• 제목/요약/키워드: Image Deformation

검색결과 364건 처리시간 0.029초

실사 오브젝트의 이미지 기반 변형기법 (Deformation of Objects in Real Scenes using Image-Based Method)

  • 정한빛;이인권
    • 한국정보과학회:학술대회논문집
    • /
    • 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (1)
    • /
    • pp.679-681
    • /
    • 2005
  • 배경은 정적인 실사 이미지이며 주요 등장 인물은 CG캐릭터인 경우, 배경 이미지 내의 객체와 CG 캐릭터 간에 상호 작용을 다루기 위하여 일반적으로 배경 내의 객체를 CG 캐릭터로 대체하는 방법을 사용한다. 그러나 본 연구에서는 배경의 객체를 직접 변형시키는 새로운 기법을 제안한다. 우리는 배경 내의 객체를 간단히 표현한 3D 모델로부터 정보를 얻어와 이미지 변형 기법을 이용하여 직접 배경의 객체를 변형시키고, ERI(Expression Ratio Image) 기법을 이용하여 변형된 배경의 객체에 달라진 조명 효과를 반영하는 방법을 사용하였다. 이 기법은 원본 이미지를 그대로 사용하므로, 실사와 같은 높은 품질의 결과물을 얻을 수 있다.

  • PDF

레이저 스페클을 이용한 재료 변형 측정 (Measurement of Material Deformation Using Laser Speckle)

  • 전문창;강기주
    • 한국정밀공학회:학술대회논문집
    • /
    • 한국정밀공학회 2002년도 춘계학술대회 논문집
    • /
    • pp.688-694
    • /
    • 2002
  • As a tool for strain measurement to work with screw driven or hydraulic material test systems, in which mechanical vibration is inherent, SSDG(Speckle Strain/Displacement Gage), ESP(Electronic Speckle Photography) and its 3-dimension version SDSP are investigated for the theory and practical appliance. Through tension test of steel strips, their validity and shortcomings are examined. As the results, it has been shown that, although SSDG and ESP provide direct measurement of in-plane strain in one direction, they are so sensitive to the out-plane displacement. On the other hand, SDSP which is aided with DIC (Digital Image Correlation) technique to trace the movement of the speckles provides not only in-plane 2-dimensional displacement field, but also out-of-plane displacement simultaneously. However, because the DIC is time-consuming, not automated yet and it needs post-processing to evaluate strain from the displacement field, SDSP appears to be not adequate as a real time sensor.

  • PDF

Flexural performance and fiber distribution of an extruded DFRCC panel

  • Lee, Bang Yeon;Han, Byung-Chan;Cho, Chang-Geun;Kim, Yun Yong
    • Computers and Concrete
    • /
    • 제10권2호
    • /
    • pp.105-119
    • /
    • 2012
  • This paper presents the mix composition and production method that was applied to an extruded Ductile Fiber Reinforced Cement Composite (DFRCC) panel, as well as the flexural performance, represented by deformation hardening behavior with multiple cracking. The effect of fiber distribution characteristics on the flexural behavior of the panel is also addressed. In order to demonstrate the fiber distribution effect, a series of experiments and analyses, including a sectional image analysis and micromechanical analysis, was performed. From the experimental and analysis results, it was found that the flexural behavior of the panel was highly affected by a slight variation in the mix composition. In terms of the average fiber orientation, the fiber distribution was found to be similar to that derived under the assumption of a two-dimensional random distribution, irrespective of the mix composition. In contrast, the probability density function for the fiber orientation was measured to vary depending on the mix composition.

신경회로망을 이용한 실내환경에서의 주행표식인식 (Landmark recognition in indoor environments using a neural network)

  • 김정호;유범재;오상록;박민용
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
    • /
    • pp.306-309
    • /
    • 1996
  • This paper presents a method of landmark recognition in indoor environments using a neural-network for an autonomous mobile robot. In order to adapt to image deformation of a landmark resulted from variations of view-points and distances, a multi-labeled template matching(MLTM) method and a dynamic area search method(DASM) are proposed. The MLTM is. used for matching an image template with deformed real images and the DASM is proposed to detect correct feature points among incorrect feature points. Finally a feed-forward neural-network using back-propagation algorithm is adopted for recognizing the landmark.

  • PDF

광학적 비접촉 측정에 의한 구조물 해석의 화상처리 계측 시스템 개발에 관한 연구 (A Study on the Development of Image Processing Measurement System on the Structural Analysis by Optical Non-contact Measurement)

  • 김경석
    • 한국생산제조학회지
    • /
    • 제8권6호
    • /
    • pp.78-83
    • /
    • 1999
  • This study discusses a non-contact optical technique, electronic speckle pattern interformetry(ESPI), that is well suited for in-plane and out-of-plane deformation measurement. However, the existing ESPI methods that are based on dual-exposure, real-time and time-average method have difficulties for accurate measurement of structure, due to irregular intensity and shake of phase. Therefore, phase shifting method has been proposed in order to solve this problem. About the method, the path of reference light in interferometry is shifted and added to least square fitting method to make the improvement in distinction and precision. This proposed method is applied to measure in -plane displacement that is compared with the previous method. Also, Used as specimen AS4/PE따 [30/=30/90]s was analyzed by ESPI based on real-time to determine the characteristics of vibration under no-load and tension. These results are quantitatively compared with those of FEM analysis inmode shapes.

