• 제목/요약/키워드: Mosaic images

검색결과 137건 처리시간 0.032초

능동 스테레오 비젼을 이용한 실내환경의 3차원 형상 재구성 알고리즘 (A Study on the 3D Shape Reconstruction Algorithm of an Indoor Environment Using Active Stereo Vision)

  • 변기원;주재흠;남기곤
    • 융합신호처리학회논문지
    • /
    • 제10권1호
    • /
    • pp.13-22
    • /
    • 2009
  • 본 연구에서는 레이저 슬릿 빔을 이용한 능동 스테레오 정합 기법과 모자이크 기법을 결합한 3차원 형상 복원 기법을 제안한다. 능동 스테레오 정합 기법은 레이저 슬릿 빔이 조사된 좌, 우 영상에서 색상과 밝기 변화를 분석하여 레이저 라인의 위치정보를 검출하고, 등극선(epipolar line)에서 이를 비교하여 깊이 정보를 획득하는 방법이다. 모자이크 기법은 해리스 코너 검출 방법(harris corner detection)을 이용하여 영상의 특징점을 검출하고, 특징점 기술자(keypoint descriptor) 색인 분류 방법으로 연속 영상 간 특징점의 대응쌍을 찾고 상호 변환 관계를 추정하는 방법이다. 능동 스테레오 정합기법과 모자이크 기법을 이용하여 전체 연속 영상의 깊이 정보를 계산하였다. 이와 같은 방법으로 획득한 연속 영상의 깊이 정보를 영상의 색상, 질감 정보와 융합(blending)과정을 거쳐 최종 3차원 형상 정보로 복원하였다. 제안한 복원기법은 레이저 슬릿 빔과 스테레오 카메라를 사용함으로써 장소와 거리 제약 조건을 극복하여 용이하면서도 강인한 3차원 거리 정보를 획득할 수 있었다.

  • PDF

KMTNet 모자이크 CCD 영상의 크로스톡 보정 (CROSSTALK CORRECTION OF THE KMTNet MOSAIC CCD IMAGE)

  • 김승리;차상목;이충욱;김동진;박병곤;이용석;박홍수;경재만;천무영
    • 천문학논총
    • /
    • 제31권3호
    • /
    • pp.35-41
    • /
    • 2016
  • We have constructed a wide-field photometric survey system called as the Korea Microlensing Telescope Network (KMTNet) in 2015. It consists of three 1.6 m optical telescopes equipped with mosaic CCD cameras. Four 9k CCDs were installed on the focal plane of each telescope. In this paper, we present the crosstalk analysis of the KMTNet mosaic CCD images. The crosstalk victims caused by bright sources were visible at eight sub-images obtained through different readout ports of each CCD. The crosstalk coefficients were estimated to be several tens of $10^{-4}$ in maximum, differing from sub-image to sub-image, and the non-linearity effect certainly appeared at the victims made from saturated sources. We developed software functions to correct the crosstalk effect of the KMTNet CCD images. The software functions showed satisfying results to remove clearly most of the crosstalk victims and have been implemented in the KMTNet image processing pipeline since 2015 September.

영상 피라미드 기반 영상 모자이크를 위한 접합선 추출 (Seamline Detection for Image Mosaicking with Image Pyramid)

  • 유은진
    • 산업경영시스템학회지
    • /
    • 제46권3호
    • /
    • pp.268-274
    • /
    • 2023
  • Image mosaicking is one of the basic and important technologies in the field of application using images. The key of image mosaicking is to extract seamlines from a joint image. The method proposed in this paper for image mosaicking is as follows. The feature points of the images to be joined are extracted and the joining form between the two images is identified. A reference position for detection the seamlines were selected according to the joint form, and an image pyramid was created for efficient image processing. The outlines of the image including buildings and roads are extracted from the overlapping area with low resolution, and the seamlines are determined by considering the components of the outlines. Based on this, the seamlines in the high-resolution image was re-searched and finally the seamline for image mosaicking was determined. In addition, in order to minimize color distortion of the image with the determined seamline, a method of improving the quality of the mosaic image by fine correction of the mosaic area was applied. It was confirmed that the quality of the seamline extraction results applying the method proposed was reasonable.

