• 제목/요약/키워드: Image-to-Image Matching

검색결과 1,936건 처리시간 0.037초

정맥패턴인식을 위한 고속 원형정합 (Fast Template Matching for the Recognition of Hand Vascular Pattern)

  • 최광욱;최환수;표광수
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
    • /
    • pp.532-535
    • /
    • 2003
  • In this paper, we propose a new algorithm that can enhance the speed of template matching of hand vascular pattern person verification or recognition system. Various template matching algorithms have advantages in the matching accuracy, but most of the algorithms suffer from computational burden. To reduce the computational amount, with accuracy maintained, we propose following template matching scenario as follows. firstly, original hand vascular image is re-sampled in order to reduce spatial resolution. Secondly, reconstructed image is projected to vertical and horizontal direction, being converted to two one dimensional (1D) data. Thirdly, converted data is used to estimate spatial discrepancy between stored template image and target image. Finally, matching begins from where the estimated order is highest, and finishes when matching decision function is computed to be over certain threshold. We've applied the proposed algorithm to hand vascular pattern identification application for biometrics, and observed dramatic matching speed enhancement. This paper presents detailed explanation of the proposed algorithm and evaluation results.

  • PDF

Effective Reconstruction of Stereoscopic Image Pair by using Regularized Adaptive Window Matching Algorithm

  • Ko, Jung-Hwan;Lee, Sang-Tae;Kim, Eun-Soo
    • Journal of Information Display
    • /
    • 제5권4호
    • /
    • pp.31-37
    • /
    • 2004
  • In this paper, an effective method for reconstruction of stereoscopic image pair through the regularized adaptive disparity estimation is proposed. Although the conventional adaptive disparity window matching can sharply improve the PSNR of a reconstructed stereo image, but there still exist some problems of overlapping between the matching windows and disallocation of the matching windows, because the size of the matching window tend to changes adaptively in accordance with the magnitude of the feature values. In the proposed method, the problems relating to the conventional adaptive disparity estimation scheme can be solved and the predicted stereo image can be more effectively reconstructed by regularizing the extimated disparity vector with the neighboring disparity vectors. From the experimental results, it is found that the proposed algorithm show improvements the PSNR of the reconstructed right image by about 2.36${\sim}$2.76 dB, on average, compared with that of conventional algorithms.

Perceptually Enhanced Matching을 사용한 삼차원 의학영상 Fractal Coding (Three Dimensional Fractal Coding of Medical Images with Perceptually Enhanced Matching)

  • 신흥식;안창범
    • 대한의용생체공학회:학술대회논문집
    • /
    • 대한의용생체공학회 1995년도 춘계학술대회
    • /
    • pp.131-134
    • /
    • 1995
  • A three dimensional fractal coding with a perceptually enhanced matching is proposed. Since most of medical images (e.g. computed tomography or magnetic resonance image) have three dimensional character, the searching region is extended to adjacent slices. For perceptually enhanced matching, a high frequency booster filter is used for prefiltering of the original image, and the least mean square error matching is applied to this edge enhanced image rather than the original image. From the simulation with the magnetic resonance images ($255{\times}255$, 8bits/pixel). the proposed algorithm provides excellent image quality with compression rations higher than 10. Compared to existing fractal coding the algorithm also provides better subjective image quality with higher compression ratio.

  • PDF

연속 항공영상에서의 Image Registration (Image Registration of Aerial Image Sequences)

  • 강민석;김준식;박래홍;이쾌희
    • 전자공학회논문지B
    • /
    • 제29B권4호
    • /
    • pp.48-57
    • /
    • 1992
  • This paper addresses the estimation of the shift vector from aerial image sequences. The conventional feature-based and area-based matching methods are simulated for determining the suitable image registration scheme. Computer simulations show that the feature-based matching schemes based on the co-occurrence matrix, autoregressive model, and edge information do not give a reliable matching for aerial image sequences which do not have a suitable statistical model or significant features. In area-based matching methods we try various similarity functions for a matching measure and discuss the factors determining the matching accuracy. To reduce the estimation error of the shift vector we propose the reference window selection scheme. We also discuss the performance of the proposed algorithm based on the simulation results.

  • PDF

수치사진측량을 위한 영상정합의 허용상관계수 결정에 관한 연구 (A Study on the Allowable Correlation Coefficient Determination for Image Matching in Digital Photogrammetry)

  • 이재기;조재호
    • 대한공간정보학회지
    • /
    • 제5권2호
    • /
    • pp.99-110
    • /
    • 1997
  • 수치사진측량에서 공액점을 자동으로 결정하기 위한 영상정합은 가장 핵심적인 주제이며 이를 자동화하기 위한 많은 연구가 진행 중이다 본 연구에서는 영역기반 영상정합에서 영상정합의 정확도를 제어하기 위한 허용상관계수의 설정이 수치사진측량의 정확도에 미치는 영향을 고찰하였다. 이를 위해 영상상관계수 정합법, 영상피라미드 정합법, 특징점 추출에 의한 정합법을 각각 구현하고 각 방법에서 허용상관계수가 수치사진측량의 정확도에 미치는 영향을 비교 분석하였고 최적 허용상관계수를 결정하는 방법을 제시하였다.

