Design of an Optical See-through Multi-Focal-Plane Stereoscopic 3D Display With Eye-tracking Ability

Author(s):  
Hekun Huang ◽  
Hong Hua
2016 ◽  
Vol 24 (11) ◽  
pp. 657-668 ◽  
Author(s):  
Daichi Suzuki ◽  
Shuji Hayashi ◽  
Yosuke Hyodo ◽  
Shinichiro Oka ◽  
Takeo Koito ◽  
...  

Author(s):  
Seok Lee ◽  
Juyong Park ◽  
Dongkyung Nam

In this article, the authors present an image processing method to reduce three-dimensional (3D) crosstalk for eye-tracking-based 3D display. Specifically, they considered 3D pixel crosstalk and offset crosstalk and applied different approaches based on its characteristics. For 3D pixel crosstalk which depends on the viewer’s relative location, they proposed output pixel value weighting scheme based on viewer’s eye position, and for offset crosstalk they subtracted luminance of crosstalk components according to the measured display crosstalk level in advance. By simulations and experiments using the 3D display prototypes, the authors evaluated the effectiveness of proposed method.


2016 ◽  
Vol 370 ◽  
pp. 68-74 ◽  
Author(s):  
Xin Gao ◽  
Xinzhu Sang ◽  
Xunbo Yu ◽  
Duo Chen ◽  
Zhidong Chen ◽  
...  

2021 ◽  
Vol 2021 (2) ◽  
pp. 100-1-100-6
Author(s):  
Andrew J. Woods

Millions of Stereoscopic 3D capable TVs were sold into the consumer market from 2007 through to 2016. A wide range of display technologies were supported including rear-projection DLP, Plasma, LCD and OLED. Some displays supported the Active 3D method using liquid-crystal shutter glasses, and some displays supported the Passive 3D method using circularly polarised 3D glasses. Displays supporting Full-HD and Ultra-HD (4K) resolution were available in sizes ranging from 32" to 86" diagonal. Unfortunately display manufacturers eventually changed their focus to promoting other display technologies and 2016 was the last year that new 3D TVs were made for the consumer market. Fortunately, there are still millions of 3D displays available through the secondhand- market, however it can be difficult to know which displays have 3D display support. This paper will provide a listing of specifically Passive 3D TVs manufactured by LG, however it has been our experience that the 3D quality varied considerably from one display to another hence it is necessary to qualify the quality of the 3D available on these displays using a testing technique that will be described in the paper.


2010 ◽  
Vol 41 (1) ◽  
pp. 128 ◽  
Author(s):  
Cheng-Cheng Pan ◽  
Yo-Ray Lee ◽  
Kun-Feng Huang ◽  
Ta-Chin Huang

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4787
Author(s):  
Dongwoo Kang ◽  
Jingu Heo

This study develops an eye tracking method for autostereoscopic three-dimensional (3D) display systems for use in various environments. The eye tracking-based autostereoscopic 3D display provides low crosstalk and high-resolution 3D image experience seamlessly without 3D eyeglasses by overcoming the viewing position restriction. However, accurate and fast eye position detection and tracking are still challenging, owing to the various light conditions, camera control, thick eyeglasses, eyeglass sunlight reflection, and limited system resources. This study presents a robust, automated algorithm and relevant systems for accurate and fast detection and tracking of eye pupil centers in 3D with a single visual camera and near-infrared (NIR) light emitting diodes (LEDs). Our proposed eye tracker consists of eye–nose detection, eye–nose shape keypoint alignment, a tracker checker, and tracking with NIR LED on/off control. Eye–nose detection generates facial subregion boxes, including the eyes and nose, which utilize an Error-Based Learning (EBL) method for the selection of the best learnt database (DB). After detection, the eye–nose shape alignment is processed by the Supervised Descent Method (SDM) with Scale-invariant Feature Transform (SIFT). The aligner is content-aware in the sense that corresponding designated aligners are applied based on image content classification, such as the various light conditions and wearing eyeglasses. The conducted experiments on real image DBs yield promising eye detection and tracking outcomes, even in the presence of challenging conditions.


2020 ◽  
Vol 1676 ◽  
pp. 012226
Author(s):  
Yingdong Huo ◽  
Jing Zhang ◽  
Ronggang Wang
Keyword(s):  

Author(s):  
Ts. Petrova ◽  
B. Ivanov ◽  
K. Zdravkov ◽  
D. Nazarova ◽  
E. Stoykova ◽  
...  

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