Model-based registration of multi-rigid-body for augmented reality

Sei Ikeda; Hajime Hori; Masataka Imura; Yoshitsugu Manabe; Kunihiro Chihara

doi:10.1117/12.805401

26 January 2009 Model-based registration of multi-rigid-body for augmented reality

Sei Ikeda, Hajime Hori, Masataka Imura, Yoshitsugu Manabe, Kunihiro Chihara

Proceedings Volume 7238, The Engineering Reality of Virtual Reality 2009; 723802 (2009) https://doi.org/10.1117/12.805401
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Geometric registration between a virtual object and the real space is the most basic problem in augmented reality. Model-based tracking methods allow us to estimate three-dimensional (3-D) position and orientation of a real object by using a textured 3-D model instead of visual marker. However, it is difficult to apply existing model-based tracking methods to the objects that have movable parts such as a display of a mobile phone, because these methods suppose a single, rigid-body model. In this research, we propose a novel model-based registration method for multi rigid-body objects. For each frame, the 3-D models of each rigid part of the object are first rendered according to estimated motion and transformation from the previous frame. Second, control points are determined by detecting the edges of the rendered image and sampling pixels on these edges. Motion and transformation are then simultaneously calculated from distances between the edges and the control points. The validity of the proposed method is demonstrated through experiments using synthetic videos.

Citation Download Citation

Sei Ikeda, Hajime Hori, Masataka Imura, Yoshitsugu Manabe, and Kunihiro Chihara "Model-based registration of multi-rigid-body for augmented reality", Proc. SPIE 7238, The Engineering Reality of Virtual Reality 2009, 723802 (26 January 2009); https://doi.org/10.1117/12.805401

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available