• 치위협보
• /
• s.6
• /
• pp.1-12
• /
• 1996

• The Journal of the Korea Contents Association
• /
• v.18 no.12
• /
• pp.108-117
• /
• 2018

Xiao Quan is a leading documentary portrait photographer in China. He tried to shoot portrait photographs of celebrities in the literary and artistic world. By doing this, he represented their time period. We explored the way Xiao Quan implemented the times they lived in by analyzing their portrait photographs included in . Our research showed that Xiao Quan used images of their living environments, clothes and facial expressions and composition of portraits. Such various methods of creation are a means for the symbolic expressions of their times. This research not only finds the way Chinese documentary portraits are created but also provides an opportunity to increase the value of documentary portraits as historic documents.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.370-370
• /
• 2021

태풍으로 인한 피해를 줄이기 위해 경로, 강도 및 폭풍해일의 사전 예측은 매우 중요하다. 이중, 태풍의 경로와는 달리 강도 및 폭풍해일의 예측에 있어서 바람장은 수치 모델의 초기 입력값으로 요구되기 때문에 정확한 바람장 정보는 필수적이다. 대기 바람장 예측 방법은 크게 해석적 모델링, 라디오존데 측정과 위성 사진을 통한 산출로 구분할 수 있다. Holland의 해석적 모델링은 비교적 적은 입력값이 필요하지만 정확도가 낮고, 라디오존데 측정은 정확도가 높지만 점 측정에 가깝기 때문에 이차원 바람장을 산출하기에 한계가 있다. 위성 사진을 통한 바람장 산출은 위성기술의 고도화로 관측 채널 수 및 시공간 해상도가 크게 증가하고 있기 때문에 다양한 기법들이 개발되고 있다. 본 연구에서는 생성적 적대 신경망 (Generative Adversarial Network, GAN)을 통해 일련의 연속된 과거 적외 채널 위성 사진 흐름의 패턴을 학습시켜 미래 위성 사진을 예측하고, 예측된 연속적인 위성 사진들의 교차상관 (cross-correlation)을 통해 바람장을 산출하였다. GAN을 적용함에 있어 2011년부터 2019년까지 한반도 근방에 접근했던 태풍 중에 4등급 이상인 68개의 태풍의 한 시간 간격으로 촬영된 총 15,683개의 위성 사진을 학습시켜 생성된 이미지들은 실측 위성 사진들과 매우 유사한 것으로 나타났다. 또한, 생성된 이미지들의 교차상관으로 얻어진 바람장 벡터들의 풍향, 풍속, 벡터 일관성 및 수치 모델과의 비교를 통해 각각의 벡터들의 품질 계수를 구하고 정확도가 높은 벡터들만 결과에 포함하였다. 마지막으로 국내 6개의 라디오존데 관측점에서의 실측 벡터와의 비교를 통해 본 연구 결과의 실효성을 검증하였다. 본 연구에서 확장하여, 이와 같이 AI 기법과 이미지 교차상관 기법을 사용하여 얻어진 바람장으로부터 태풍 강도예측에 필요한 요소인 태풍의 눈의 위치, 최고 속도와 태풍 반경을 직접적으로 산출할 수 있고. 이러한 위성 사진을 기반으로 한 바람장은 단순화된 해석적 바람장을 대체하여 폭풍 해일 모델링의 예측 성능 개선에 기여할 것으로 보여진다.

• Journal of Dental Rehabilitation and Applied Science
• /
• v.28 no.3
• /
• pp.301-307
• /
• 2012

50-year-old female and 50-year-old male were referred to the department of the oral and maxillofacial surgery of Kyungpook national university dental hospital with asymptomatic lesions on their posterior mandibular body areas. They were discovered incidentally on panoramic radiographs during routine dental examination. Physical examination revealed no remarkable findings. Each panoramic radiograph showed well defined radiolucent lesions without hyperostotic border on their posterior mandibular body area. At first they were diagnosed as benign tumors because they looked like multilocular pattern and one of the patient showed discontinuity of mandibular canal within the lesion. CT scans demonstrated well demarcated and irregular lingual depression filled with fat tissue and they were diagnosed as developmental salivary gland defects. One of the lesion showed no change on follow-up panoramic radiograph after 4 months. Developmental salivary gland defects resembling benign tumor are atypical cases and it is suggested that confirmatory imaging using CT or MRI should be taken.

• Journal of Dental Rehabilitation and Applied Science
• /
• v.30 no.1
• /
• pp.1-8
• /
• 2014

Purpose: The purpose of this study was to investigate the effect of head position changes on vertical and horizontal magnification in dental panoramic radiographs. Materials and Methods: Five 4 mm metal balls were placed above alveolar crest of dry skull considering extraction socket and dental arch. Panoramic radiographs were taken by OP-100D (Instrumentarium Imaging Co., Tuusula, Finland) at proper and rotated head position along the sagittal and transverse axis at 3 - $20^{\circ}$ upwardly, downwardly, to the left and to the right rotation. Images were stored in DICOM files and were measured by ruler equipped within INFINITT PACS software. Results: The mean horizontal magnification was $1.22{\pm}0.01-1.44{\pm}0.01$ and mean vertical magnification was $1.29{\pm}0.00-1.35{\pm}0.02$ at standard head position. There was statistical significance of horizontal magnification between the anterior ($1.24{\pm}0.02-1.31{\pm}0.03$) and the posterior area ($1.40{\pm}0.03-1.33{\pm}0.02$) (P < 0.05). Vertical magnification resulted in less variation ($1.24{\pm}0.01-1.37{\pm}0.02$) than horizontal magnification ($0.88{\pm}0.03-3.73{\pm}0.16$) according to the rotation. There was statistical significant difference on horizontal magnification (P < 0.05). Conclusion: In rotated head position, the horizontal magnification should be considered because these can cause distortion on panoramic radiographs.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2011.05a
• /
• pp.300-304
• /
• 2011

