• 제목/요약/키워드: 영상 특징 모델링

검색결과 157건 처리시간 0.03초

A Semi-Automatic Building Modeling System Using a Single Satellite Image (단일 위성 영상 기반의 반자동 건물 모델링 시스템)

  • Oh, Seon-Ho;Jang, Kyung-Ho;Jung, Soon-Ki
    • The KIPS Transactions:PartB
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    • 제16B권6호
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    • pp.451-462
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    • 2009
  • The spread of satellite image increases various services using it. Especially, 3D visualization services of the whole earth such as $Google\;Earth^{TM}$ and $Virtual\;Earth^{TM}$ or 3D GIS services for several cities provide realistic geometry information of buildings and terrain of wide areas. These service can be used in the various fields such as urban planning, improvement of roads, entertainment, military simulation and emergency response. The research about extracting the building and terrain information effectively from the high-resolution satellite image is required. In this paper, presents a system for effective extraction of the building model from a single high-resolution satellite image, after examine requirements for building model extraction. The proposed system utilizes geometric features of satellite image and the geometric relationship among the building, the shadow of the building, the positions of the sun and the satellite to minimize user interaction. Finally, after extracting the 3D building, the fact that effective extraction of the model from single high-resolution satellite will be show.

Understanding Purposes and Functions of Students' Drawing while on Geological Field Trips and during Modeling-Based Learning Cycle (야외지질답사 및 모델링 기반 순환 학습에서 학생들이 그린 그림의 목적과 기능에 대한 이해)

  • Choi, Yoon-Sung
    • Journal of the Korean earth science society
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    • 제42권1호
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    • pp.88-101
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    • 2021
  • The purpose of this study was to qualitatively examine the meaning of students' drawings in outdoor classes and modeling-based learning cycles. Ten students were observed in a gifted education center in Seoul. Under the theme of the Hantan River, three outdoor classes and three modeling activities were conducted. Data were collected to document all student activities during field trips and classroom modeling activities using simultaneous video and audio recording and observation notes made by the researcher and students. Please note it is unclear what this citation refers to. If it is the previous sentence it should be placed within that sentence's punctuation. Hatisaru (2020) Ddrawing typess were classified by modifying the representations in a learning context in geological field trips. We used deductive content analysis to describe the drawing characteristics, including students writing. The results suggest that students have symbolic images that consist of geologic concepts, visual images that describe topographical features, and affective images that express students' emotion domains. The characteristics were classified into explanation, generality, elaboration, evidence, coherence, and state-of-mind. The characteristics and drawing types are consecutive in the modeling-based learning cycle and reflect the students' positive attitude and cognitive scientific domain. Drawing is a useful tool for reflecting students' thoughts and opinions in both outdoor class and classroom modeling activities. This study provides implications for emphasizing the importance of drawing activities.

Eye Tracking and synthesize for MPEG-4 Coding (MPEG-4 코딩을 위한 눈 추적과 애니메이션)

  • Park, Dong-Hee;Bae, Cheol-Soo;Na, Sang-Dong
    • Proceedings of the Korea Information Processing Society Conference
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    • 한국정보처리학회 2002년도 춘계학술발표논문집 (상)
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    • pp.741-744
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    • 2002
  • 본 논문에서는 3D 모델의 눈 변형을 계산하기 위해 검출된 눈 형태를 이용한 눈 움직임 합성 방법을 제안하였다. 얼굴 특징들의 정확한 위치 측정과 추적은 MPEG-4 코딩 시스템을 기반으로 한 고품질 모델 개발에 중요하다. 매우 낮은 비트율의 영상회의 응용에서 시간의 경과에 따라 눈과 입술의 움직임을 정확히 추적하기 위해 얼굴 특징들의 정확한 위치 측정과 추적이 필요하다. 이들의 움직임은 코딩되어지고 원격지로 전송되어 질 수 있다. 애니메이션 기술은 얼굴 모델에서 움직임을 합성하는데 이용되어진다. 본 논문에서는 얼굴 특징 검출과 추적 알고리즘으로 잘 알려지고, 효과적으로 향상시킬 수 있는 휴리스틱 방법을 제안하겠다. 본 논문에서는 눈 움직임의 검출뿐만 아니라 추적, 모델링에도 초점을 두었다.