나선 드로잉 기반 실시간 결정화 모자이크 기법 (Spiral Drawing-based Real-time Crystallization Mosaic Tchnique)

  • 김재경;김영호;박진완
    • 한국컴퓨터게임학회논문지
    • /
    • 제31권4호
    • /
    • pp.137-144
    • /
    • 2018
  • 과거 모자이크 기법은 바닥에 천을 깔고 타일을 수작업으로 붙여 제작하였다. 하지만 최근 기술의 발달로 데이터 저장 방식이 아날로그에서 디지털로 발전하여 컴퓨터를 통한 이미지 표현과 변환이 가능해지며 모자이크의 표현 기법 또한 다양하게 발전하고, 디지털로의 예술표현 방식으로도 사용되어지며 공학 분야에서도 그 제작 과정에 대한 연구들이 다양하다. 본 논문에서 제안하는 기법은 나선형으로 실시간 퍼져나가는 결정화(Crystallization)모자이크로 타일요소는 3D석영(Crystal)을 사용한다. 기존 연구들은 대체로 이미지를 좀 더 세밀하게 묘사하기 위함이 연구 목적의 주를 이루고 있지만 본 기법은 시도되지 않았던 나선 드로잉과 결정화를 접목하고 3D 공간에서의 새로운 모자이크 방식을 시도 한다. 또한 제안하는 기법의 대한 검증과 이를 기반으로 게임으로의 발전방향에 대해 모색한다. 본 기법을 바탕으로 제작된 작품 'Spiral Crystallization Photo' 는 MWU Award'18에서 Top27에 선정되었으며 Unite Seoul 2018에서 전시 되었다.

RANSAC 방법을 이용한 항공 사진 모자이킹 기법 (Mosaicking Techniques of Aerial Photographs using the RANSAC Algorithm)

  • 임인근
    • 한국군사과학기술학회지
    • /
    • 제10권2호
    • /
    • pp.180-187
    • /
    • 2007
  • In this paper, we propose an automatic method which combines two or more images acquired by camera on the air-vehicle into a larger image mosaics. The shift, scaling, rotation factors between two images can be calculated by using the correspondences between the points of the images. In order to estimate these factors, we find the relative positions of two images with respect to each other by using the SIFT descriptor and the RANSAC algorithm. After estimating the factors, the images can be merged into a single image mosaic by warping the target image. To avoid seams when mosaics are constructed from overlapped images, we apply the average gray level value of points within a overlapped zone. We have tested our proposed method on various image sets and have confirmed that our method produced good result subjectively.

역전파 신경망을 이용한 동영상에서의 얼굴 검출 및 트래킹 (Face Detection Tracking in Sequential Images using Backpropagation)

  • 지승환;김용주;김정환;박민용
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
    • /
    • pp.124-127
    • /
    • 1997
  • In this paper, we propose the new face detection and tracking angorithm in sequential images which have complex background. In order to apply face deteciton algorithm efficently, we convert the conventional RGB coordiantes into CIE coordonates and make the input images insensitive to luminace. And human face shapes and colors are learned using ueural network's backpropagation. For variable face size, we make mosaic size of input images vary and get the face location with various size through neural network. Besides, in sequential images, we suggest face motion tracking algorithm through image substraction processing and thresholding. At this time, for accurate face tracking, we use the face location of previous. image. Finally, we verify the real-time applicability of the proposed algorithm by the simple simulation.

