Structure from image sequences captured through a monocular extra-wide angle lens

K. Kato, Tadashi Nakanishi, A. Shio, K. Ishii
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引用次数: 12

Abstract

This paper presents a new method for extracting the 3-D shape and texture of an object undergoing translational motion from image sequences captured through a monocular extra-wide picture viewing angle. The feature of this work is extracting this information from image sequences without requiring rigid environmental conditions. In this method, the relative positions between target and view position are estimated based on spatio-temporal image analysis, and shape is reconstructed from the multiple silhouette information. After reconstructing the 3-D shape, the voxel value of a surface point is determined by statistically analyzing those images that contain the surface point. The proposed method can extract 3-D shape and surface texture at a stroke from outdoor scenes. An experiment using real outdoor scenes confirms the effectiveness of the method.<>
结构从图像序列捕获通过单眼超广角镜头
本文提出了一种从单眼超广角图像序列中提取平移运动物体三维形状和纹理的新方法。这项工作的特点是从图像序列中提取这些信息,而不需要严格的环境条件。该方法基于图像的时空分析,估计目标位置与视点位置之间的相对位置,并根据多个轮廓信息重构目标形状。重建三维形状后,通过统计分析包含曲面点的图像来确定曲面点的体素值。该方法可以一次提取室外场景的三维形状和表面纹理。室外真实场景实验验证了该方法的有效性。
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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