Scene matching by spatial relationships

Q. Sjahputera, J. Keller, P. Matsakis
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引用次数: 7

Abstract

Scene matching is the process of recognizing two images as different views of the same scene captured using different sensor poses, and/or different types of sensors. In this work, each image contains the same objects and sensor pose parameters are not known. The spatial relationships among objects in the image, calculated using the histogram of forces (F-histogram) method, are used as matching elements. The degree of matching between two matching elements is calculated by comparing their F-histogram representations. Various geometric transformations are applied to the F-histograms during the comparison process to maximize the histogram similarity measure and to estimate the sensor pose parameters. The histogram similarity measure and the estimated sensor pose parameters are used as features in finding the best histogram correspondence map that matches the two images.
基于空间关系的场景匹配
场景匹配是将两幅图像识别为使用不同传感器姿势和/或不同类型传感器捕获的同一场景的不同视图的过程。在这项工作中,每个图像包含相同的物体和传感器姿态参数是未知的。使用力直方图(F-histogram)方法计算的图像中物体之间的空间关系作为匹配元素。两个匹配元素之间的匹配程度是通过比较它们的f直方图表示来计算的。在比较过程中对f直方图进行各种几何变换,以最大化直方图相似性度量并估计传感器位姿参数。将直方图相似度度量和估计的传感器位姿参数作为特征来寻找匹配两幅图像的最佳直方图对应图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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