• 한국측량학회지
• /
• 제37권5호
• /
• pp.315-322
• /
• 2019

DSM (Digital Surface Model) is a digital representation of ground surface topography or terrain that is widely used for hydrology, slope analysis, and urban planning. Aerial photogrammetry and LiDAR (Light Detection And Ranging) are main technology for urban DSM generation but high-resolution satellite imagery is the only ingredient for remote inaccessible areas. Traditional automated DSM generation method is based on correlation-based methods but recent study shows that a modern pixelwise image matching method, SGM (Semi-Global Matching) can be an alternative. Therefore this study investigated the application of SGM for Kompsat satellite data of KARI (Korea Aerospace Research Institute). Firstly, the sensor modeling was carried out for precise ground-to-image computation, followed by the epipolar image resampling for efficient stereo processing. Secondly, SGM was applied using different parameterizations. The generated DSM was evaluated with a reference DSM generated by the first pulse returns of the LIDAR reference dataset.

• International journal of advanced smart convergence
• /
• 제13권1호
• /
• pp.85-91
• /
• 2024

Currently, generative artificial intelligence is a hot topic around the world. Generative artificial intelligence creates various images, art, video clips, advertisements, etc. The problem is that it is very difficult to verify the internal work of artificial intelligence. As a requirements engineer, I attempt to create a toon image by applying linguistic mechanisms to the current issue. This is combined with the UML object model through the semantic role analysis technique of linguists Chomsky and Fillmore. Then, the derived properties are linked to the toon creation template. This is to ensure productivity based on reusability rather than creativity in toon engineering. In the future, we plan to increase toon image productivity by incorporating software development processes and reusability.

• 소성∙가공
• /
• 제32권6호
• /
• pp.321-328
• /
• 2023

To ensure driver safety, high-strength steel pipes are utilized in the chassis and internal structures design of automobiles. ERW(electric resistance welding) pipes, fabricated through welding at joints using electrical resistance, form a Heat-Affected Zone (HAZ) during the welding process. Due to characteristics such as increased hardness and reduced ductility compared to the base material, HAZ poses challenges in finite element analysis (FEA) for pipe shapes. In this study, for FEA considering HAZ properties, mechanical properties were measured through uniaxial tensile testing and digital image correlation (DIC) techniques after specimen fabrication. These measurements were validated using reverse engineering methods. Furthermore, hardness measurements and gaussian functions were employed to ascertain the hardness distribution within the HAZ, serving as a basis for subdividing the HAZ and modeling the pipe shape. To validate the effectiveness of the HAZ modeling approach, models were interpreted incorporating only base material properties and models incorporating average-calculated HAZ properties. Comparative analysis was performed, revealing that the model subdividing the HAZ based on hardness measurements closely approximated experimental values. This validation offered a methodology for HAZ modeling in FEA.

• 한국정보처리학회논문지
• /
• 제5권12호
• /
• pp.3275-3284
• /
• 1998

본 논문에서는 각종 단층 촬영 의료영상 장비로 촬영한 2차원 단면화상 데이터들을 차원 재구성 알고리즘을 사용하여 3차원 영상으로 재구성한 다음, 웹 서버의 데이터베이스에 저장하고 관리하며, 인터넷 가상현실 표준언어인 VRML(Virtual Reality Modeling Language)로 표현된 3차원 의료영상을 비롯한 각종 의료영상 정보를 웹브라우저를 사용하여 검색해 볼 수 있는 의료영상정보시스템(Medical Image Information System)에 관하여 기술한다. 본 연구를 통하여 개발한 의료영상정보시스템에서는 단층 촬영된 2차원 단면화상을 처리한 다음, 3차원 의료 영상을 생성하기 위하여 표면기반 랜더링 방법(Surface-based Rendering Method)을 사용하였다. 인터넷을 통하여 전송되는 영상파일의 크기를 줄이기 위하여 삼각형 매쉬(Triangle Meshes)을 이루는 다각형의 개수를 줄이는 알고리즘을 사용하며, 3차원 의료영상 데이터의 크기를 약 50%이상 줄일 수 있다. 아울러, 3차원 영상 데이터 파일을 압축을 하게 되면 파일의 크기를 80%이상 줄일 수 가 있으므로 웹상에서 신속하게 3차원 의료영상 데이터를 검색할 수 있고, 의료영상을 VRML을 사용하여 표현하므로 고성능의 그래픽 카드가 없는 일반 PC에서도 인터넷을 통하여 디스플레이 할 수 있다. 또한, CGI(Common Gateway Interface)방식을 사용하여 서버의 데이터베이스에 저장되어 있는 CT(Computerized Tomography), MRI(Magnetic Resonance Imaging), PET(Positron Emission Tomography), SPECT(Single Photon Emission Computed Tomography)등의 단층 촬영 장비로 촬영한 다양한 종류의 디지털 의료영상을 사용자에게 의료영상정보시스템을 통하여 2차원 단면화상 또는 3차원 영상으로 표현하여 보여주고, 환자에 관한 각종 정보와 진단정보 등을 신속하게 제공한다. 본 논문에서 제안하는 의료영상정보시스템은 초고속 정보통신 망을 통하여 원격의료시스템을 구축하는데 활용될 수 있을 것이다.

