Defragmented image based autostereoscopic 3D displays with dynamic eye tracking

Kim, Sung Kyu; Yoon, Ki-Hyuk; Yoon, Seon Kyu; Ju, Heongkyu

doi:10.1016/j.optcom.2015.08.082

Cited by 12 publications

(3 citation statements)

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“…Among research on diverse three-dimensional (3-D) displays, there have been a lot of studies on the autostereoscopic 3-D display [1][2][3][4][5][6][7][8][9][10] which provides multiview 3-D images. The basic principle of this multiview 3-D display is to provide more than two views by making each view spatially distributed within the viewing zone using an optical structure.…”

Section: Introductionmentioning

confidence: 99%

Correction of distorted 3-D images for misalignment of an optical structure in a multiview 3-D display system

Kwon

Kim

2018

Opt. Eng.

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Abstract. For a multiview three-dimensional (3-D) display system using a two-dimensional (2-D) flat panel display, it is very important to attach accurately an optical plate such as a parallax barrier and a lenticular lens sheet onto a 2-D display panel for the best quality of 3-D images. In most practical cases, however, misalignment occurs since it is too difficult to align perfectly in assembly process. In general, angular misalignment results in the deterioration of 3-D image quality by some increase of crosstalk, so that the resulting 3-D images are even distorted as tilted ones. To correct distorted 3-D images, we propose a method to skew 3-D objects before each image for multiviews is taken by multiple cameras. For this, a formula is derived to determine the amount of skewing 3-D objects. And by using it, some experimental results are shown that distorted 3-D images in a misaligned multiview 3-D display system are completely corrected. Since skewing 3-D objects implies a coordinate transformation of 3-D space, this method can be also used in the manipulation of 3-D image data obtained from a depth camera in order to correct the distorted 3-D images caused by angular misalignment. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Correction of distorted 3-D images for misalignment of an optical structure in a multiview 3-D display system

Kwon

Kim

2018

Opt. Eng.

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“…In the case of two views, the margin of the correct viewing area is approximately the distance between the eyes. Even if a viewer moves slightly from the fixed location, the view will transform into a depth-reversed image, referred to as a pseudoscopic image [ 6 ]. Increasing the angular resolution, i.e., the number of views, has been a promising method to overcome this problem [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…To prevent the user’s eyes from moving out of the correct viewing area, the ETAD employs an additional device, e.g., a camera or a depth sensor, for detecting and tracking the eye position of a viewer. Using the eye tracking device, the ETAD ensures that the user’s eyes are always in the correct viewing zones by moving the optical element mechanically [ 12 ], by moving slits on an additional LC display [ 13 , 14 ], or by merging viewing zones into two views around the viewer’s eyes [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Automated Calibration Method for Eye-Tracked Autostereoscopic Display

Hwang

2018

Sensors

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In this paper, we propose an automated calibration system for an eye-tracked autostereoscopic display (ETAD). Instead of calibrating each device sequentially and individually, our method calibrates all parameters of the devices at the same time in a fixed environment. To achieve this, we first identify and classify all parameters by establishing a physical model of the ETAD and describe a rendering method based on a viewer’s eye position. Then, we propose a calibration method that estimates all parameters at the same time using two images. To automate the proposed method, we use a calibration module of our own design. Consequently, the calibration process is performed by analyzing two images captured by onboard camera of the ETAD and the external camera of the calibration module. For validation, we conducted two types of experiments, one with simulation for quantitative evaluation, and the other with a real prototype ETAD device for qualitative assessment. Experimental results demonstrate the crosstalk of the ETAD was improved to 8.32%. The visual quality was also improved to 30.44% in the peak-signal-to-noise ratio (PSNR) and 40.14% in the structural similarity (SSIM) indexes when the proposed calibration method is applied. The whole calibration process was carried out within 1.5 s without any external manipulation.

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