• 제목/요약/키워드: Plane estimation

검색결과 377건 처리시간 0.029초

Absolute Depth Estimation Based on a Sharpness-assessment Algorithm for a Camera with an Asymmetric Aperture

  • Kim, Beomjun;Heo, Daerak;Moon, Woonchan;Hahn, Joonku
    • Current Optics and Photonics
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    • 제5권5호
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    • pp.514-523
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    • 2021
  • Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.

HEVC RExt RGB 영상의 색평면 간 예측 향상을 위한 적응적 필터링 기법 (An Adaptive Filtering Method for Enhancement of Inter-color Plane Estimation in HEVC RExt RGB Images)

  • 최장원;최윤식
    • 방송공학회논문지
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    • 제18권4호
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    • pp.647-650
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    • 2013
  • HEVC RExt(High Efficiency Video Coding Range Extension)는 RGB/YUV 4:2:2 4:4:4 색 샘플링 영상과 10비트 심도 이상의 영상 지원을 목표로 한다. RGB 영상은 YUV 4:2:0 색 샘플링 영상과는 달리 색평면 간 높은 상관도를 갖고 있으며, 이를 이용하여 화소값을 예측하는 기법들이 JCT-VC 표준화 회의에서 기고되었다. 하지만 일반적으로 RGB 영상의 고주파수 성분은 색평면 간 낮은 상관도를 갖고 있으며, 이는 색평면 간 예측 시 부호화 효율 저하의 원인이 된다. 따라서 본 논문에서는 색평면 간 예측 시 고주파수 성분을 저역통과필터를 통해 적응적으로 제거하는 기법을 제안한다. HEVC RExt의 RGB 영상을 통한 실험 결과, 본 논문에서 제안하는 기법은 기존 색평면 간 예측 기법에 비해 큰 복잡도의 증가 없이 평균 0.6%의 BD(Bjontegaard Distortion)-율 이득을 얻을 수 있었다.

Evidence gathering for line based recognition by real plane

  • 이재규;류문욱;이장원
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2008년도 학술대회 1부
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    • pp.195-199
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    • 2008
  • We present an approach to detect real plane for line base recognition and pose estimation Given 3D line segments, we set up reference plane for each line pair and measure the normal distance from the end point to the reference plane. And then, normal distances are measured between remains of line endpoints and reference plane to decide whether these lines are coplanar with respect to the reference plane. After we conduct this coplanarity test, we initiate visibility test using z-buffer value to prune out ambiguous planes from reference planes. We applied this algorithm to real images, and the results are found useful for evidence fusion and probabilistic verification to assist the line based recognition as well as 3D pose estimation.

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가속도계와 자이로스코프를 이용한 평면의 경사각 추정 (Tilt Angle Estimation of Plane with a Pair of Accelerometers and a Gyroscope)

  • 강민식
    • 한국소음진동공학회논문집
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    • 제23권11호
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    • pp.966-972
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    • 2013
  • Measurement or estimation of tilt angle is necessary for balancing robot such as Segway which is considered as a next generation transportation vehicle. However, it requires high-cost accurate sensors to hold balancing during stationary and moving situations. In this paper, a tilt angle estimation of a plane rotating in a vertical plane using low-cost sensors. Estimation using a set of 2-axis orthogonal accelerometers along with an inaccurate rate gyro has been considered. Feasibility and performance of the proposed technique has been verified through some experimental results.

RGB-D 카메라를 이용한 실시간 가상 현실 평면 추정 (A Real-time Plane Estimation in Virtual Reality Using a RGB-D Camera in Indoors)

  • 이주호;조정원
    • 디지털융복합연구
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    • 제14권11호
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    • pp.319-324
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    • 2016
  • 실내에서 카메라를 이용한 로봇 응용이나 가상현실(Virtual Reality) 응용의 경우 평면을 찾고 추정하는 기술은 매우 중요한 기술이다. RGB-D 카메라의 경우 실내의 평면에서 질감 정보가 없는 평면에서도 3차원 관측 데이터를 얻을 수 있지만, 이미지 영역에서 점군 데이터(Point-cloud Data)를 처리하기 위해서는 많은 연산량이 필요하다. 더군다나 현재 관측되고 있는 평면의 개수가 몇 개인지 미리 알 수 없으며, 평면으로 검출(Plane Detection) 하더라도 강인하게 3차원에서 평면을 추정(Plane Estimation)하려면 추가적인 연산이 필요하다. 본 논문에서는 연속 데이터를 이용해 실시간으로 평면의 개수를 선택하며 평면을 추정하는 방법을 제시하고자 한다. 실험 결과를 통해 제안하는 방법이 전체 데이터를 처리하는 것에 비해 약 22배의 속도 개선을 가져 올 수 있음을 보였다.