  • PDF

A Study on the Surface Characteristics of Dual Phase Steel by Electron Backscatter Diffraction (EBSD) Technique

  • Jeong, Bong-Yong;Ryou, Min;Lee, Chongmu;Kim, Myung Ho
    • Transactions on Electrical and Electronic Materials
    • /
    • 제15권1호
    • /
    • pp.20-23
    • /
    • 2014
  • Dual phase steels have a microstructure comprising of a polygonal ferrite matrix together with dispersed islands of martensite. There are clear differences between the image quality (IQ) map of the dual phase and the corresponding ferritic/pearlitic structures, both in the as-heat treated and cold rolled conditions. Electron backscatter diffraction (EBSD) techniques were used to study the evolution substructure of steel due to plastic deformation. The martensite-ferrite and ferrite-pearlite interfaces were observed. The interface can be a source of mobile dislocations which the bands seem to originate from the martensite islands. In particular, the use of image quality is highlighted.

Respiratory Motion Correction on PET Images Based on 3D Convolutional Neural Network

  • Hou, Yibo;He, Jianfeng;She, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제16권7호
    • /
    • pp.2191-2208
    • /
    • 2022
  • Motion blur in PET (Positron emission tomography) images induced by respiratory motion will reduce the quality of imaging. Although exiting methods have positive performance for respiratory motion correction in medical practice, there are still many aspects that can be improved. In this paper, an improved 3D unsupervised framework, Res-Voxel based on U-Net network was proposed for the motion correction. The Res-Voxel with multiple residual structure may improve the ability of predicting deformation field, and use a smaller convolution kernel to reduce the parameters of the model and decrease the amount of computation required. The proposed is tested on the simulated PET imaging data and the clinical data. Experimental results demonstrate that the proposed achieved Dice indices 93.81%, 81.75% and 75.10% on the simulated geometric phantom data, voxel phantom data and the clinical data respectively. It is demonstrated that the proposed method can improve the registration and correction performance of PET image.

다중카메라를 이용한 곡면 스크린의 패턴 레이저 좌표 추적 방법 설계와 해석 연구 (A Study on Design and Interpretation of Pattern Laser Coordinate Tracking Method for Curved Screen Using Multiple Cameras)

  • 조진표;김정호;정용배
    • Journal of Platform Technology
    • /
    • 제9권4호
    • /
    • pp.60-70
    • /
    • 2021
  • 본 논문은 2채널 이상의 다중 카메라를 사용하는 곡면 스크린 사격 시스템에서 패턴 레이저 영상의 좌표를 안정적으로 추적할 수 있는 방법을 제안하였다. 이 방법은 HMD 사격 방식을 대체할 수 있는 다중 스크린 사격 방식에 적용시 매우 효과적으로 타겟점을 추적 및 획득할 수 있다. 개별 카메라로부터 획득한 변형이 심한 곡면 스크린의 영상을 영상 정규화, 영상 이진화 및 노이즈 제거를 통해 보정한다. 이 보정된 영상을 매칭점을 기준으로 사격의 탄착점 추적에 용의한 유클리드 공간 맵으로 생성하여 적용한다. 실험한 결과, 곡면 스크린 사격 시스템에서 패턴 레이저의 영상 좌표를 안정적으로 추출하였고, 실세계 좌표 위치와 광대역 유클리드 맵의 타켓점 위치 오차를 최소화하였다. 실험을 통해 제안한 방법의 신뢰성을 확인하였다.

Restoring Turbulent Images Based on an Adaptive Feature-fusion Multi-input-Multi-output Dense U-shaped Network

  • Haiqiang Qian;Leihong Zhang;Dawei Zhang;Kaimin Wang
    • Current Optics and Photonics
    • /
    • 제8권3호
    • /
    • pp.215-224
    • /
    • 2024
  • In medium- and long-range optical imaging systems, atmospheric turbulence causes blurring and distortion of images, resulting in loss of image information. An image-restoration method based on an adaptive feature-fusion multi-input-multi-output (MIMO) dense U-shaped network (Unet) is proposed, to restore a single image degraded by atmospheric turbulence. The network's model is based on the MIMO-Unet framework and incorporates patch-embedding shallow-convolution modules. These modules help in extracting shallow features of images and facilitate the processing of the multi-input dense encoding modules that follow. The combination of these modules improves the model's ability to analyze and extract features effectively. An asymmetric feature-fusion module is utilized to combine encoded features at varying scales, facilitating the feature reconstruction of the subsequent multi-output decoding modules for restoration of turbulence-degraded images. Based on experimental results, the adaptive feature-fusion MIMO dense U-shaped network outperforms traditional restoration methods, CMFNet network models, and standard MIMO-Unet network models, in terms of image-quality restoration. It effectively minimizes geometric deformation and blurring of images.