• 제목/요약/키워드: Sub-pixel position

검색결과 24건 처리시간 0.02초

스테레오 영상 기반의 객체 탐지 및 객체의 3차원 위치 추정 (Object Detection and 3D Position Estimation based on Stereo Vision)

  • 손행선;이선영;민경원;서성진
    • 한국정보전자통신기술학회논문지
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    • 제10권4호
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    • pp.318-324
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    • 2017
  • 본 항공기에 스테레오 카메라를 장착하여 영상 기반의 비행 객체 탐지 및 탐지된 객체의 3차원 위치를 추정하는 방법을 제시하였다. 구름 사이에 존재할 수 있는 원거리의 작은 객체를 탐지하기 위한 방법으로 PCT 기반의 Saliency Map을 생성하여 이용하였으며, 이렇게 탐지된 객체는 좌우 스테레오 영상에서 매칭을 수행하여 스테레오 시차(Disparity)를 추출하였다. 정확한 Disparity를 추출하기 위하여 비용집적(Cost Aggregation) 영역을 탐지 객체에 맞추어 가변되도록 가변 영역으로 사용하였으며, 본 논문에서는 Saliency Map에서 객체의 존재 영역으로 검출된 결과를 사용하였다. 좀 더 정밀한 Disparity를 추출하기 위하여 Sub-pixel interpolation 기법을 사용하여 Sub-pixel 레벨의 실수형 Disparity를 추출하였다. 또한 이에 카메라 파라미터를 적용하여 실제 탐지된 비행 객체의 3차원 공간 좌표를 생성하여 객체의 공간위치를 추정하는 방법을 제시하였다. 이는 향후 자율비행체의 영상기반 객체 탐지 및 충돌방지 시스템에 활용될 수 있을 것으로 기대된다.

이진 이미지에 대한 픽셀값 가중치를 이용한 자료 은닉 기법 연구 (A Data Hiding Method of Binary Images Using Pixel-value Weighting)

  • 정기현
    • 한국군사과학기술학회지
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    • 제11권4호
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    • pp.68-75
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    • 2008
  • This paper proposes a new data hiding method for binary images using the weighting value of pixel-value differencing. The binary cover image is partitioned into non-overlapping sub-blocks and find the most suitable position to embed a secret bit for each sub-block. The proposed method calculates the weighted value for a sub-block to pivot a pixel to be changed. This improves the image quality of the stego-image. The experimental results show that the proposed method achieves a good visual quality and high capacity.

PIV에서의 보간기법의 평가에 관한 연구 (A Study on the Evaluation of Interpolation Methods in PIV)

  • 최장운;조대한;최민선;이영호
    • Journal of Advanced Marine Engineering and Technology
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    • 제20권4호
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    • pp.90-100
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    • 1996
  • To maintain high spacial accuracy and rapid CPU time in interpolating data from grid to random position or inversely in PIV, proposed many technuques are compared and discussed mainly in terms of interpolating error and computing time. And artificial PIV atmosphere data is furnished by CFD result. First, for interpolation from grid to random position, multiquadric method gives the highest accuracy with the longest CPU time and Taylor series expansion methods give reasonable accuracy with less calculating load. Secondly, the sub-pixel resolution analysis in estimating the coordinates of the maximum correlation coefficients essential in the grey level correlation PIV reveal that 8-neighbours 2nd-order least square interpolation gives utmost accuracy in terms of the real flow conditions.

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PIV에서의 보간기법의 평가에 관한 연구 (A Study on the Evaluation of Interpolation Methods in PIV)

  • 최장운;조대환;최민선;이영호
    • Journal of Advanced Marine Engineering and Technology
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    • 제20권4호
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    • pp.412-412
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    • 1996
  • To maintain high spacial accuracy and rapid CPU time in interpolating data from grid to random position or inversely in PIV, proposed many technuques are compared and discussed mainly in terms of interpolating error and computing time. And artificial PIV atmosphere data is furnished by CFD result. First, for interpolation from grid to random position, multiquadric method gives the highest accuracy with the longest CPU time and Taylor series expansion methods give reasonable accuracy with less calculating load. Secondly, the sub-pixel resolution analysis in estimating the coordinates of the maximum correlation coefficients essential in the grey level correlation PIV reveal that 8-neighbours 2nd-order least square interpolation gives utmost accuracy in terms of the real flow conditions.

