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首页> 外文期刊>Applied optics >Adaptive matched filter for implicit-target recognition: application in three-dimensional reconstruction
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Adaptive matched filter for implicit-target recognition: application in three-dimensional reconstruction

机译：用于隐式目标识别的自适应匹配过滤器：在三维重建中的应用

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The design of matched filters for optical correlators requires explicit knowledge of the shape of the target. This requirement limits its usefulness in applications where the appearance of the target is unspecified or dynamically changing. This research presents the design of an adaptive correlation filter by the optimization of the mean-squared-error criterion when the shape of the target is implicit and embedded on a cluttered background with unknown statistics in the reference image. For this, estimators to obtain the region of support of the target as well as statistical parameters of additive and nonoverlapping noise of the scene are proposed. The performance of the proposed filter is analyzed in terms of detection efficiency and location accuracy of an implicit target in the context of stereo matching and three-dimensional reconstruction. (C) 2019 Optical Society of America
机译：用于光学相关器的匹配过滤器的设计需要明确的目标形状的知识。 此要求限制了其在目标外观未指定或动态变化的应用中的有用性。 当目标的形状隐含并嵌入在参考图像中的未知统计中，通过优化平均平衡误差标准，本研究通过优化平均平方误差标准来设计自适应相关滤波器的设计。 为此，提出了获得目标支持区域以及场景的附加噪声的统计参数的估计器。 在立体声匹配和三维重建的背景下，在隐式目标的检测效率和位置准确性方面分析所提出的滤波器的性能。 （c）2019年光学学会

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