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A flexible, high performance hardware implementation of the simplified histogram of oriented gradients descriptor

机译:一种灵活的、高性能的硬件实现的简化的柱状图面向梯度描述符

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摘要

In this paper, a high performance, configurable, compact hardware architecture for computing the histogram of oriented gradients (HoG) descriptors is presented. The descriptor computation algorithm is simplified vs.r.t. to the original solution, enabling hardware resource cost reduction with only a small accuracy penalty. The proposed architecture can be accommodated to different block sizes and different block grid configurations, enabling its use in a wide range of object detection and recognition tasks with varying region of interest sizes. The resulting architecture is systolic and massively parallel, enabling high throughput processing.
机译:在这篇文章中,一个高性能、可配置的,紧凑的硬件体系结构计算面向梯度直方图(猪)描述符提出了。算法简化vs.r.t。解决方案,使硬件资源成本减少,只有一个小精度惩罚。建议的体系结构可以适应不同的块大小和不同网格块配置,使其在广泛使用对象的检测和识别任务不同地区的利益大小。架构是收缩压和大规模并行,使高通量处理。

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