Kim, Young Min Ryu, Sangwoo Kim, Ig-Jae 2024-01-19T14:31:45Z 2024-01-19T14:31:45Z 2021-09-04 2021-06-01 1077-2626 https://pubs.kist.re.kr/handle/201004/116877 Scanning and acquiring a 3D indoor environment suffers from complex occlusions and misalignment errors. The reconstruction obtained from an RGB-D scanner contains holes in geometry and ghosting in texture. These are easily noticeable and cannot be considered as visually compelling VR content without further processing. On the other hand, the well-known Manhattan World priors successfully recreate relatively simple structures. In this article, we would like to push the limit of planar representation in indoor environments. Given an initial 3D reconstruction captured by an RGB-D sensor, we use planes not only to represent the environment geometrically but also to solve an inverse rendering problem considering texture and light. The complex process of shape inference and intrinsic imaging is greatly simplified with the help of detected planes and yet produces a realistic 3D indoor environment. The generated content can adequately represent the spatial arrangements for various AR/VR applications and can be readily composited with virtual objects possessing plausible lighting and texture. English IEEE COMPUTER SOC Planar Abstraction and Inverse Rendering of 3D Indoor Environments Article 10.1109/TVCG.2019.2960776 1 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.27, no.6, pp.2992 - 3006 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 27 6 2992 3006 scie scopus 000649620700017 2-s2.0-85105856025 Computer Science, Software Engineering Computer Science Article Geometry Rendering (computer graphics) Indoor environment Three-dimensional displays Lighting Image reconstruction Semantics 3D content creation indoor modeling texture generation inverse rendering