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Fixed Pattern Noise Analysis for Feature Descriptors in CMOS APS Images

机译：CMOS APS图像中的特征描述符的固定模式噪声分析

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摘要

This paper provides a comparative performance evaluation of local features for images from CMOS APS sensors affected by fixed pattern noise for different combinations of common detectors and descriptors. Although numerous studies report comparisons of local features designed for ordinary visual images, their performance on images with fixed pattern noise is far less assessed. The goal of this work is to develop a tool that allows to evaluate the performance of computer vision algorithms and their implementations subject to deviations of the physical parameters of the CMOS sensor. This tool will facilitate the quantification of the high-level effects produced by circuit random noise, enabling the optimization of the sensor during the design flow with specifications much closer to the application scope. Likewise, this tool will provide the electronic designer with a relationship between high-level algorithm accuracy and maximum fixed pattern noise. Thus the contribution is double: (1) to evaluate the performance of both local float type and more recent binary type detectors and descriptors when combined under a variety of image transformations, and (2) to extract relevant information from circuit-level simulation and to develop a basic noise model to be employed in the design of the feature descriptor evaluation. The utility of this approach is illustrated by the evaluation of the effect of columnwise and pixel-wise fixed pattern noise at the sensor on the performance of different local feature descriptors.
机译：本文提供了由CMOS APS传感器的局部特征的对比性能评估，其由固定模式噪声影响的CMOS APS传感器，用于普通探测器和描述符的不同组合。虽然众多研究报告了为普通视觉图像设计的本地特征的比较，但它们在具有固定图案噪声的图像上的性能远低于评估。这项工作的目标是开发一种工具，允许评估计算机视觉算法的性能及其实现，这些实施经过CMOS传感器的物理参数的偏差。该工具将促进电路随机噪声产生的高级效果的量化，从而在设计流程期间能够优化传感器，规格更接近应用范围。同样，该工具将提供具有高级算法精度与最大固定图案噪声之间的关系的电子设计师。因此，贡献是双重的：（1）在组合在各种图像变换下组合时，评估本地浮点式和更新的二进制型检测器和描述符的性能，以及（2）从电路级模拟中提取相关信息。开发在特征描述符评估的设计中使用的基本噪声模型。通过评估传感器在不同局部特征描述符的性能下的柱貌和像素 - 方向固定图案噪声的效果的评估来说明这种方法的效用。

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