JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
A perceptual framework for contrast processing of high dynamic range images
ACM Transactions on Applied Perception (TAP)
ACM SIGGRAPH 2008 papers
Depth-of-field rendering with multiview synthesis
ACM SIGGRAPH Asia 2009 papers
Nonlinear disparity mapping for stereoscopic 3D
ACM SIGGRAPH 2010 papers
Computational stereo camera system with programmable control loop
ACM SIGGRAPH 2011 papers
A perceptual model for disparity
ACM SIGGRAPH 2011 papers
OSCAM - optimized stereoscopic camera control for interactive 3D
Proceedings of the 2011 SIGGRAPH Asia Conference
Dynamic adjustment of stereo display parameters
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Antialiasing for automultiscopic 3D displays
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
Attention-Aware Disparity Control in interactive environments
The Visual Computer: International Journal of Computer Graphics
Joint view expansion and filtering for automultiscopic 3D displays
ACM Transactions on Graphics (TOG)
A metric of visual comfort for stereoscopic motion
ACM Transactions on Graphics (TOG)
Special Section on Advanced Displays: Display adaptive 3D content remapping
Computers and Graphics
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Binocular disparity is one of the most important depth cues used by the human visual system. Recently developed stereo-perception models allow us to successfully manipulate disparity in order to improve viewing comfort, depth discrimination as well as stereo content compression and display. Nonetheless, all existing models neglect the substantial influence of luminance on stereo perception. Our work is the first to account for the interplay of luminance contrast (magnitude/frequency) and disparity and our model predicts the human response to complex stereo-luminance images. Besides improving existing disparity-model applications (e.g., difference metrics or compression), our approach offers new possibilities, such as joint luminance contrast and disparity manipulation or the optimization of auto-stereoscopic content. We validate our results in a user study, which also reveals the advantage of considering luminance contrast and its significant impact on disparity manipulation techniques.