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Inspection of the Nuclear Fuel Rod Deformation using an Image Processing (영상처리를 이용한 핵연료봉의 변형 검사)

  • Cho, Jai-Wan;Choi, Young-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제47권1호
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    • pp.91-96
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    • 2010
  • In this paper, a deformation measurement technology of the nuclear fuel rod is proposed. The deformation measurement system include high definition CCD or CMOS image sensor, lens, semiconductor laser line beam marker, and optical & mechanical accessories. The basic idea of the deformation measurement is to illuminate the outer surface of the fuel rod with collimated laser line beam at an angle of 45 degrees or higher. The relative motion of the fuel rod in the horizontal direction causes the illuminated laser line beam to move vertically along the surface of the fuel rod. The resulting change of laser line beam position in the surface of the fuel rod is imaged as the parabolic beam in the high definition CCD or CMOS image sensor. From the parabolic beam pattern, the ellipse model is extracted. And the slope of the long and the short axis of the ellipse model is found. The crossing point between the saddle point of the parabolic beam and the long & short axis of the ellipse model is taken as the feature of the deformed fuel rod. The vertical offset between feature points before and after fuel rod deformation is calculated. From the experimental results, $50\;{\mu}m$ inspection resolution is acquired using the proposed method, which is three times enhanced than the conventional criterion ($150\;{\mu}m$) of the guide for the inspection of the nuclear fuel rod.

Non-homogeneous noise removal for side scan sonar images using a structural sparsity based compressive sensing algorithm (구조적 희소성 기반 압축 센싱 알고리즘을 통한 측면주사소나 영상의 비균일 잡음 제거)

  • Chen, Youngseng;Ku, Bonwha;Lee, Seungho;Kim, Seongil;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • 제37권1호
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    • pp.73-81
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    • 2018
  • The quality of side scan sonar images is determined by the frequency of a sonar. A side scan sonar with a low frequency creates low-quality images. One of the factors that lead to low quality is a high-level noise. The noise is occurred by the underwater environment such as equipment noise, signal interference and so on. In addition, in order to compensate for the transmission loss of sonar signals, the received signal is recovered by TVG (Time-Varied Gain), and consequently the side scan sonar images contain non-homogeneous noise which is opposite to optic images whose noise is assumed as homogeneous noise. In this paper, the SSCS (Structural Sparsity based Compressive Sensing) is proposed for removing non-homogeneous noise. The algorithm incorporates both local and non-local models in a structural feature domain so that it guarantees the sparsity and enhances the property of non-local self-similarity. Moreover, the non-local model is corrected in consideration of non-homogeneity of noises. Various experimental results show that the proposed algorithm is superior to existing method.

Efficient Methodology in Markov Random Field Modeling : Multiresolution Structure and Bayesian Approach in Parameter Estimation (피라미드 구조와 베이지안 접근법을 이용한 Markove Random Field의 효율적 모델링)

  • 정명희;홍의석
    • Korean Journal of Remote Sensing
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    • 제15권2호
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    • pp.147-158
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    • 1999
  • Remote sensing technique has offered better understanding of our environment for the decades by providing useful level of information on the landcover. In many applications using the remotely sensed data, digital image processing methodology has been usefully employed to characterize the features in the data and develop the models. Random field models, especially Markov Random Field (MRF) models exploiting spatial relationships, are successfully utilized in many problems such as texture modeling, region labeling and so on. Usually, remotely sensed imagery are very large in nature and the data increase greatly in the problem requiring temporal data over time period. The time required to process increasing larger images is not linear. In this study, the methodology to reduce the computational cost is investigated in the utilization of the Markov Random Field. For this, multiresolution framework is explored which provides convenient and efficient structures for the transition between the local and global features. The computational requirements for parameter estimation of the MRF model also become excessive as image size increases. A Bayesian approach is investigated as an alternative estimation method to reduce the computational burden in estimation of the parameters of large images.

