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In-Situ 3D Indoor Modeler with a Camera and Self-contained Sensors

Tomoya Ishikawa, Kalaivani Thangamani, Masakatsu Kourogi, Andrew Gee, Walterio Mayol-Cuevas, Keechul Jung, Takeshi Kurata, In-Situ 3D Indoor Modeler with a Camera and Self-contained Sensors. 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009. ISBN 978-3-642-02770-3 , pp. 454 –464. July 2009. PDF, 1882 Kbytes.

Abstract

We propose a 3D modeler for supporting in-situ indoor modeling effectively. The modeler allows a user easily to create models from a single photo by interaction techniques taking advantage of features in indoor space and visualization techniques. In order to integrate the models, the modeler provides automatic integration functions using Visual SLAM and pedestrian dead-reckoning (PDR), and interactive tools to modify the result. Moreover, for preventing shortage of texture images to be used for the models, our modeler automatically searches from 3D models created by the user for un-textured regions and intuitively visualizes shooting positions to take a photo for the regions. These functions make it possible that the user easily create photorealistic indoor 3D models that have enough textures on the fly.

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