• 한국컴퓨터정보학회논문지
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• 제24권11호
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• pp.71-78
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• 2019

현재 상용화된 대부분의 3D 디스플레이는 왼쪽 눈과 오른쪽 눈의 입력영상을 다르게 만들어 입체감을 만드는 양안시차 방식을 적용하고 있다. 하지만 상용화된 3D 영상 출력 장치는 성능 부족에 의한 시청자의 불편 유발과 시청위치의 제약 등의 문제들이 있다. 본 논문에서는 기존 Dual-cell 구조 대비 시야각, Crosstalk 감소, 광투과도를 향상할 수 있는 Single-cell 구조의 편광안경식 입체영상 시스템을 개발하고, 투과도 실험과 시야각 평가를 통해 Single-cell 구조의 편광안경식 입체영상 시스템 특성분석과 Dual-cell 구조 대비 성능향상 효과 분석을 진행하였다. 분석 결과 Single-cell 구조가 Dual-cell 구조 대비 투과도 부분에서 약 25% 이상의 높은 성능을 보이며, 시야각 평가 중 입체 영상 특성품질의 주요지표인 3D crosstalk 지표는 약 37% 이상 향상되는 것을 확인할 수 있었다.

• 한국멀티미디어학회논문지
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• 제18권3호
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• pp.349-358
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• 2015

Simulating color appearance of makeup effect is an important issue in computer graphics as well as cosmetic industry. Most of previous works on makeup simulation are simple color blending to mimic the cosmetic effects. Some of previous works employed Kubelka-Munk model to accurately simulate the layering effect of cosmetics. However, the simulation limited on single point, and the rest of area are still computed by simple color blending utilizing the color of the single point simulation. This paper presents an image-based method to compute the color appearance effect of makeup application using per-pixel Kubelka-Munk model. Unlike the previous methods, it is possible to compute per-pixel application thickness as well as optical property of cosmetics. The computed thickness pattern can be used in makeup simulation for a more realistic makeup simulation.

• International Journal of Computer Science & Network Security
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• 제24권2호
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• pp.136-142
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• 2024

Haze is a very common phenomenon that degrades or reduces the visibility. It causes various problems where high quality images are required such as traffic and security monitoring. So haze removal from images receives great attention for clear vision. Due to its huge impact, significant advances have been achieved but the task yet remains a challenging one. Recently, different types of deep generative adversarial networks (GAN) are applied to suppress the noise and improve the dehazing performance. But it is unclear how these algorithms would perform on hazy images acquired "in the wild" and how we could gauge the progress in the field. This paper aims to bridge this gap. We present a comprehensive study and experimental evaluation on diverse GAN models in single image dehazing through benchmark datasets.

• 대한기계학회논문집B
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• 제27권11호
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• pp.1534-1541
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• 2003

A new window-based, user-friendly fringe analysis system is developed, especially for analyzing noisy interferograms. The system integrates three major techniques, that is fringe tracking, Phase shifting, and Fourier transform, into a single shell by employing a unified procedure. Since the system is made in a modular fashion and all processing modules can be shared for any technique, a user can select necessary modules and easily edit the applying order of them based on the user's analysis strategy, which should be changed depending on the noise level of the image. The system provides a high-level GUI and a variety of image handling tools and therefore users can easily access the system and produce the optimal results without giving up in the middle of a process even for severely noise-contaminated interferometric images.

• Geomechanics and Engineering
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• 제35권2호
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• pp.165-179
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• 2023

This study investigates the uplift capacity of a single vertical belled pile buried at shallow depth in dry sand. The laboratory model experiments are conducted with different pile-tip angles and relative densities. In addition, image and FEM analyses are performed to observe the failure surface of the belled pile for different pile-tip angles and relative densities. Accordingly, the uplift capacity and failure angle in the failure surface of the belled pile were found to depend on the belled pile-tip angle and relative density. A predictive model for the uplift capacity of the belled pile was proposed considering the relative density and belled pile-tip angle based on a previous limit equilibrium equation. To validate the applicability of the proposed model, the values calculated using the proposed and previous models were compared to those obtained through a laboratory model experiment. The proposed model had the best agreement with the laboratory model experiment.

• 한국의상디자인학회지
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• 제23권2호
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• pp.105-114
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• 2021

This study aims to evaluate the differences in visual images due to the variations in the silhouette and jacket type of men's suits. Six samples were used for this study: 3 examples had variations in the silhouette while 2 variations were in the jacket type. They were evaluated using a 7-point rating scale and a survey was conducted among 80 fashion students. The data was analyzed by Factor Analysis, ANOVA, Scheffé Test, and the MCA method. This study's results are as follows: 1) According to Factor Analysis, the components of visual evaluation by the silhouette and the jacket type of men's suit were classified into: attractiveness, masculinity, practicality, and naturalness. Among these factors, attractiveness and masculinity were evaluated to be the most important factors. 2) Men's suits with a single-breasted jacket had a simple and practical images in fitted and boxy silhouettes. Double-breasted jacket suits showed sexy, refined, and chic images in the fitted and slim silhouettes, and expressed an adult, profound, and conservative images in the boxy and fitted silhouettes. 3) The silhouette and the jacket type of men's suit interacted with masculinity and the practicality. Fitted and slim silhouette suits had different images that looked adult, profound, and conservative depending on the jacket type, but the boxy silhouette suit did not show the same effect. 4) According to the MCA on the attractiveness and the naturalness, the jacket type affected the visual image of men's suit more than the silhouette. Double-breasted jacket suits had more sexy, refined, and chic image than the single-breasted jacket suits. Men's suits with a single-breasted jacket had a more comfortable and natural image than those with a double breasted jacket.

