛 |
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Description: 在计算机图像硬件上实现计算机视觉的相关算法，并使用了OpenGL及其Cg语言和CUDA，程序不错。-The OpenVIDIA project implements computer vision algorithms on computer graphics hardware, in OpenGL and Cg and CUDA. The project provides useful example programs which run computer vision algorithms on single or parallel graphics processing units(GPU). Platform: |
Size: 27552768 |
Author:lidawei |
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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.
Platform: |
Size: 5296128 |
Author:周金强 |
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