• 방송공학회논문지
• /
• 제9권2호
• /
• pp.119-130
• /
• 2004

We have developed a prototype super-high-definition (SHD) digital cinema distribution system that can store, transmit, and display eight-million-pixel motion pictures that have the image quality of a 35-mm film movie. The system contains a movie server, a real-time decoder, and an SHB projector. Using a Gigabit Ethernet link and TCP/IP, the server transmits JPEG2000 compressed motion picture data streams to the decoder at transmission speeds as high as 300 Mbps. The received data streams are decompressed by the decoder, and then projected onto a screen via the projector. By using an enlarged TCP window, multiple TCP streams, and a shaping function to control the data transmission quantity, we achieved real-time streaming of SHD movie data at about 300 Mbps between Chicago and Los Angeles, a distance of more than 3000 km. We also improved the decoder performance to show movies with Image qualities of 450 Mbps or higher. Since UDP is more suitable than TCP for fast long-distance streaming, we have developed an SHD digital cinema UDP relay system, in which UDP is used for transmission over a fast long-distance network. By using four pairs of server-side-proxy and decoder-side-proxy, 450-Mbps movie data streams could be transmitted.

• 대한기계학회논문집A
• /
• 제25권5호
• /
• pp.841-849
• /
• 2001

The pixel information of the object was obtained sequentially and pixels were clustered to a label by the line labeling method. Feature points were determined by finding the slope for edge pixels after selecting the fixed number of edge pixels. The slope was estimated by the least square method to reduce the detection error. Once a matching point was determined by comparing the feature information of the object and the pattern, the parameters for translation, scaling and rotation were obtained by selecting the longer line of the two which passed through the matching point from left and right sides. Finally, modified Hausdorff Distance has been used to identify the similarity between the object and the given pattern. The multi-label method was developed for recognizing the patterns with more than one label, which performs the modified Hausdorff Distance twice. Experiments have been performed to verify the performance of the proposed algorithm and method for simple target image, complex target image, simple pattern, and complex pattern as well as the partially hidden object. It was proved via experiments that the proposed image matching algorithm for recognizing the object had a good performance of matching.

• 한국산업융합학회 논문집
• /
• 제24권6_2호
• /
• pp.753-762
• /
• 2021

Google provides mapping services using satellite imagery, this is widely used for the study. Since about 20 years ago, research and business using drones have been expanding. Pix4D is widely used to create 3D information models using drones. This study compared the distance error by comparing the result of the road construction site with the DSM data of Google Earth and Pix4 D. Through this, we tried to understand the reliability of the result of distance measurement in Google Earth. A DTM result of 3.08 cm/pixel was obtained as a result of matching with 49666 key points for each image. The length and altitude of Pix4D and Google Earth were measured and compared using the obtained PCD. As a result, the average error of the distance based on the data of Pix4D was measured to be 0.68 m, confirming that the error was relatively small. As a result of measuring the altitude of Google Earth and Pix4D and comparing them, it was confirmed that the maximum error was 83.214m, which was measured using satellite images, but the error was quite large and there was inaccuracy. Through this, it was confirmed that there are difficulties in analyzing and acquiring data at road construction sites using Google Earth, and the result was obtained that point cloud data using drones is necessary.

• 디지털융복합연구
• /
• 제20권4호
• /
• pp.513-518
• /
• 2022

지난 2년간 코로나 19로 인한 사회의 모든 분야가 저발전을 이루고, 많은 피해를 입었다. 특히 사람간의 모임제안, 간격유지로 연구 분야에서 일하고 있는 많은 사람들은 특히 더 아무것도 할 수 없는 상황이었다. UX Design을 통한 코로나 19 사회에서 사람들의 사회적거리두기 방법 분석을 통해 정부거리 지침에 맞는 간격을 유지 할 수 있는 거리유지 장치를 개발하는 것이 본 연구의 목적이다. 거리유지 장치 개발을 위해 초음파거리감지센서와 배터리, 충전방식, 거리표시방식, 등의 UI 디자인에 관한 연구를 통해 LED의 색상의 변화로 거리를 표현한다. 본 연구의 방법은 거리유지 장치의 외형을 3D로 디자인하고 3D 프린터를 통해 프로토타입을 출력하여 초음파거리감지 센서, 네오픽셀모듈, 그리고 아두이노 설치를 통해 장치를 개발하고, 이것을 테스트 하여 코로나 19로부터 사회적거리두기의 실천을 돕는 실제 제품을 개발하는 것이다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2006년도 하계종합학술대회
• /
• pp.403-404
• /
• 2006

In this paper, we proposed muli-dimensional feature vector matching method combined with disparity smoothness constraint. The smoothness constraint was calculated using the difference between disparity of center pixel and those of 4-neighbor pixels. By applying proposed algorithm to IKONOS satellite stereo imagery, we obtained robust stereo matching result in urban areas.

