自动化学报2017，Vol.43Issue(8)：1402-1411,10.DOI:10.16383/j.aas.2017.c160043
结合物体先验和空域约束的室内空域布局推理
Estimating Spatial Layout of Cluttered Rooms by Using Object Prior and Spatial Constraints
摘要
Abstract
Estimating spatial layout of a structural indoor scene is one of the research hotspots in computer vision. However, most of the current solutions cannot work robustly in a cluttered room due to occlusion of different objects inside. In this paper, a new algorithm which integrates geometric and semantic relations between room and objects is proposed to recover the spatial layout of a cluttered room. This algorithm parametrically represents the 3D volume of both room and objects and uses multiple high-level image semantics to obtain object priors. Furthermore, several spatial constraints such as spatial exclusion and containment are used which simultaneously optimize spatial layout estimation of the room and provide significant information for object recognition and localization. One advantage of the algorithm is its low computational complexity, and experimental results also demonstrate that it can work more robustly in cluttered rooms than several classic algorithms.关键词
空域布局推理/物体先验/空域约束/组合优化Key words
Spatial layout estimation/object prior/spatial constraint/combinational optimization引用本文复制引用
姚拓中,左文辉,宋加涛,应宏微..结合物体先验和空域约束的室内空域布局推理[J].自动化学报,2017,43(8):1402-1411,10.基金项目
浙江省自然科学基金(LQ15F020004), 浙江省公益类技术研究项目(2016C33255), 宁波市自然科学基金(2015A610132, 2013A610113)资助Supported by Zhejiang Provincial Natural Science Foundation (LQ15F020004), Zhejiang Provincial Public Welfare Technology Research Project (2016C33255), and Ningbo Natural Science Foundation (2015A610132, 2013A610113) （LQ15F020004）
