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Evaluating motion and binocular parallax as depth cues for autostereoscopic displays

: Braun, M.; Leiner, U.; Ruschin, D.


Woods, A.J. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.; Society for Imaging Science and Technology -IS&T-:
Stereoscopic Displays and Applications XXII : 24 - 27 January 2011, San Francisco, California, United States; proceedings IS&T/SPIE electronic imaging, science and technology
Bellingham, WA: SPIE, 2011 (Proceedings of SPIE 7863)
ISBN: 978-0-8194-8400-0
Paper 786308
Stereoscopic Displays and Applications Conference (SD&A) <22, 2011, San Francisco/Calif.>
Symposium on Electronic Imaging, Science and Technology (IS&T) <2011, San Francisco/Calif.>
Fraunhofer HHI ()

The perception of space in the real world is based on multifaceted depth cues, most of them monocular, some binocular. Developing 3D-displays raises the question, which of these depth cues are predominant and should be simulated by computational means in such a panel. Beyond the cues based on image content, such as shadows or patterns, Stereopsis and depth from motion parallax are the most significant mechanisms supporting observers with depth information. We set up a carefully designed test situation, widely excluding undesired other distance hints. Thereafter we conducted a user test to find out, which of these two depth cues is more relevant and whether a combination of both would increase accuracy in a depth estimation task. The trials were conducting utilizing our autostereoscopic "Free2C"-displays, which are capable to detect the user eye position and steer the image lobes dynamically into that direction. At the same time, eye position was used to update the virtu al camera's location and thereby offering motion parallax to the observer. As far as we know, this was the first time that such a test has been conducted using an autosteresocopic display without any assistive technologies. Our results showed, in accordance with prior experiments, that both cues are effective, however Stereopsis is by order of magnitude more relevant. Combining both cues improved the precision of distance estimation by another 30-40%.