Scene geometric recognition from monocular image
Yixian Liu, Pengwei Hao, Ebroul Izquierdo · 2012
In this paper, we propose an approach to detect scene geometrical structure given only one monocular image. Several typical scene geometries are investigated and corresponding models are built. A scene geometry reasoning system is set up based on image statistical features and scene geometric features. This system is able to find best fitting geometric models for most of the images from the benchmark dataset. Scene categorization could reveal important three-dimensional information contained in an image. We demonstrate how this valuable information could be used to reason the depth profile of a specific scene. Planes co-constructing the scene could be detected and located. Experiments have been done to roughly restore the structure of the scene to verify system performance. By our approach, computer could interpret a single image in terms of its geometry straightforwardly, avoiding usual semantically overlapping and deficiency problems.