LayART: Generating indoor layout using ARCore Transformations

Reconstructing an indoor scene and generating a layout/floor plan in 3D or 2D is a widely known problem. Quite a few algorithms have been proposed in the literature recently. However, most of the existing methods either use RGB-D images, thus requiring a depth camera, or depend on panoramic photos with the assumption that there is little to no occlusion in the rooms. In this work, we proposed generation of layout using an RGB image captured using a simple mobile phone camera. We take advantage of Simultaneous Localization and Mapping (SLAM) to assess the 3D transformations required for layout generation. SLAM technology is built-in in recent mobile libraries such as ARCore by Google. Hence, the proposed method is fast and efficient, while giving the user freedom to generate layout by simply taking a few conventional photos, rather than relying on specialized depth hardware or occlusion-free panoramic photos.