Estimating the Structure of Rooms from a Single Fisheye Image

Hanchao Jia, Shigang Li

Abstract: Most existing approaches to indoor scene understanding formulate the problem based on the pinhole camera geometry. Unfortunately, these approaches cannot be utilized well for an omni directional image. In this paper, we focus on the problem of estimating the spatial layout of rooms from a single fisheye image. Considering the wide field of view of fisheye cameras, we introduce a structure symmetrical rule which describes geometric constraints. A method is given to estimate and recover the preliminary spatial layout of room only from a collection of line segments extracted from a fisheye image. Then, an orientation map of structure is generated. Finally, we refine the spatial layout to obtain the main structure. The experiments demonstrate that our approach based on geometric reasoning can be used to estimate the structure of indoor scene from a single fisheye image.