Elemental Image Generation Method with the Correction of Mismatch Error by Sub-pixel Sampling between Lens and Pixel in Integral Imaging

  • Kim, Jonghyun;Jung, Jae-Hyun;Hong, Jisoo;Yeom, Jiwoon;Lee, Byoungho
    • Journal of the Optical Society of Korea
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    • 제16권1호
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    • pp.29-35
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    • 2012
  • We propose a subpixel scale elemental image generation method to correct the errors created by finite display pixel size in integral imaging. In this paper, two errors are mainly discussed: pickup-and-display mismatch error and mismatch error between pixel pitch and lens pitch. The proposed method considers the relative positions between lenses and pixels in subpixel scale. Our proposed pickup method calculates the position parameters, generates an elemental image with pixels completely inside the lens, and generates an elemental image with border pixels using a weighted sum method. Appropriate experiments are presented to verify the validity of the proposed method.

지문영상 처리를 위한 개선된 병렬 세선화 알고리즘 (Improved Parallel Thinning Algorithm for Fingerprint image Processing)

  • 권준식
    • 대한전자공학회논문지SP
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    • 제41권3호
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    • pp.73-81
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    • 2004
  • 지문영상에서 신뢰할 만한 특징을 추출하기 위한 세선화 알고리즘은 전처리 과정에 있어서 매우 중요한 부분을 차지한다. 본 논문에서 제안하는 세선화 알고리즘은 2치화된 지문영상의 연결성을 파괴하지 않고, 중심선에 가장 관접한 골격선을 최소 1화소 두께로 만들 수 있는 강건한 병렬 세선화 알고리즘을 제안하는 것이다. 제안한 기법은 3개의 부반복에 의해 반복 수행되며, 첫 번째 부반복은 내부점에 의해 최외각 경계 화소만을 제거하는 것이며, 두 번째 부반복은 2화소 두께의 골격선을 찾아 한쪽 골격선만을 추출한다. 세 번째 부반복은 골격선에 여분으로 존재하는 2화소 두께의 화소를 제거한다. 따라서 제안하는 세선화 방법은 회전과 잡음에 강건하며 균형 잡힌 중심선을 만들어낸다. 세선화 알고리즘의 성능을 평가하기 위하여 이전에 발표된 알고리즘들과 비교 분석하였다.

Matching Performance Analysis of Upsampled Satellite Image and GCP Chip for Establishing Automatic Precision Sensor Orientation for High-Resolution Satellite Images

  • Hyeon-Gyeong Choi;Sung-Joo Yoon;Sunghyeon Kim;Taejung Kim
    • 대한원격탐사학회지
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    • 제40권1호
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    • pp.103-114
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    • 2024
  • The escalating demands for high-resolution satellite imagery necessitate the dissemination of geospatial data with superior accuracy.Achieving precise positioning is imperative for mitigating geometric distortions inherent in high-resolution satellite imagery. However, maintaining sub-pixel level accuracy poses significant challenges within the current technological landscape. This research introduces an approach wherein upsampling is employed on both the satellite image and ground control points (GCPs) chip, facilitating the establishment of a high-resolution satellite image precision sensor orientation. The ensuing analysis entails a comprehensive comparison of matching performance. To evaluate the proposed methodology, the Compact Advanced Satellite 500-1 (CAS500-1), boasting a resolution of 0.5 m, serves as the high-resolution satellite image. Correspondingly, GCP chips with resolutions of 0.25 m and 0.5 m are utilized for the South Korean and North Korean regions, respectively. Results from the experiment reveal that concurrent upsampling of satellite imagery and GCP chips enhances matching performance by up to 50% in comparison to the original resolution. Furthermore, the position error only improved with 2x upsampling. However,with 3x upsampling, the position error tended to increase. This study affirms that meticulous upsampling of high-resolution satellite imagery and GCP chips can yield sub-pixel-level positioning accuracy, thereby advancing the state-of-the-art in the field.