  • PDF

INTERSTELLAR ENVIRONMENTS IN THE LARGEMAGELLANIC CLOUD

  • KIM SUNGEUN
    • 천문학회지
    • /
    • 제37권4호
    • /
    • pp.211-216
    • /
    • 2004
  • We present the results of an H I aperture synthesis mosaic of the Large Magellanic Cloud (LMC), made by combining data from 1344 separate pointing centers using the Australia Telescope Compact' Array (ATCA) and the Parkes multibeam receiver. The resolution of the mosaiced images is 50" (<15 pc, using a distance to the LMC of 55kpc). This mosaic, with a spatial resolution .15 times higher than that which had been previously obtained, emphasises the turbulent and fractal structure of the ISM on the small scale, resulting from the dynamical feedback of the star formation processes with the ISM. We also have done a widefield panoramic survey of H$\alpha$ emission from the Magellanic Clouds with an imager mounted on the 16-inch telescope at Siding Spring Observatory. This survey produced H$\alpha$ images which are equal to the ATCA survey in area coverage and resolution. This survey allows us to produce a continuum-subtracted image of the entire LMC. In contrast with its appearance in the H$\alpha$ image, the LMC is remarkably symmetric in H I on the largest scales, with the bulk of the H I residing in a disk of diameter 8. $^{\circ}4$ (7.3 kpc) and a spiral structure is clearly seen. The structure of the neutral atomic ISM in the LMC is dominated by H I filaments combined with numerous shells and holes.

야간 보행자인식을 위한 적외선 동영상의 형상특징벡터 생성기법 (Method of Generating Shape Feature Vector Using Infrared Video for Night Pedestrian Recognition)

  • 송병탁;김태석
    • 한국멀티미디어학회논문지
    • /
    • 제21권7호
    • /
    • pp.755-763
    • /
    • 2018
  • In this paper, for recognize a night pedestrian from an infrared video, a new method differentiated from the existing feature vector is proposed and experimented. The new approach focuses on the shape feature vector of the structure and shape of the pedestrian image divided by the human body seven split ratio. The pedestrian images are divided into 7 square blocks from the still image of the preprocessing process. And to reduce the dimension, the square block is converted into a mosaic block. The scalar and direction of the shape feature vector is calculated by the brightness and position of the element in the mosaic. For practicality of infrared video system, the proposed method simplifies the data to be processed by reducing the amount of data in the preprocessing in order to continuously batch process the entire system in real time. Through the experiments, we verified the validity of the proposed shape feature vector. In comparison to the existing method, we propose a new shape feature vector generation method as the feature vector for night pedestrian recognition.

1960년대 한반도 모자이크 영상 제작 (Generation Mosaic Image of 1960's Satellite Photographs Covering the Korean Peninsula)

  • 손홍규;김기홍;이진화;곽은주
    • 한국측량학회:학술대회논문집
    • /
    • 한국측량학회 2003년도 추계학술발표회 논문집
    • /
    • pp.205-209
    • /
    • 2003
  • The urbanization of Korea has been rapidly progressed since 1960. Current available satellite images used in various fields are obtained after 1975. The CORONA Image data declassified in 1995, and are the only source of image which provide 1960's topographic information of the Korean Peninsula. In this sense CORONA imagery can be readily applicable for change detection in various fields such as urban, forest and environmental planning. To generate CORONA mosaic image of Korea we undertook comparative analysis of the various geocoding methods. We also applied the linear regression method to perform the radiometric balance between the strips.

  • PDF

카메라 영상을 이용한 진동변위 측정 시 측정해상도 향상 기법 (Enhancement of Displacement Resolution of Vibration Data Measured by using Camera Images)

  • 손기성;전형섭;한순우;박종원
    • 한국소음진동공학회논문집
    • /
    • 제24권9호
    • /
    • pp.716-723
    • /
    • 2014
  • Vibration measurement using image processing is a fully non-contact measurement method and has many application fields. The resolution of vibration data measured by image processing depends on the camera performance and is lower than that measured by accelerometers. This work discusses the method to increase resolution of vibration signal measured by image processing based on the image mosaic technique with a high-power lens. The working principle of resolution enhancement was explained theoretically and verified by several experiments. It was shown that the proposed method can measure vibrations of relatively large scale structures with increased resolutions.