GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone

TL;DR

GRIHA is a mobile-based framework that uses SLAM technology to generate 2D building layouts from simple RGB images captured with a smartphone, eliminating the need for specialized hardware or panoramic images.

Contribution

This work introduces GRIHA, a novel, efficient method for indoor layout generation using only standard RGB images and built-in mobile SLAM technology.

Findings

Outperforms existing methods in accuracy and efficiency

Works on multiple hardware platforms

Requires only simple RGB images for layout generation

Abstract

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 existing methods either use RGB-D images, thus requiring a depth camera, or depending on panoramic photos, assuming that there is little to no occlusion in the rooms. In this work, we proposed GRIHA (Generating Room Interior of a House using ARCore), a framework for generating a 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. It gives the user freedom to generate layout by merely taking a few conventional photos, rather than relying on specialized depth hardware or occlusion-free panoramic images. We have compared GRIHA with other existing methods and obtained superior results. Also, the system is tested on multiple hardware platforms to test the dependency and efficiency.