In this paper we present the Toulouse Vanishing Points Dataset, a public photographs database of Manhattan scenes taken with an iPad Air 1 . The purpose of this dataset is the evaluation of vanishing points estimation algorithms. Its originality is the addition of Inertial Measurement Unit (IMU) data synchronized with the camera under the form of rotation matrices. Moreover, contrary to existing works which provide vanishing points of reference in the form of single points, we computed uncertainty regions. The Toulouse Vanishing Points Dataset is publicly available at
This article presents a method to ease the generation of room floor plans with a Project Tango device. Our method takes as input range images as well as camera poses. It is based on the extraction of vertical planar surfaces we label as wall or clutter. While the user is scanning the scene, we estimate the room layout from the labeled planar surfaces by solving a shortest path problem. The user can intervene in this process, and affect the estimated layout by changing the label of the extracted planar surfaces. We compare our approach with other mobile applications and demonstrate its validity.
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