焦平面早期视觉处理的CMOS图像传感器架构

F. D. V. R. Oliveira, J. Gomes, R. Carmona-Galán, J. Fernández-Berni, Á. Rodríguez-Vázquez
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引用次数: 0

摘要

本文提出了一个像素架构,旨在验证这样一种想法,即像素的微小变化可以在焦平面上执行重要的图像处理计算,而不会显著影响填充因子。概述了两种可能受益于这种新像素架构的算法,即用于对象识别的SIFT和用于人脸检测的Viola-Jones。简要讨论了在像素矩阵内进行计算的局限性和未来的工作也被提出。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMOS image sensor architecture for focal plane early vision processing
This paper presents a pixel architecture that aims at validating the idea that with a small change in the pixel it is possible to perform important image processing computations at the focal-plane without significantly affecting the fill factor. An overview of two algorithms that may benefit from this new pixel architecture is given, namely the SIFT for object recognition and the Viola-Jones for face detection. A brief discussion of the limitations of the computations performed inside the pixel matrix and the future work is also presented.
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