• Proceedings of the IEEK Conference
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• 2003.11a
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• pp.199-202
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• 2003

In this paper, we propose a new 3D coding method for heterogeneous systems over enhanced Access Grid (e-AG) with 3D display using spatio-temporal scalability. The proposed encoder produces four bit-streams: one base layer and enhancement layer l, 2 and 3. The base layer represents a video sequence for left eye with lower spatial resolution. An enhancement layer l provides additional bit-stream needed for reproduction of frames produced in base layer with full resolution. Similarly, the enhancement layer 2 represents a video sequence for right eye with lower spatial resolution and an enhancement layer 3 provides additional bit-stream needed for reproduction of its reference pictures with full resolution. In this system, temporal resolution reduction is obtained by dropping B-frames in the receiver according to network condition. The receiver system can select the spatial and temporal resolution of video sequence with its display condition by properly combining bit-streams.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.3
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• pp.1-5
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• 2009

Purpose: The aim of this study is to grasp domestic eyewear trends in 2008 with analyzing brands, types, materials, colors and styles of new eyewear products. Methods: Examined all new eyewear products which were on three magazines related with eyewear published in Korea; "안경계", "Eye 11" and "THE AXIS". Results: There are 103 companies, 182 brands in 3 magazines related eyewear published in 2008. There are 77 domestic brands and 105 imported brands, and there are 522 eyeglasses and 126 sunglasses. Material of eyeglasses make up 37.93% of combination frames, 33.14% of metal frames and 28.93% of plastic frames and material of sunglasses make up 50.79% of plastic frames, 30.95% of combination frames and 18.25% of metal frames. From a style point of view, there are lots of retro and casual styles which one can express one's individuality with. In terms of colors, basic colors such as black and gray are mainstream and pastel tones and vivid tones are mainly used as the point color. Conclusions: The results of analyzing new eyewear products show that many light and feeling good products such as thin plate frames, TR frames and thin plate-TR combination frames were released in case of domestic eyewear products. In case of imports, there are lots of simple Ti frames and acetate frames which were variety patterns and colors.

• The Korean Journal of Vision Science
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• v.20 no.4
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• pp.461-468
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• 2018

Purpose : Tourmaline, a natural ore material, was applied to the entire eyeglasses to observe changes in intraocular pressure (IOP), one of the factors related to human ocular metabolism. Methods : After making eyeglass frames by mixing TR-90, which is the main material of eyeglass frames and 7wt% of tourmaline, The changes of intraocular pressure before and after wearing of tourmaline spectacle frames were divided into low, middle and high groups according to the intraocular pressure in 90 normal subjects (46 men and 44 women) in their 20s. Results : Total intraocular pressure was a significantly decreased to -4.14% (p<0.000) in the right eye after wearing tourmaline frames, and significantly decreased to -6.39 % (p<0.000) and -4.64 % (p<0.017) in the High and Middle groups, respectively. Total intraocular pressure was a significantly decreased to -2.74 % (p<0.004) in the left eye, and -4.58 % (p<0.000) in the High group only showed statically significant value. Conclusion : In this study, the spectacle frame containing 7wt% tourmaline was used and it was confirmed that the intraocular pressure was significantly decreased after wearing the spectacle frame, and it became close to the average value of the normal intraocular pressure range. The results of this study showed that tourmaline, which has the effect of promoting the metabolism and blood circulation of the body, has an effect on the normalization of the intraocular pressure by attaching it to the spectacle frame.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.3
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• pp.162-168
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• 2013

This paper examines the implementation of automatic compensation modules for digital camera image when a person is closing his/her eyes. The modules detect the face and eye region and then recognize the eye state. If the image is taken when a person is closing his/her eyes, the function corrects the eye and produces the image by using the most satisfactory image of the eye state among the past frames stored in the buffer. In order to recognize the face and eye precisely, the pre-process of image correction is carried out using SURF algorithm and Homography method. For the detection of face and eye region, Haar-like feature algorithm is used. To decide whether the eye is open or not, similarity comparison method is used along with template matching of the eye region. The modules are tested in various facial environments and confirmed to effectively correct the images containing faces.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.748-757
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• 2021

In this paper, we propose a gaze estimation network in which eye landmark position detection and gaze direction vector estimation are integrated into one deep learning network. The proposed network uses the Stacked Hourglass Network as a backbone structure and is largely composed of three parts: a landmark detector, a feature map extractor, and a gaze direction estimator. The landmark detector estimates the coordinates of 50 eye landmarks, and the feature map extractor generates a feature map of the eye image for estimating the gaze direction. And the gaze direction estimator estimates the final gaze direction vector by combining each output result. The proposed network was trained using virtual synthetic eye images and landmark coordinate data generated through the UnityEyes dataset, and the MPIIGaze dataset consisting of real human eye images was used for performance evaluation. Through the experiment, the gaze estimation error showed a performance of 3.9, and the estimation speed of the network was 42 FPS (Frames per second).