3D Face Modeling based on Image Using Watershed Transform (워터쉐드 변환을 이용한 영상기반의 3D 얼굴 모델링)

  • Shin, Hyun-Shil;Lee, Sang-Eun;Jang, Won-Dal;Yun, Tae-Soo;Yang, Hwang-Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 한국정보처리학회 2003년도 춘계학술발표논문집 (상)
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    • pp.535-538
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    • 2003
  • 본 논문에서는 얼굴 영상으로부터 워터쉐드 변환을 이용하여 3차원 얼굴 모델을 구성하는 방법을 제안한다. 워터쉐드 변환으로 분할된 각각의 영역으로부터 얼굴의 특징점들을 추출하고 MPEG-4에서 정의해놓은 FDP(Facial Definition Parameter)를 기반으로 얼굴 메쉬모델을 생성한다. 워터쉐드 변환시 발생하는 영역 기반의 과분할 결과에서 얻어지는 정확한 정보와 MPEG-4의 FDP를 기반으로 한 Candide Model을 이용함으로써 매우 간편하게 3D 얼굴 모델을 생성할 수 있고 영상 압축 및 전송에 매우 효율적으로 이용될 수 있다.

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An Image Transmission with Interleaved Puncturing Serially Concatenated Convolutional Codes for Wireless Communication (무선 채널 환경에서 IP-SCCC에 의한 정지 영상의 전송)

  • 이연문;조경식;정차근
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 한국신호처리시스템학회 2000년도 하계종합학술대회논문집
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    • pp.321-324
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    • 2000
  • 채널만을 고려한 부호화 방법보다 소스의 특성을 이용해 채널 부호화를 수행하는 것이 더 효율적이라는 사실은 일반적으로 잘 알려져 있다. 따라서 소스의 특성을 이용한 채널 부호화 방법은 중요한 연구과제이며 이에 대한 많은 연구가 진행되었다. 이러한 연구 결과로써 IP-SCCC(Interleaved puncturing serially concatenated convolutional codes)는 터보코드와 마찬가지로 반복복호가 가능하고 가변 부호율의 채널부호화를 수행할 수 있는 특징을 갖는다. 본 논문에서는 영상에 대한 웨이블렛 변환의 다른 스케일간의 자기 유사성을 이용한 SPIHT(set partitioning in hierarchical tree) 알고리즘으로 부호화된 정지영상에 대해 IP-SCCC를 사용한 UEP(unequal error protection) 채널부호화 방법을 제시한다. 또한 레일리 페이딩과 부가 백색 가우시안 잡음이 동시에 존재하는 채널을 모델링해서 실험을 수행하고 제안 방법의 성능을 검증한다.

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3D Shape Recovery based on Stereo Matching (스테레오 정합을 이용한 3차원 형상정보 복원)

  • 구본기
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 한국감성과학회 1998년도 춘계학술발표 논문집
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    • pp.151-154
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    • 1998
  • 본 논문에서는 스테레오 정합기법을 이용하여 2차원 물체의 형상정보로부터 3차원 형상정보를 자동 추출하는 시스템을 제안한다. 본 논문에서는 정확한 3차원 형상추출을 위해서 밝기값기반 방법과 특징기반 방법의 장점을 살려 두 방법을 통합 사용하였다. 또한, 오정합을 최소화하고 처리속도를 향상시키기 위해서Coarst-to-fine 방법을 적용하였다. 제안한 방법에 의해 도출된 변이영상(Disparity map)은 3차원 그래픽을 이용하여 모델링에 적용함으로써 3차원 형상정보 추출의 타당성 및 가상공간에서의 적용 가능성을 보였다.

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3D surface Reconstruction of Moving Object Using Multi-Laser Stripes Irradiation (멀티 레이저 라인 조사를 이용한 비등속 이동물체의 3차원 형상 복원)

  • Yi, Young-Youl;Ye, Soo-Young;Nam, Ki-Gon
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • 제44권2호
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    • pp.144-152
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    • 2007
  • We propose a 3D modeling method for surface inspection of non-linear moving object. The laser lines reflect the surface curvature. We can acquire 3D surface information by analyzing projected laser lines on object. ill this paper, we use multi-line laser to make use of robust of single stripe method and high speed of single frame. Binarization and channel edge extraction method were used for robust laser line extraction. A new labeling method was used for laser line labeling. We acquired sink information between each 3D reconstructed frame by feature point matching, and registered each frame to one whole image. We verified the superiority of proposed method by applying it to container damage inspection system.