4 March 2015 Reconstruction of indoor scene from a single image
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944325 (2015) https://doi.org/10.1117/12.2179370
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Given a single image of an indoor scene without any prior knowledge, is it possible for a computer to automatically reconstruct the structure of the scene? This letter proposes a reconstruction method, called RISSIM, to recover the 3D modelling of an indoor scene from a single image. The proposed method is composed of three steps: the estimation of vanishing points, the detection and classification of lines, and the plane mapping. To find vanishing points, a new feature descriptor, named “OCR”, is defined to describe the texture orientation. With Phrase Congruency and Harris Detector, the line segments can be detected exactly, which is a prerequisite. Perspective transform is a defined as a reliable method whereby the points on the image can be represented on a 3D model. Experimental results show that the 3D structure of an indoor scene can be well reconstructed from a single image although the available depth information is limited.
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Di Wu, Di Wu, Hongyu Li, Hongyu Li, Lin Zhang, Lin Zhang, } "Reconstruction of indoor scene from a single image", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944325 (4 March 2015); doi: 10.1117/12.2179370; https://doi.org/10.1117/12.2179370
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