가우시간 보간을 이용한 영상 패턴의 폭 측정에 관한 연구 (A study on the Width Measurement of Image Patterns Using Gaussian Interpolation)

  • 김경범
    • 반도체디스플레이기술학회지
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    • 제21권3호
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    • pp.12-16
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    • 2022
  • In this paper, a method for measuring image pattern widths is proposed using gaussian interpolation, in order to improve inconsistent results coming from the different directions in image patterns. The performance of our method is evaluated using image patterns with 9 directions, and compared with previous methods. It is confirmed that the proposed method gives accurate and consistent width results regardless of pattern directions.

Extraction of the aquaculture farms information from the Landsat- TM imagery of the Younggwang coastal area

  • Shanmugam, P.;Ahn, Yu-Hwan;Yoo, Hong-Ryong
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
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    • pp.493-498
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    • 2004
  • The objective of the present study is to compare various conventional and recently evolved satellite image-processing techniques and to ascertain the best possible technique that can identify and position of aquaculture farms accurately in and around the Younggwang coastal area. Several conventional techniques performed to extract such information fiom the Landsat-TM imagery do not seem to yield better information about the aquaculture farms, and lead to misclassification. The large errors between the actual and extracted aquaculture farm information are due to existence of spectral confusion and inadequate spatial resolution of the sensor. This leads to possible occurrence of mixture pixels or 'mixels' of the source of errors in the classification techniques. Understanding the confusing and mixture pixel problems requires the development of efficient methods that can enable more reliable extraction of aquaculture farm information. Thus, the more recently evolved methods such as the step-by-step partial spectral end-member extraction and linear spectral unmixing methods are introduced. The farmer one assumes that an end-member, which is often referred to as 'spectrally pure signature' of a target feature, does not appear to be a spectrally pure form, but always mix with the other features at certain proportions. The assumption of the linear spectral unmxing is that the measured reflectance of a pixel is the linear sum of the reflectance of the mixture components that make up that pixel. The classification accuracy of the step-by-step partial end-member extraction improved significantly compared to that obtained from the traditional supervised classifiers. However, this method did not distinguish the aquaculture ponds and non-aquaculture ponds within the region of the aquaculture farming areas. In contrast, the linear spectral unmixing model produced a set of fraction images for the aquaculture, water and soil. Of these, the aquaculture fraction yields good estimates about the proportion of the aquaculture farm in each pixel. The acquired proportion was compared with the values of NDVI and both are positively correlated (R$^2$ =0.91), indicating the reliability of the sub-pixel classification.ixel classification.

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오차 최소화된 정밀 광삼각법 프로브의 해석 및 설계 (Design & Analysis of an Error-reduced Precision Optical Triangulation Probes)

  • 김경찬;오세백;김종안;김수현;곽윤근
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2000년도 춘계학술대회논문집A
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    • pp.411-414
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    • 2000
  • Optical Triangulation Probes (OTPs) are widely used for their simple structure. high resolution, and long operating range. However, errors originating from speckle, inclination of the object, source power fluctuation, ambient light, and noise of the detector limit their usability. In this paper, we propose new design criteria for an error-reduced OTP. The light source module for the system consists of an incoherent light source and a multimode optical fiber for eliminating speckle and shaping a Gaussian beam Intensity profile. A diffuse-reflective white copy paper, which is attached to the object, makes the light intensity distribution on the change-coupled device(CCD). Since the peak positions of the intensity distribution are not related to the various error sources, a sub-pixel resolution signal processing algorithm that can detect the peak position makes it possible to construct an error-reduced OTP system

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