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Salience Guided Depth Calibration for Perceptually Optimized Compressive Light Field 3D Display
- Source :
- CVPR
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Multi-layer light field displays are a type of computational three-dimensional (3D) display which has recently gained increasing interest for its holographic-like effect and natural compatibility with 2D displays. However, the major shortcoming, depth limitation, still cannot be overcome in the traditional light field modeling and reconstruction based on multi-layer liquid crystal displays (LCDs). Considering this disadvantage, our paper incorporates a salience guided depth optimization over a limited display range to calibrate the displayed depth and present the maximum area of salience region for multi-layer light field display. Different from previously reported cascaded light field displays that use the fixed initialization plane as the depth center of display content, our method automatically calibrates the depth initialization based on the salience results derived from the proposed contrast enhanced salience detection method. Experiments demonstrate that the proposed method provides a promising advantage in visual perception for the compressive light field displays from both software simulation and prototype demonstration. National Research Foundation (NRF) Accepted version Dr. WANG Shizheng is financially supported by the Chinese Academy of Science, HundredTalent Program (2018-2020). This work was supported by National Research Foundation Singapore (NRF-CRP11- 2012-01).
- Subjects :
- Three-dimensional Displays
Liquid-crystal display
Visual perception
business.industry
Computer science
Image Color Anaysis
02 engineering and technology
Iterative reconstruction
Stereo display
01 natural sciences
law.invention
Visualization
010309 optics
law
Salience (neuroscience)
0103 physical sciences
Electrical and electronic engineering [Engineering]
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
Light field
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
- Accession number :
- edsair.doi.dedup.....fba22bf5d69b920c28f8c913a19e1509
- Full Text :
- https://doi.org/10.1109/cvpr.2018.00217