3D object surface tracking using partial shape templates trained from a depth camera for spatial augmented reality environments

Authors:
Kazuna Tsuboi;Yuji Oyamada;Maki Sugimoto;Hideo Saito
Affiliations:
Keio University, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan;Keio University, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan;Keio University, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan;Keio University, Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan
Venue:
AUIC '13 Proceedings of the Fourteenth Australasian User Interface Conference - Volume 139
Year:
2013

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Abstract

We present a 3D object tracking method using a single depth camera for Spatial Augmented Reality (SAR). The drastic change of illumination in a SAR environment makes object tracking difficult. Our method uses a depth camera to train and track the 3D physical object. The training allows maker-less tracking of the moving object under illumination changes. The tracking is a combination of feature based matching and frame sequential matching of point clouds. Our method allows users to adapt 3D objects of their choice into a dynamic SAR environment.