• Title/Summary/Keyword: 합성영상

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Comparison of Machine Learning Models for Image Classification on Composite Images (합성 이미지에 대한 기존 머신 러닝 이미지 분류 모델의 성능 비교)

  • Jeong, YoonJin;Han, Ji-Hyeong
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.324-326
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    • 2021
  • 증강현실은 현실 공간에 가상의 객체를 합성한 영상을 생성하는 기술이다. 증강현실 기술에 대한 지속적인 수요 증가와 기술 발전이 이루어져 왔으며, 앞으로 사용자에게 현실을 기반으로 생성된 이질감이 느껴지지 않는 정교한 영상을 제공할 수 있으리라 기대할 수 있다. 본 논문에서는 증강현실 기술로 생성된 합성 영상이 정교한 영상임을 판단할 수 있는 객관적인 기준을 마련하기 위해 기존의 머신 러닝 기반의 이미지 분류 모델들로 합성 이미지 예측에 대한 실험을 진행하고 그 결과를 비교한다.

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A Implementation of 3D Virtual Face using two 2D photographs (두 장의 2D 사진을 이용한 3D 가상 얼굴 구현)

  • 임낙현;서경호;김태효
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.12a
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    • pp.117-120
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    • 2000
  • 본 논문에서는 2매의 2차원 얼굴영상으로부터 이들을 합성하여 3차원 얼굴의 가상형상을 복원한다. 여기서 2매의 2차원 얼굴영상은 정면과 측면 영상을 사용한다. 우선 임의의 일반 얼굴에 대한 기준모델을 설정하고, 이 모델에서, 얼굴형상의 특징을 표현하는 귀, 2개의 눈, 코 및 입 부분에 집중적으로 특징점을 규정하고, 그 외에 이마 및 턱 부분에도 특징 점을 규정하여 그 위치좌표를 저장해 둔다. 그 후 정면영상의 좌 우측에 측면영상을 대칭적으로 접속하고 영상의 기하변환 방법을 적용하여 점차적으로 합성한다. 이때 나타나는 합성부분에 색상 및 명도의 차를 제거하기 위해 선형보간법을 적용하여 자연스런 3차원 가상얼굴을 구현하게 된다. 그 결과 불특정 얼굴형상도 3차원으로 구현할 수 있음을 확인하였다.

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Design and Implementation of Multiple View Image Synthesis Scheme based on RAM Disk for Real-Time 3D Browsing System (실시간 3D 브라우징 시스템을 위한 램 디스크 기반의 다시점 영상 합성 기법의 설계 및 구현)

  • Sim, Chun-Bo;Lim, Eun-Cheon
    • The Journal of the Korea Contents Association
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    • v.9 no.5
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    • pp.13-23
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    • 2009
  • One of the main purpose of multiple-view image processing technology is support realistic 3D image to device user by using multiple viewpoint display devices and compressed data restoration devices. This paper proposes a multiple view image synthesis scheme based on RAM disk which makes possible to browse 3D images generated by applying effective composing method to real time input stereo images. The proposed scheme first converts input images to binary image. We applies edge detection algorithm such as Sobel algorithm and Prewiit algorithm to find edges used to evaluate disparities from images of 4 multi-cameras. In addition, we make use of time interval between hardware trigger and software trigger to solve the synchronization problem which has stated ambiguously in related studies. We use a unique identifier on each snapshot of images for distributed environment. With respect of performance results, the proposed scheme takes 0.67 sec in each binary array. to transfer entire images which contains left and right side with disparity information for high quality 3D image browsing. We conclude that the proposed scheme is suitable for real time 3D applications.

Real-time Video Matting for Mobile Device (모바일 환경에서 실시간 영상 전경 추출 연구)

  • Yoon, Jong-Chul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.5
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    • pp.487-492
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    • 2018
  • Recently, various applications for image processing have been ported to the mobile environment due to the expansion of the image shooting on the mobile device. However, in the case of extracting the image foreground, which is one of the most important functions of image synthesis, is difficult since it needs complex calculation. In this paper, we propose an video synthesis technique that can divide images captured by mobile devices into foreground / background and combine them in real time on target images. Considering the characteristics of mobile shooting, our system can extract automatically foreground of input video that contains weak motion when shooting. Using SIMD and GPGPU-based acceleration algorithms, SD-quality images can be processed on mobile in real time.

Analysis method of signal model for synthetic aperture integral imaging (합성 촬영 집적 영상의 신호 모델 해석 방법)

  • Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.11
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    • pp.2563-2568
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    • 2010
  • SAII (synthetic aperture integral imaging) is a useful technique to record many multi view images of 3D objects by using a moving camera and to reconstruct 3D depth images from the recorded multiviews. This is largely composed of two processes. A pickup process provides elemental images of 3D objects and a reconstruction process generates 3D depth images computationally. In this paper, a signal model for SAII is presented. We defined the granular noise and analyzed its characteristics. Our signal model revealed that we could reduce the noise in the reconstructed images and increase the computational speed by reducing the shifting distance of a single camera.

