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METHOD FOR ACCELERATING A CDVS EXTRACTION PROCESS BASED ON A GPGPU PLATFORM

机译:GPGPU平台加速CDVS提取过程的方法

摘要

Embodiments of the present disclosure provide a method for accelerating CDVS extraction process based on a GPGPU platform, wherein for the stages of feature detection and local descriptor computation of the CDVS extraction process, operation logics and parallelism strategies of respective inter-pixel parallelism sub-procedures and respective inter-feature point parallelism sub-procedures are implemented by leveraging an OpenCL general-purpose parallelism programming framework, and acceleration is achieved by leveraging a GPU's parallelism computation capability; including: partitioning computing tasks for a GPU and a CPU; reconstructing an image scale pyramid storage model; assigning parallelism strategies to respective sub-procedures for the GPU; and applying local memory to mitigate the access bottleneck. The technical solution of the present disclosure may accelerate the CDVS extraction process and significantly enhances the extraction performance.
机译:本公开的实施例提供了一种基于GPGPU平台的CDVS提取过程的加速方法,其中,在特征检测和CDVS提取过程的局部描述符计算阶段,各个像素间并行子过程的操作逻辑和并行策略通过利用OpenCL通用并行编程框架来实现各自的功能间点并行子过程,并通过利用GPU的并行计算能力来实现加速。包括:划分用于GPU和CPU的计算任务;重建图像比例金字塔存储模型;为GPU的各个子过程分配并行策略;并应用本地内存来缓解访问瓶颈。本发明的技术方案可以加快CDVS的提取过程,大大提高提取性能。

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