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.41 no.5
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• pp.57-64
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• 2004

We proposed the eye gaze tracking system under natural head movements, which consists of one narrow-view field CCD camera, two mirrors which of reflective angles are controlled and active infra-red illumination. The mirrors' angles were computed by geometric and linear algebra calculations to put the pupil images on the optical axis of the camera. Our system allowed the subjects head to move 90cm horizontally and 60cm vertically, and the spatial resolutions were about 6$^{\circ}$ and 7$^{\circ}$, respectively. The frame rate for estimating gaze points was 10～15 frames/sec. As gaze mapping function, we used the hierarchical generalized regression neural networks (H-GRNN) based on the two-pass GRNN. The gaze accuracy showed 94% by H-GRNN improved 9% more than 85% of GRNN even though the head or face was a little rotated. Our system does not have a high spatial gaze resolution, but it allows natural head movements, robust and accurate gaze tracking. In addition there is no need to re-calibrate the system when subjects are changed.

• Journal of Contemporary Eastern Asia
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• v.20 no.1
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• pp.1-23
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• 2021

With regard to the recent developments in public diplomacy, the increasing fusion of strategic communication appears necessary. China engages in public diplomacy with a strategic purpose to shape its national image abroad. Hosting diplomatic advocacy event is regarded as an instrument with expectations to present reliable and responsible image and promote international collaborations. The present research focuses on the Belt and Road Forum (BRF) in May 2017 with the objective to analyze its outcomes and influence on the international news agenda, news frames, and foreign citizens' comments online. The quantitative content analyses are used to compare the media reports (N=364) and Facebook users' comments on the selected news (N=957) between the US and Pakistan. Results reveal that Pakistani media provided more diverse frames and attributed more positive evaluations to the BRF than the US media. However, Facebook comments expressed more unfavorable opinions toward the BRF and China's image with rare differences between two countries. In conclusion, the BRF has served as an eye-catching advocacy of Chinese foreign policy, as it influenced the news agenda in two selected countries. However, news frames vary due to the differences in media system and the involvement in the BRF. China's public diplomacy practices follow a traditional top-down communication which needs meticulous subdivision of target stakeholders, delicate messaging strategies, and integrated tactics.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.56-63
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• 2007

In this paper, an eye tracking method is presented using a neural network (NN) and mean-shift algorithm that can accurately detect and track user's eyes under the cluttered background. In the proposed method, to deal with the rigid head motion, the facial region is first obtained using skin-color model and con-nected-component analysis. Thereafter the eye regions are localized using neural network (NN)-based tex-ture classifier that discriminates the facial region into eye class and non-eye class, which enables our method to accurately detect users' eyes even if they put on glasses. Once the eye region is localized, they are continuously and correctly tracking by mean-shift algorithm. To assess the validity of the proposed method, it is applied to the interface system using eye movement and is tested with a group of 25 users through playing a 'aligns games.' The results show that the system process more than 30 frames/sec on PC for the $320{\times}240$ size input image and supply a user-friendly and convenient access to a computer in real-time operation.

• The Transactions of the Korea Information Processing Society
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• v.4 no.12
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• pp.3211-3218
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• 1997

This paper addresses an eye location algorithm which is essential process of human face tracking system for natural video-conferencing. In current video-conferencing systems, user's facial movements are restricted by fixed camera, therefore it is inconvenient to users. We Propose an eye location algorithm for automatic face tracking. Because, locations of other facial features guessed from locations of eye and scale of face in the image can be calculated using inter-ocular distance. Most previous feature extraction methods for face recognition system are approached under assumption that approximative face region or location of each facial feature is known. The proposed algorithm in this paper uses no prior information on the given image. It is not sensitive to backgrounds and lighting conditions. The proposed algorithm uses the valley representation as major information to locate eyes. The experiments have been performed for 213 frames of 17 people and show very encouraging results.

• Journal of Integrative Natural Science
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• v.9 no.2
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• pp.155-160
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• 2016

Applying image processing techniques to education, the face of the learner is photographed, and expression and movement are detected from video, and the system which estimates degree of concentration of the learner is developed. For one learner, the measuring system is designed in terms of estimating a degree of concentration from direction of line of learner's sight and condition of the eye. In case of multiple learners, it must need to measure each concentration level of all learners in the classroom. But it is inefficient because one camera per each learner is required. In this paper, position in the face region is estimated from video which photographs the learner in the class by the difference between frames within the motion direction. And the system which detects the face direction by the face part detection by template matching is proposed. From the result of the difference between frames in the first image of the video, frontal face detection by Viola-Jones method is performed. Also the direction of the motion which arose in the face region is estimated with the migration length and the face region is tracked. Then the face parts are detected to tracking. Finally, the direction of the face is estimated from the result of face tracking and face parts detection.