Room reconstruction from a single spherical image by higher-order energy minimization
Room reconstruction from a single spherical image by higher-order energy minimization
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DOI：
10.1109/icpr.2016.7899892
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
K. Fukano;Yoshihiko Mochizuki;S. Iizuka;E. Simo-Serra;A. Sugimoto;H. Ishikawa
中科院分区：
文献类型：
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作者：
K. Fukano;Yoshihiko Mochizuki;S. Iizuka;E. Simo-Serra;A. Sugimoto;H. Ishikawa
我们提出了一种从单个球形图像理解房间的方法，即，重建和标识形成房间中的天花板、地板和墙壁的结构平面。球形图像记录从所有方向落在单个视点上的福尔斯的光，并且不需要来自多个图像的相关几何信息，这有助于房间结构的鲁棒且精确的重建。在我们的方法中，我们从给定的图像中检测线段，并将它们分为两组：形成结构面边界的线段和不形成结构面边界的线段。我们制定这个问题作为一个高阶能量最小化问题，结合了各种措施的可能性，一个，两个或三个线段的边界的一部分。我们最小化的能量与图形切割，以确定形成边界的片段，从中我们估计结构的平面在3D中。对合成图像和真实的图像的实验结果证实了该方法的有效性。
We propose a method for understanding a room from a single spherical image, i.e., reconstructing and identifying structural planes forming the ceiling, the floor, and the walls in a room. A spherical image records the light that falls onto a single viewpoint from all directions and does not require correlating geometrical information from multiple images, which facilitates robust and precise reconstruction of the room structure. In our method, we detect line segments from a given image, and classify them into two groups: segments that form the boundaries of the structural planes and those that do not. We formulate this problem as a higher-order energy minimization problem that combines the various measures of likelihood that one, two, or three line segments are part of the boundary. We minimize the energy with graph cuts to identify segments forming boundaries, from which we estimate structural the planes in 3D. Experimental results on synthetic and real images confirm the effectiveness of the proposed method.