基于图像索引的线条特征化图像

T. Kunii, S. Murakami, Y. Shinagawa, M. Ohga
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引用次数: 6

摘要

近年来多媒体技术的发展要求我们寻找一种有效的图像搜索方法。目前大多数索引方法都是基于图像的颜色分布。然而,当用户不清楚地记住颜色时,很难检索到所需的图像。本文提出了一种基于图像中包含的形状的索引方法。我们用包含物体的半平面来描述图像。我们还提出了一种通过图像中包含的平行线的消失点来表征图像的方法。消失点表示三维(3D)物体如何投射到二维图像上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing images based on lines for image indexing
Recent advances in multimedia has necessitated us to look for an effective search method of images. Most of the contemporary indexing methods are based on color distribution in the images. When the users do not remember the colors clearly, however, it has been difficult to retrieve the desired images. The paper proposes an indexing method based on shapes contained in an image. We characterize an image by the half planes that contain the objects in it. We also propose a method to characterize images by the vanishing points of parallel lines contained in an image. The vanishing points represent how three dimensional (3D) objects are projected onto the 2D image.
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