微型机与应用2012，Vol.31Issue(23)：38-41,4.
平面单应性矩阵求解的CUDA并行实现
CUDA-based parallel implementation of homography estimation
摘要
Abstract
A massively parallel RANSAC algorithm implementation in GPU is proposed to meet the real-time requirements for homography estimation. At first, optimal iteration number is calculated. Then, each iteration task is assigned to a CUDA thread based on data independent between iterations. Experimental results on a GT 240M graphics card prove that the RANSAC homography algorithm could be used to deliver a speed-up of 8x with high resulution images on average.关键词
单应性/RANSAC/GPU/CUDAKey words
homography/RANSAC/GPU/CUDA分类
信息技术与安全科学引用本文复制引用
袁红星,吴少群,朱仁祥,诸葛霞..平面单应性矩阵求解的CUDA并行实现[J].微型机与应用,2012,31(23):38-41,4.基金项目
国家自然科学基金 （）
浙江省自然科学基金 （）
宁波市自然科学基金 （）
