用于实时目标检测的积分图像流处理

2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies Pub Date : 2008-12-01 DOI:10.1109/PDCAT.2008.46

C. Messom, A. Barczak

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引用次数: 17

摘要

本文给出了积分图像算法流处理实现的设计与评价。积分图像是许多图像处理算法的关键组成部分，特别是基于haar特征的系统。现代gpu提供了大量处理器，峰值浮点性能明显高于当前的通用cpu。当将大输入图像的积分图像计算卸载到系统的GPU上时，这将导致显着的性能改进。

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Stream Processing of Integral Images for Real-Time Object Detection

This paper presents the design and evaluation of the stream processing implementation of the integral image algorithm. The integral image is a key component of many image processing algorithms in particular the Haar-like feature based systems. Modern GPUs provide a large number of processors with a peak floating point performance that is significantly higher than current general CPUs. This results in significant performance improvement when the Integral Image calculation for large input images is offloaded onto the GPU of the system.

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2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies

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