Using vanishing points to correct camera rotation in images

Andrew C. Gallagher
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引用次数: 58

Abstract

Vanishing points provide valuable information regarding the camera model used to capture an image. To explore the relationship between classes of camera models and the location of vanishing points, typical consumer photographic behavior is considered. Based on these findings, an algorithm is presented that can automatically remove the tilted appearance of an image captured with a camera rotated about the principal axis. The algorithm includes detecting vanishing points in an image, determining if any vanishing points are associated with vertical lines in the scene, computing the angle of rotation, and rotating the image. Results of the algorithm are shown for a set of images. The algorithm performs well and produces pleasing images from original images that contain undesirable levels of tilt.
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使用消失点来纠正图像中的相机旋转
消失点提供了有关用于捕获图像的相机模型的有价值的信息。为了探讨相机模型的类别与消失点的位置之间的关系,我们考虑了典型的消费者摄影行为。在此基础上,提出了一种算法,可以自动去除相机围绕主轴旋转拍摄的图像的倾斜外观。该算法包括检测图像中的消失点,确定是否有消失点与场景中的垂直线相关,计算旋转角度,以及旋转图像。最后给出了一组图像的算法结果。该算法表现良好,从包含不受欢迎的倾斜水平的原始图像中产生令人愉悦的图像。
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