• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.627-630
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• 1999

For depth extraction from the focus and recovery the shape, determination of criterion function for focus measure and size of the criterion window are very important. However, Texture, illumination, and magnification have an effect on focus measure. For that reason, depth map has a partial high and low peak. In this paper, we propose a depth extraction method from focused images using the error interpolation. This method is modified the error depth into mean value between two normal depth in order to improve the depth map.

• 한국항만학회지
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• 제14권1호
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• pp.97-105
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• 2000

This paper presents an automatic mesh generation considering water depth, which is based on the depth interpolation. The key feature of this method is that the position of a mesh on any depth in the shallow water area can be generated. The Examples are carried out, and the results are shown to be good. This method is shown to be a useful and powerful tool for the flow calculation for the seabed topography.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2004년도 Asia Navigation Conference
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• pp.37-44
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• 2004

Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

• 제어로봇시스템학회논문지
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• 제8권10호
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• pp.874-880
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• 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.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.129.1-129
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• 2001

In this paper, we present an approach for matching images from finding interesting points and applying new image interpolation algorithm. New algorithms are developed that automatically align the input images match them and reconstruct 3-D surfaces. The interpolation algorithm is designed to cope with simple shapes. The proposed image interpolation algorithm generate a rotation image about vertical axes by an any angle from 4 base images. Each base image that was obtained from CCD camera has an angle difference of 90$^{\circ}$ The proposed image interpolation algorithm use the geometric analysis of image and depth information.

• 방송공학회논문지
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• 제17권3호
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• pp.459-470
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• 2012

본 논문은 영상 보간법을 이용하여 저해상도 깊이맵을 고해상도 깊이맵으로 변환하는 방법을 제안한다. 현재의 카메라 센서는 고해상도 색상 영상을 제공하는데 반해, 깊이 측정 장치는 저해상도의 깊이맵을 주로 제공한다. 본 논문은 기존의 양선형 보간법, 고등차수 보간법, 양측 보간법을 바탕으로 깊이맵에서 추출한 고주파 성분을 적용하여 깊이맵의 선명도를 증가한다. 이를 위해, 제안 방법은 고주파 성분 추출 단계, 고주파 성분 적용 단계, 및 영상 보간 단계를 거친다. 실험에서는 다양한 깊이맵 데이터에 제안 방법을 적용하였는데, 성능검증 방법으로 선명도(sharpness degree)와 블러 메트릭 (blur metric)의 두 객관적 측정을 통해서 제안 방법이 기존 방법에 비해 선명도가 약 2배 정도 증가했음을 보여준다. 또한 블러 메트릭은 평균 14%가 감소되었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.571-576
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• 2004

In this study, we selected the most effective interpolation method using both the data of sounding the depth of submarine topography and volume-production computer program. After processing the data by volume-production program, and then we selected the most effective interpolation method which nearest actual value of dredged soil quantity. Thus, these interpolation could be used for describing the optimal submarine topography.

• 한국항해항만학회지
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• 제28권7호
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• pp.629-634
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• 2004

Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

• 한국지리정보학회지
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• 제23권3호
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• pp.85-99
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• 2020

흐르는 물을 저장하여 공업, 농업, 상수도, 수력발전 등의 다양한 이용과 관광자원으로도 활용할 수 있는 저수지는 중요한 사회기반시설중의 하나이다. 그러므로 저수지의 유지관리는 행정 및 기술적 방안들을 동원하여 관리주체별로 정기적으로 수행되며, 저수지의 유지관리를 위해서는 저수지 하상 파악이 우선적이다. 이를 위하여 본 연구에서는 비교적 신뢰가 높은 Echo sounder를 이용한 방류전의 저수지 수심 측량과 방류후의 저수지 지형 측량을 UAV에 의하여 실시하였다. 그리고 수심 측량 자료를 Inverse Distance Weighting 보간, Kriging 보간, Minimum curvature 보간, Radial basis function 보간 등의 공간 보간별로 저수지의 내용적을 산출하여 UAV에 의한 방류 후 내용적 및 단면적을 비교 분석함으로 다음과 같은 결과를 알 수 있었다. 첫째, UAV에 의한 지형 자료와 Echo sounder에 의한 수심 자료를 공간 보간 기법별 적용 결과 Kriging 보간이 약 97%의 저수지 내용적 정확도를 확인 할 수 있었다. 둘째, 저수지 하상의 형상 비교를 위하여 검토 단면 설정 후 지형 선형과 보간별 선형의 상이 면적차를 비교한 결과 Kriging 보간이 최소 단면적 차이를 보임으로 지형 선형과의 가장 유사 형상임을 알 수 있었다. 따라서 Echo sounder에 의해 취득된 수심 자료로 저수지 하상의 최적 모델링 구축시 저수지의 효율적 유지관리에 기초적 자료 제공이 가능하리라 판단된다.

• 한국멀티미디어학회논문지
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• 제20권12호
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• pp.1865-1873
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• 2017

The feature-based visual SLAM requires 3D positions for the extracted feature points to perform 3D-2D motion estimation. LiDAR can provide reliable and accurate 3D position information with low computational burden, while stereo camera has the problem of the impossibility of stereo matching in simple texture image region, the inaccuracy in depth value due to error contained in intrinsic and extrinsic camera parameter, and the limited number of depth value restricted by permissible stereo disparity. However, the sparsity of LiDAR data may increase the inaccuracy of motion estimation and can even lead to the result of motion estimation failure. Therefore, in this paper, we propose three interpolation methods which can be applied to interpolate sparse LiDAR data. Simulation results obtained by applying these three methods to a visual odometry algorithm demonstrates that the selective bilinear interpolation shows better performance in the view point of computation speed and accuracy.