使用自由形式的线条确定相机姿势

S. Nagarajan, T. Schenk, B. Csathó
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引用次数: 0

摘要

确定相机的姿态或外部方向是表面重建和后续步骤(如摄影测量学或计算机视觉中的感知组织和物体识别)的重要步骤。姿势是指透视相机在曝光时的位置和姿态。通常使用物体空间和图像空间中的一组点来确定。使用自由形式的线条作为图像和对象空间之间的共同特征一直是一个挑战。这主要是由于没有一个数学模型可以将物体空间、图像空间和相机姿态中的自由形式线联系起来。本文介绍了一种新颖的利用自由线确定相机姿态的数学模型。传感器记录的一切都可以被认为是物理表面的离散化[1]。因此,在图像和物体空间中记录或识别相同点的可能性较小,通常更容易找到相应的线。该方法将引领一种利用历史地理信息系统(GIS)或物体空间数据确定图像姿态的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determining camera pose using free-form lines
Determining pose or exterior orientation of a camera is an important step in surface reconstruction and subsequent steps such as perceptual organization and object recognition in photogrammetry or computer vision. Pose refers to position and attitude of a perspective camera at the time of exposure. It is generally determined using a set of points in object space and image space. Using free-form lines as a common feature between image and object spaces has always been a challenge. It is basically due to the unavailability of a mathematical model that relates free-form lines in object space, image space and pose of the camera. This paper introduces an innovative mathematical model to determine the camera pose using free-form lines. Everything recorded by a sensor can be considered a discretization of the physical surface [1]. Hence, it is less likely that the same points can be recorded or identified in both image and object space and it is usually easier to find corresponding lines. The method will lead a way to determine pose of images using historical Geographical Information System(GIS) or object space data.
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