• 정보처리학회논문지B
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• 제16B권6호
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• pp.451-462
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• 2009

최근 고해상도 위성 영상의 보급에 따라 이를 활용한 서비스가 증가하고 있다. 특히, $Google\;Earth^{TM}$와 $Virtual\;Earth^{TM}$와 같은 전 지구 차원 의 3차원 가시화 서비스나 최근 일부 도시에 대하여 제공되고 있는 3차원 GIS 서비스는 지형과 지물에 대한 사실적인 기하정보를 제공하고 있다. 이러한 서비스들은 도시 개발 계획의 수립, 도로망의 개선, 엔터테인먼트 사업, 군사 시뮬레이션, 재난 및 재해 관리 등의 다양한 분야에 활용이 가능하다. 이러한 활용을 위해서는 고해상도 위성 영상을 이용하여 지형 및 지물 정보를 효과적으로 추출하는 연구가 요구된다. 본 논문 에서는 단일 위성 영상으로부터 건물의 3차원 모델을 추출하기 위한 요구사항을 살펴본 뒤 이를 기반으로 효과적인 모델 추출을 위한 시스템 을 제안한다. 제안하는 시스템은 영상의 특징 정보와 건물, 위성, 태양의 기하 관계를 이용하여 최소한의 사용자 조작으로 건물의 3차원 모델을 추출한다. 마지막으로 실제 위성 영상으로부터 건물의 3차원 모델 추출을 수행하고 효과적으로 3차원 모델을 획득할 수 있음을 보인다.

• 한국광학회지
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• 제13권3호
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• pp.258-265
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• 2002

본 논문에서는 단매와 대칭 2매로 구성된 DOE렌즈를 1/3인치 이미지 센서(크기 4.8mm $\times$ 3.6mm)에 대해 F/2.8, 전장길이(이미지 면 포함 거리) 6.8mm로 최적 설계하였고 그 광학성능 및 각종 특성치들을 비교, 분석하였다. 그 결과 단매 DOE렌즈의 단점으로 여겨지는 유효직경 내의 많은 회절링의 수, 설계차수 외로 파장별 회절되는 광에 의해 화면에 나타나는 플레어 및 색번짐, 큰 왜곡수차 등을 대칭 2매의 렌즈를 사용함에 의해 최소가 되도록 할 수 있었다.

• Nuclear Engineering and Technology
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• 제54권6호
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• pp.1982-1990
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• 2022

The purpose of this study was to verify the possibility of fuel rod pattern analysis in a fresh fuel assembly using the Yonsei single-photon emission computed tomography (YSECT) system. The YSECT system consisted of three main parts: four trapezoidal-shaped bismuth germanate scintillator-based 64-channel detectors, a semiconductor-based multi-channel data acquisition system, and a rotary stage. In order to assess the performance of the prototype YSECT, tomographic images were obtained for three representative fuel rod patterns in the 6 × 6 array using two representative image-reconstruction algorithms. The fuel-rod patterns were then assessed using an in-house fuel rod pattern analysis algorithm. In the experimental results, the single-directional projection images for those three fuel-rod patterns well discriminated each fuel-rod location, showing a Gaussian-peak-shaped projection for a single 10 mm-diameter fuel rod with 12.1 mm full-width at half maximum. Finally, we successfully verified the possibility of the fuel rod pattern analysis for all three patterns of fresh fuel rods with the tomographic images obtained by the rotational YSECT system.

• 전기학회논문지
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• 제66권7호
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• pp.1117-1122
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• 2017

Pedestrian detection is a very important and valuable part of artificial intelligence and computer vision. It can be used in various areas for example automatic drive, video analysis and others. Many works have been done for the pedestrian detection. The accuracy of pedestrian detection on multiple pedestrian image has reached high level. It is not easily get more progress now. This paper proposes a new structure based on the idea of HOG and convolutional filters to do the pedestrian detection in single pedestrian image. It can be a method to increase the accuracy depend on the high accuracy in single pedestrian detection. In this paper, we use Multiblock HOG and magnitude of the pixel as the feature and use convolutional filter to do the to extract the feature. And then use NEWFM to be the classifier for training and testing. We use single pedestrian image of the INRIA data set as the data set. The result shows that the Convolutional Multiblock HOG we proposed get better performance which is 0.015 miss rate at 10-4 false positive than the other detection methods for example HOGLBP which is 0.03 miss rate and ChnFtrs which is 0.075 miss rate.