Paper
6 March 2014 Measuring perceived depth in natural images and study of its relation with monocular and binocular depth cues
Author Affiliations +
Proceedings Volume 9011, Stereoscopic Displays and Applications XXV; 90110C (2014) https://doi.org/10.1117/12.2040055
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
The perception of depth in images and video sequences is based on different depth cues. Studies have considered depth perception threshold as a function of viewing distance (Cutting and Vishton, 1995), the combination of different monocular depth cues and their quantitative relation with binocular depth cues and their different possible type of interactions (Landy, l995). But these studies only consider artificial stimuli and none of them attempts to provide a quantitative contribution of monocular and binocular depth cues compared to each other in the specific context of natural images. This study targets this particular application case. The evaluation of the strength of different depth cues compared to each other using a carefully designed image database to cover as much as possible different combinations of monocular (linear perspective, texture gradient, relative size and defocus blur) and binocular depth cues. The 200 images were evaluated in two distinct subjective experiments to evaluate separately perceived depth and different monocular depth cues. The methodology and the description of the definition of the different scales will be detailed. The image database (DC3Dimg) is also released for the scientific community.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre Lebreton, Alexander Raake, Marcus Barkowsky, and Patrick Le Callet "Measuring perceived depth in natural images and study of its relation with monocular and binocular depth cues", Proc. SPIE 9011, Stereoscopic Displays and Applications XXV, 90110C (6 March 2014); https://doi.org/10.1117/12.2040055
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
3D image processing

Databases

Video

Cameras

Psychophysics

Remote sensing

Image resolution

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