Interpreting Indoor Scene from a Single Full-View Image
Hanchao Jia, Shigang Li · IEEJ Transactions on Electronics Information and Systems · 2015
We study the problem of recovering the structure of indoor scene from a single image. So far nearly all existing methods either using conventional images or omnidirectional images involve just partial scene, which leads to the recovered spatial layouts referring to incomplete structures. In this paper, these cases are summarized as “open geometry”. In order to obtain the entire structure, we impose an analogous description to present geometric constrains of a full-view image, called “close geometry”. Then, we propose a new model to explore indoor scene understanding from a single full-view image. A novel method is also given to estimate the structure of rooms by searching for the structure which fits the extracted line segments best. The experiments demonstrate that our approach based on close geometry can exhibit a good performance to estimate indoor structure.