Depth Estimation and Intermediate View Synthesis for Three-dimensional Video Generation (3차원 영상 생성을 위한 깊이맵 추정 및 중간시점 영상합성 방법)

  • Lee, Sang-Beom;Lee, Cheon;Ho, Yo-Sung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.10B
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    • pp.1070-1075
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    • 2009
  • In this paper, we propose new depth estimation and intermediate view synthesis algorithms for three-dimensional video generation. In order to improve temporal consistency of the depth map sequence, we add a temporal weighting function to the conventional matching function when we compute the matching cost for estimating the depth information. In addition, we propose a boundary noise removal method in the view synthesis operation. after finding boundary noise areas using the depth map, we replace them with corresponding texture information from the other reference image. Experimental results showed that the proposed algorithm improved temporal consistency of the depth sequence and reduced flickering artifacts in the virtual view. It also improved visual quality of the synthesized virtual views by removing the boundary noise.

Reconstruction and Change Analysis for Temporal Series of Remotely-sensed Data (연속 원격탐사 영상자료의 재구축과 변화 탐지)

  • 이상훈
    • Korean Journal of Remote Sensing
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    • v.18 no.2
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    • pp.117-125
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    • 2002
  • Multitemporal analysis with remotely sensed data is complicated by numerous intervening factors, including atmospheric attenuation and occurrence of clouds that obscure the relationship between ground and satellite observed spectral measurements. Using an adaptive reconstruction system, dynamic compositing approach was developed to recover missing/bad observations. The reconstruction method incorporates temporal variation in physical properties of targets and anisotropic spatial optical properties into image processing. The adaptive system performs the dynamic compositing by obtaining a composite image as a weighted sum of the observed value and the value predicted according to local temporal trend. The proposed system was applied to the sequence of NDVI images of AVHRR observed on the Korean Peninsula from 1999 year to 2000 year. The experiment shows that the reconstructed series can be used as an estimated series with complete data for the observations including bad/missing values. Additionally, the gradient image, which represents the amount of temporal change at the corresponding time, was generated by the proposed system. It shows more clearly temporal variation than the data image series.

웨이브릿 합성필터를 이용한 왜곡불변 광패턴인식

  • 이승희;정우영
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1998.03a
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    • pp.305-311
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    • 1998
  • 본 논문에서는 회전과 크리에 무관한 상관결과를 얻기 위하여 WCHF-fSDF(wavelet circular harmonic function-filter modulation synthetic discriminant function)필터를 제안하였다. WCHF-fSDF 필터는 기준영상에 대하여 크기변화된 영상들을 웨이브릿 변환한 후, 이들로부터 추출한 단일 원형고조함수를 학습영상으로 사용하여 합성한다. 웨이브릿 변환은 입력영상과 웨이브릿 함수와의 상관으로 정의되므로 웨이브릿 변환을 이용한 패턴인식을 하기 위해서는 두 개의 4f 광 상관 시스템이 필요하다. 여기서 입력영상에 필요한 웨이브릿 함수를 제안된 필터의 설계과정에 포함시켜 전체 광 상관 시스템을 하나의 4f 광상관시스템을 대체시켰다.

Cylindrical Anaglyph Stereo Panorama Implementation Using Dual Lens Camera (이중 렌즈 입체 카메라를 이용한 실린더 애너그리프 입체 파노라마 영상 구현)

  • Jo, Yun-Jung;Cho, Dong-Sub
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.691-692
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    • 2010
  • 본 논문에서는 입체영상 기법과 파노라마 영상 기술을 접목한 입체 파노라마 영상을 애너그리프 방식의 실린더 형태로 구현할 때, 애너그리프 합성 후 파노라마 스티칭 하는 방법과 파노라마 스티칭 후 애너그리프 합성하는 방식 두 가지로 각각 구현 해보고, 두 결과 영상의 Depth map 을 생성하여 입체감 형성 정도 및 왜곡 정도를 분석한다.

Stereoscopic Video Compositing with a DSLR and Depth Information by Kinect (키넥트 깊이 정보와 DSLR을 이용한 스테레오스코픽 비디오 합성)

  • Kwon, Soon-Chul;Kang, Won-Young;Jeong, Yeong-Hu;Lee, Seung-Hyun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.10
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    • pp.920-927
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    • 2013
  • Chroma key technique which composes images by separating an object from its background in specific color has restrictions on color and space. Especially, unlike general chroma key technique, image composition for stereo 3D display requires natural image composition method in 3D space. The thesis attempted to compose images in 3D space using depth keying method which uses high resolution depth information. High resolution depth map was obtained through camera calibration between the DSLR and Kinect sensor. 3D mesh model was created by the high resolution depth information and mapped with RGB color value. Object was converted into point cloud type in 3D space after separating it from its background according to depth information. The image in which 3D virtual background and object are composed obtained and played stereo 3D images using a virtual camera.