  • PDF

시차공간영상을 이용한 스테레오 영상 정합에 관한 연구 (A Study on Stereo Matching Algorithm using Disparity Space Image)

  • 이종민;김대현;최종수
    • 대한전자공학회논문지SP
    • /
    • 제41권6호
    • /
    • pp.9-18
    • /
    • 2004
  • 본 논문에서 우리는 시차공간영상 (disparity space image)을 이용한 새로운 스테레오 정합 방법을 제안한다. 본 논문에서는 실측 제어점 대신 영상 안에서 특징점을 추출하여 정합영역을 설정하였고, 간단한 비용행렬을 정의하였다. 그리고 정합 속도를 증가시키기 위해 화소 단위의 정합을 이용하였다. 화소 단위의 정합은 정합 속도는 향상시키지만, 주변 영역을 이용하지 않기 때문에 정합의 정확성이 낮아진다. 이러한 단점을 보완하기 위해 시차공간영상의 특성을 이용하여 정합경로를 확대시켜서 주변 영역을 최대한 이용하였다. 또한, 현재 위치에서 이전과 이후의 시차공간영상을 체적화하여 전후의 시차공간영상을 이용함으로써 정합의 정확도를 더욱 향상시키는 정합 보정 모듈을 추가하였다. 본 논문에서 제안된 알고리즘은 다양한 영상에 적용하여 실험하였고, 그 결과 제안된 방법의 우수한 성능을 확인할 수 있었다.

깊이정보와 블록기반매칭을 이용한 스테레오 영상의 중간영상 생성 (Intermediate Image Generation of Stereo Image Using Depth Information and Block-based Matching Method)

  • 양광원;허경무;김장기
    • 제어로봇시스템학회논문지
    • /
    • 제8권10호
    • /
    • pp.874-880
    • /
    • 2002
  • A number of techniques have been proposed for 3D display using view-difference of two eyes. These methods do not express enough reality like real world. The display images have to change according to the position of a viewer to improve reality. In this paper, we present an approach for generating intermediate image between two different view images by applying new image interpolation algorithm The interpolation algorithm is designed to cope with complex shapes. The proposed image interpolation algorithm generates rotated image about vertical axes by any angle from base images. Each base image that was obtained from CCD camera has an view-angle difference of $3^{\circ}C$, $5.5^{\circ}C$, $^{\circ}C$, $22^{\circ}C$, and $45^{\circ}C$. The proposed into mediate image generation method uses the geometric analysis of image and depth information through the block-based matching method.

다양한 오정합 제거 알고리즘을 이용한 영상정합의 정확도 향상 (Improving the Accuracy of Image Matching using Various Outlier Removal Algorithms)

  • 이용일;김준철;이영란;신성웅
    • 한국측량학회지
    • /
    • 제27권1호
    • /
    • pp.667-675
    • /
    • 2009
  • 영상정합은 원격 탐사, GIS 등과 같은 영상 활용 분야에서 매우 광범위하게 적용된다. 일반적으로 초기의 정합점 데이터들은 영상정합의 정확도를 떨어뜨리는 오정합을 포함하고 있다. 본 논문의 목적은 영상정합에서 정확도를 유지하기 위해 오정합의 탐색 및 제거를 위한 강건한 접근법을 개발하는 것이다. 본 논문은 자동으로 오정합을 탐색하기 위해 역방향 정합 유사변환, RANSAC 알고리즘을 사용하였으며 빠르고 효율적인 영상정합을 위해 중복영역의 계산, 블록기반 처리 등과 같은 전처리 단계를 사용하였다. 논문에서 제안한 방법을 실제 항공사진 영상쌍에 적용하여 robustness와 효율성 측면에서 그 결과를 분석하였다.

Synthesizing Intermediate Images Using Stereoscopic Images

  • Kwak, Ji-Hyun;Komar, V.S.V.;Kim, Kyung-Tae
    • Journal of the Optical Society of Korea
    • /
    • 제6권4호
    • /
    • pp.143-149
    • /
    • 2002
  • In this paper, we present an algorithm for synthesizing intermediate views from a stereoscopic pair of images. Syntheses of intermediate images allows one to realize a more comfortable the 3D display system. The proposed method is based on block matching, which is not ordinarily used. The contour information is used for a block decision. In order to find an equivalent (or corresponding) block, there are two steps: "matching of contour-to-original image" and "matching of contour-to-contour image" methods. "Matching of contour-to-contour image" uses both left and right contour images. This block matching method allows us to find the corresponding block in spite of different block sizes. Experimental results illustrate the performance of the proposed technique and we obtained a high quality image of more than 31 dB PSNR.image of more than 31 dB PSNR.

CLASSIFIED ELGEN BLOCK: LOCAL FEATURE EXTRACTION AND IMAGE MATCHING ALGORITHM

  • Hochul Shin;Kim, Seong-Dae
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
    • /
    • pp.2108-2111
    • /
    • 2003
  • This paper introduces a new local feature extraction method and image matching method for the localization and classification of targets. Proposed method is based on the block-by-block projection associated with directional pattern of blocks. Each pattern has its own eigen-vertors called as CEBs(Classified Eigen-Blocks). Also proposed block-based image matching method is robust to translation and occlusion. Performance of proposed feature extraction and matching method is verified by the face localization and FLIR-vehicle-image classification test.

  • PDF