홍수유출의 특성에 영향을 미치는 요소로는 강우량과 토지이용, 유역의 경사, 유로연장등이 있다. 이중에서도 유출시스템에 영향이 큰 요소중에 하나로서 토지이용상태가 있다. 토지이용은 불변하지 않는 값이며 매년 토지이용상태가 변화하고 있다. 특히 개발의 진행속도가 더욱 빨라지고 있는 현대에서 홍수유출을 산정하는데 있어 최신의 토지이용상태를 반영하는 것은 매우 어려운 일이다. 그러나 현실적으로 실무에서 사용하고 있는 토지이용도는 대부분 10년이상 전의 자료를 사용하고 있는 실정이다. 그러나 인터넷의 발달과 인공위성 자료, 항공사진등의 정보를 구하는 수월해짐에 따라 최신의 지형 및 토지이용의 변화를 반영할 수 있는 방법이 다양해지고 있다. 본 연구에서는 항공사진을 이용하여 토지이용상태를 파악하고 유출계수를 산정하여 유출특성을 비교하였다.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.306-306
• /
• 2015

기존 토사유출실험 연구는 대체로 유출구에서 유사의 총량을 일정한 시간 간격으로 측정했다. 이 같은 방식으로는 총 토사유출량의 시간적 변화는 알 수 있으나, 토사유출의 공간적 분포 변화는 알 수 없기 때문에 토사유출의 취약지점을 파악하고 이를 제시할 수 없다. 본 연구에서는 이러한 한계를 극복하고자 입체사진측량 기법을 도입하여 토사유출의 공간분포를 측정하고 각 지점이 총 토사유출량에 기여하는 정도를 파악하였다. 토조($2m{\times}1m{\times}0.3m$)로부터 약 1.5 m 높이에서 고해상도 디지털 카메라를 이용하여 토조 내 표면을 촬영하였고, 입체사진측량 기법을 이용해 토조 내 수치표고모형(Digital Elevation Models)을 추출하였다. 수치표고모형 추출 과정에서는 고도값의 오차 범위를 확인하였고 격자 해상도를 다양하게 설정하면서 최적의 격자 해상도를 평가해보았다. 최종적으로 구한 일련의 수치표고모형으로부터 토사유출의 시공간적 변화를 파악할 수 있었으며, 이는 토조 내 토사유출 과정에 대한 보다 세밀한 이해를 가져올 것으로 기대된다.

• The Journal of the Korea Contents Association
• /
• v.18 no.9
• /
• pp.34-43
• /
• 2018

The purpose of this study is to develop measurement program model for a human being-oriented product through the between the evaluation factors of portrait and general preferences of portraits. We added new items that are essential to the image evaluation by analysing previous studies. In this study, We identified the facial focus for the first step, and the portraits were evaluated by dividing it into objective and subjective image quality evaluation items. RSC Contrast and Dynamic Range were selected as the Objective evaluation items, and the numerical values of each image could be evaluation items, and the numerical values of each image could be evaluated by statistical analysis method. Facial Exposure, Composition, Position, Ratio, Out of focus, and Emotions and Color tone of image were selected as the Subjective evaluation items. In addition, a new face recognition algorithm is applied to judge the emotions, the manufacturer can get the information that they can analyze the people's emotion. The program developed to quantitatively and qualitatively compiles the evaluation items when evaluating portraits. The program that I developed through this study can be used an analysis program that produce the data for developing the evaluation model of the product more suitable to general users of imaging systems.

• Journal of Convergence for Information Technology
• /
• v.10 no.12
• /
• pp.201-207
• /
• 2020

In this study, the practicality of unmanned aerial vehicle photography information was identified. Therefore, a total of four consecutive surveys were conducted on the field-level survey areas among the areas subject to photography using unmanned aerial vehicles, and the changes in crop conditions were analyzed using pictures of unmanned aerial vehicles taken during each survey. It is appropriate to collect and utilize photographic information by directly taking pictures of the survey area according to the time of the on-site survey using unmanned aerial vehicles in the field layer, which is an area where many changes in topography, crop vegetation, and crop types are expected. And it turned out that it was appropriate to utilize satellite images in consideration of economic and efficient aspects in relatively unchanged rice paddies and facilities. If the survey area is well equipped with systems for crop cultivation, deep learning can be utilized in real time by utilizing libraries after obtaining photographic data for a certain area using unmanned aircraft in the future. Through this process, it is believed that it can be used to analyze the overall crop and shipment volume by identifying the crop status and surveying the quantity per unit area.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.17 no.4
• /
• pp.321-330
• /
• 1999

Automation of observation and positioning of fiducial marks is made possible with the application of image matching technique, developed through the cooperative research effort of computer vision and digital photogrammetry. The major problem in such automation effort is to minimize the computing time and to increase the positional accuracy. Except for scanning and ground control surveying, the interior orientation process was automated in this study, through the development of an algorithm which applies the image matching and image processing techniques. The developed system was applied to close-range photogrammetry and the analysis of the results showed 54% improvement in processing time. For fiducial mark observation during interior orientation, the Laplacian of Gaussian transformation and the Hough transformation were applied to determine the accurate position of the center point, and the correlation matching and the least squares matching method were then applied to improve the accuracy of automated observation of fiducial marks. Image pyramid concept was applied to reduce the computing time of automated positioning of fiducial mark.