• 한국CDE학회지
• /
• 제7권3호
• /
• pp.41-46
• /
• 2001

영상기반 모델링 및 렌더링은 1990년대 초반 이후 집중적으로 연구되기 시작한 분야로, 영상 자체를 입력으로 하여 출력 영상을 생성하여 자연스럽게 photorealism을 달성할 수 있고, scene의 복잡도에 무관한 렌더링을 가능케 한다. 본 논문은 파노라마 렌더링, light field 렌더링, LDI 렌더링을 중심으로 지난 10년 간에 걸친 영상깁ㄴ 모델링 및 렌더링의 연구 성과를 개괄한다.

• 대한전자공학회:학술대회논문집
• /
• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
• /
• pp.211-214
• /
• 2002

A novel structuring element for the morphological filter is proposed in order to detect a small target at a long distance. The modeling of the structuring element is based on the real data and implemented by parametric model approach. Several synthetic

• 한국측량학회지
• /
• 제33권6호
• /
• pp.557-567
• /
• 2015

With the increasing demands of 3D spatial information in urban environment, the importance of point clouds generation techniques have been increased. In particular, for as-built BIM, the point clouds with the high accuracy and density is required to describe the detail information of building components. Since the terrestrial LiDAR has high performance in terms of accuracy and point density, it has been widely used for as-built 3D modelling. However, the high cost of devices is obstacle for general uses, and the image-based 3D reconstruction technique is being a new attraction as an alternative solution. This paper compares the image-based 3D reconstruction technique and the terrestrial LiDAR in point of establishing the as-built BIM of outdoor structures. The point clouds generated from the image-based 3D reconstruction technique could roughly present the 3D shape of a building, but could not precisely express detail information, such as windows, doors and a roof of building. There were 13.2~28.9 cm of RMSE between the terrestrial LiDAR scanning data and the point clouds, which generated from smartphone and DSLR camera images. In conclusion, the results demonstrate that the image-based 3D reconstruction can be used in drawing building footprint and wireframe, and the terrestrial LiDAR is suitable for detail 3D outdoor modeling.

• 한국정밀공학회지
• /
• 제30권9호
• /
• pp.991-999
• /
• 2013

Lower limbs deformity is a congenital disease and can also be occurred by an acquired factor. This paper suggests a new technique for surgical planning of Corrective Osteotomy for Lower Limbs (COLL) using 2D-3D medical image registration. Converting to a 3D modeling data of lower limb based on CT (computed tomography) scan, and divide it into femur, tibia and fibula; which composing the lower limb. By rearranging the model based on the biplane 2D images of X-ray data, a 3D upright bone structure was acquired. There are two ways to array the 3D data on the 2D image: Intensity-based registration and feature-based registration. Even though registering Intensity-based method takes more time, this method will provide more precise results, and will improve the accuracy of surgical planning.

• 한국측량학회지
• /
• 제26권3호
• /
• pp.227-239
• /
• 2008

항공 레이저 스캐닝(ALS) 시스템으로부터 획득한 LiDAR 데이터를 미용하여 3차원 객체 모델링과 지형도 제작을 위해서는 데이터의 기하학적 및 의미적인 분할과 같은 체계적인 데이터 처리가 선행되어야 한다. ALS로 부터 활용 가능한 LiDAR 데이터를 획득하기 위해서는 GPS, INS 및 레이저 스캐너 데이터의 통합이 필수적이다. 본 연구에서는 건물추출과 지붕 구조물 분할을 위해서 LiDAR 데이터를 영상화하여 디지털 영상처리 기법을 적용하였다. 영상화된 데이터를 사용하는 주요 장점 중 하나는 기존의 다양한 영상처리 알고리즘을 사용할 수 있다는 점이다. 격자화 및 정량화를 거치는 영상화 과정에서 원시 LiDAR 데이터가 한정된 밝기값으로 변환되므로 평활화 및 상세 정보의 손실이 발생될 수 있지만. 평활화된 데이터는 표면분할과 모델링에 오히려 적합하다. 건물의 경계선은 윤곽선 추출 연산자를 이용하여 정확하게 추출하였으며, 건물 모양에 적합하도록 규격화하였다. 건물 지붕의 구조물의 분할은 영역확산을 기반으로 수행하였다. 이 결과 다양한 디지털 영상처리 기법을 복합적으로 적용하여 건물추출과 지붕 구조물의 면분할이 가능함을 보여주었다. 또한 지붕의 형태를 재현하기 위한 특성정보 추출에 관한 개념적 방법을 제안하였다. 지붕 데이터를 분할하고 모델링을 위해 통계적 및 기하적 특성을 이용하였으며. 제안한 방법에 의한 시뮬레이션 결과는 지붕면을 분할하고 모델링하는데 가능함을 보여주고 있다.

• ETRI Journal
• /
• 제32권6호
• /
• pp.881-890
• /
• 2010

Conventional fire detection systems use physical sensors to detect fire. Chemical properties of particles in the air are acquired by sensors and are used by conventional fire detection systems to raise an alarm. However, this can also cause false alarms; for example, a person smoking in a room may trigger a typical fire alarm system. In order to manage false alarms of conventional fire detection systems, a computer vision-based fire detection algorithm is proposed in this paper. The proposed fire detection algorithm consists of two main parts: fire color modeling and motion detection. The algorithm can be used in parallel with conventional fire detection systems to reduce false alarms. It can also be deployed as a stand-alone system to detect fire by using video frames acquired through a video acquisition device. A novel fire color model is developed in CIE $L^*a^*b^*$ color space to identify fire pixels. The proposed fire color model is tested with ten diverse video sequences including different types of fire. The experimental results are quite encouraging in terms of correctly classifying fire pixels according to color information only. The overall fire detection system's performance is tested over a benchmark fire video database, and its performance is compared with the state-of-the-art fire detection method.