• 한국방사선학회논문지
• /
• 제15권5호
• /
• pp.749-754
• /
• 2021

적은 수의 광센서를 사용한 PET 검출기의 섬광 픽셀과 광센서의 매칭 비율을 최대화하기 위해 다양한 섬광 픽셀의 배열과 4개의 광센서를 사용하였다. 섬광 픽셀의 배열은 6 × 6에서부터 11 × 11까지 여섯 케이스로 구성하였다. 광센서간의 간격은 모든 섬광 픽셀에서 동일하게 적용하였으며, 섬광 픽셀의 크기를 줄여 배열을 확장하였다. 설계한 PET 검출기들의 평면 영상 획득을 위해 빛 시뮬레이션이 가능한 DETECT 2000을 사용하였다. 각 섬광 픽셀 배열의 중심에서 소멸방사선과 섬광 픽셀의 상호작용을 통해 생성된 빛을 발생시켜, 4개의 광센서를 통해 빛을 검출한 후 평면 영상을 재구성하였다. 재구성한 평면 영상을 통해 모든 섬광 픽셀들이 구분이 가능한 최대의 배열을 찾았다. 그 결과 8 × 8 섬광 픽셀 배열의 평면 영상에서 모든 섬광 픽셀들이 구분이 가능하였으며, 9 × 9 섬광 픽셀 평면 영상에서부터는 가장자리 두 섬광 픽셀들이 서로 겹쳐 영상에 나타났다. 이때의 섬광 픽셀과 광센서의 매칭 비율은 16:1이었다. 본 검출기를 사용하여 PET 시스템을 구성할 경우, 사용하는 광센서의 수가 감소되고 이에 따른 신호처리 회로의 간소화를 통해 전체 시스템의 비용을 감소시킬 것으로 기대된다.

• 방송공학회논문지
• /
• 제26권3호
• /
• pp.283-295
• /
• 2021

본 논문은 자기 조직화 지도 기법을 기반으로 라이다 기반으로 생성된 깊이 맵과 컬러 이미지의 정보를 기반으로 고밀도 깊이 맵을 생성하는 방법을 제안한다. 제안하는 깊이 맵 업샘플링 방법은 라이다에서 취득되지 않은 공간에 대한 초기 깊이 예측 단계와 초기 깊이 필터링 단계로 구성된다. 초기 깊이 예측 단계에서는 두 장의 컬러 이미지에 대해 스테레오 매칭을 수행하여 초기 깊이 값을 예측한다. 깊이 맵 필터링 단계에서는 예측된 초기 깊이 값의 오차를 감소시키고자 예측 깊이 픽셀에 대하여 주변의 실측 깊이 값을 이용하여 자기 조직화 지도 기법을 수행한다. 자기 조직화 기법 수행 시 예측 깊이 픽셀과 실측 깊이 픽셀의 거리와, 각 픽셀에 대응되는 컬러 값의 차이에 따라 가중치를 결정한다. 본 논문에서는 성능 비교를 위하여 깊이 맵 업샘플링 방법으로 널리 사용되고 있는 양방향 필터 및 k-최근접 이웃 알고리즘과 비교를 진행하였다. 제안하는 방법은 양방향 필터 방법 및 k-최근접 이웃 알고리즘 대비 MAE 관점에서 각각 약 6.4%, 8.6%이 감소하였고 RMSE 관점에서 각각 약 10.8%, 14.3%이 감소하였다.

• 한국군사과학기술학회지
• /
• 제20권5호
• /
• pp.708-716
• /
• 2017

We deal with the target selection in seeker-detection image through network, using the detection information from aerial vehicle and the target information from surveillance and reconnaissance system. Especially, we constrain the sea battle environment, where it is difficult to perform scene-matching rather than land. In this paper, we suggest the target selection algorithm based on the confidence estimation with respect to distance and size. In detail, we propose the generation method of reference point for distance evaluation, and we investigate the effect of pixel margin and target course for size evaluation. Finally, the proposed algorithm is simulated and analyzed through several scenarios.

• 조명전기설비학회논문지
• /
• 제24권12호
• /
• pp.122-130
• /
• 2010

This paper presents an active ranging system based on laser structured-light image. The structured-light image processing is computationally efficient in comparison with the conventional stereo image processing, since the burdensome correspondence problem is avoidable. In order to achieve robustness against environmental illumination noise, an efficient image processing algorithm, i.e., integration of difference images with structured-light modulation is proposed. Distance equation from the measured structured light pixel distance and system parameter calibration are addressed in this paper. Experiments and analysis are carried out to verify performance of the proposed ranging system.

• 전자공학회논문지C
• /
• 제35C권7호
• /
• pp.101-108
• /
• 1998

In this paper, after we got to realized FDNN (fuzzy decision neural network) applied the quantization triangularity fuzzy function to DBNN(decision based neural network) of a hierarchical structure for image process, we could esign hardware of the realized FDNN. Also it is normalized the standard image and the input image as the same size. We are applied DWW algorithm which selected the closest value with finding similarity of an interval image by this distance to FDNN. So we could calulated in terms of distance to weight of pixel which composed two image and eliminated the nise of image, minimized the lost of information, obtained the optimal information. It is designed hardware of high speed weighted FDNN using COMPASS tool. Aslo, the total circuit is realized as gates of 61,000 and could show to superiority of FDNN using the simulation.