Deformation estimation of plane-curved structures using the NURBS-based inverse finite element method

  • Runzhou You;Liang Ren;Tinghua Yi ;Hongnan Li
    • Structural Engineering and Mechanics
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    • 제88권1호
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    • pp.83-94
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    • 2023
  • An accurate and highly efficient inverse element labelled iPCB is developed based on the inverse finite element method (iFEM) for real-time shape estimation of plane-curved structures (such as arch bridges) utilizing onboard strain data. This inverse problem, named shape sensing, is vital for the design of smart structures and structural health monitoring (SHM) procedures. The iPCB formulation is defined based on a least-squares variational principle that employs curved Timoshenko beam theory as its baseline. The accurate strain-displacement relationship considering tension-bending coupling is used to establish theoretical and measured section strains. The displacement fields of the isoparametric element iPCB are interpolated utilizing nonuniform rational B-spline (NURBS) basis functions, enabling exact geometric modelling even with a very coarse mesh density. The present formulation is completely free from membrane and shear locking. Numerical validation examples for different curved structures subjected to different loading conditions have been performed and have demonstrated the excellent prediction capability of iPCBs. The present formulation has also been shown to be practical and robust since relatively accurate predictions can be obtained even omitting the shear deformation contributions and considering polluted strain measures. The current element offers a promising tool for real-time shape estimation of plane-curved structures.

평면 음향 홀로그래피에서 센서간 특성 차이와 측정 위치의 부정확성에 의한 음압 추정 오차의 정량화 (Quantification of Acoustic Pressure Estimation Error due to Sensor and Position Mismatch in Planar Acoustic Holography)

  • 남경욱;김양한
    • 소음진동
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    • 제8권6호
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    • pp.1023-1029
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    • 1998
  • When one attempts to construct a hologram. one finds that there are many sources of measurement errors. These errors are even amplified if one predicts the pressures close to the sources. The pressure estimation errors depend on the following parameters: the measurement spacing on the hologram plane. the prediction spacing on the prediction plane. and the distance between the hologram and the prediction plane. This raper analyzes quantitatively the errors when these are distributed irregularly on the hologram plane The sensor mismatch and inaccurate measurement location. position mismatch. are mainly addressed. In these cases. one can assume that the measurement is a sample of many measurement events. The bias and random error are derived theoretically. Then the relationship between the random error amplification ratio and the parameters mentioned above is examined quantitatively in terms of energy.

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수중함의 함미타 효율추정을 위한 수학모델링에 관한 연구 (A Research on the Mathematical Modeling for the Estimation of Underwater Vehicle's Tail Plane Efficiency)

  • 신용구;임경식;이승건
    • 대한조선학회논문집
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    • 제42권3호
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    • pp.190-196
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    • 2005
  • The ratio between the hydrodynamic force produced by a submarine tau appendage and that acting on an equivalent appendage in isolation is regarded as tail plane efficiency. It is an important parameter in numerical simulations because it has a significant effect on predicted stability, controllability, and maneuverability. The paper introduces some recent work to improve the reliability and general applicability of current methods of tail plane efficiency estimation.

호모그래피행렬을 이용한 노면검출 (Ground Plane Detection Using Homography Matrix)

  • 이기용;이준웅
    • 제어로봇시스템학회논문지
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    • 제17권10호
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    • pp.983-988
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    • 2011
  • This paper presents a robust method for ground plane detection in vision-based applications based on a monocular sequence of images with a non-stationary camera. The proposed method, which is based on the reliable estimation of the homography between two frames taken from the sequence, aims at designing a practical system to detect road surface from traffic scenes. The homography is computed using a feature matching approach, which often gives rise to inaccurate matches or undesirable matches from out of the ground plane. Hence, the proposed homography estimation minimizes the effects from erroneous feature matching by the evaluation of the difference between the predicted and the observed matrices. The method is successfully demonstrated for the detection of road surface performed on experiments to fill an information void area taken place from geometric transformation applied to captured images by an in-vehicle camera system.

깊이 화면의 평면 부호화를 위한 가변 블록 크기 결정 방법 (Method for Determining Variable-Block Size of Depth Picture for Plane Coding)

  • 권순각;이동석
    • 한국산업정보학회논문지
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    • 제22권3호
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    • pp.39-47
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    • 2017
  • 깊이 화면을 부호화함에 있어서 깊이 화면의 일부를 평면으로 추정하여 부호화하는 평면 부호화 모드를 적용할 수 있다. 본 논문에서는 평면 부호화 모드를 통한 깊이 영상 부호화에서 가변 블록 부호화를 위해 가변 블록 크기를 결정하는 방법을 제안한다. 깊이를 통해 블록 내 화소에 대해 제일 근접한 평면을 추정하는 방법을 통해 평면 부호화를 수행할 수 있다. 평면 부호화를 수행할 때, 가변 블록 부호화를 다음과 같이 적용할 수 있다. 먼저 최대 블록 크기에 대하여 추정 오차를 계산한 뒤 오차가 임계값 이하라면 해당 블록 크기가 선택 된다. 반면 오차가 임계값을 초과한다면 해당 블록이 분할되고 위 과정을 반복한다. 분할된 블록 크기가 최소 블록 크기 미만이 되면 해당 블록은 평면 부호화 모드로 선택되지 않는다. 제안된 방법을 실험한 결과, 부호화하여야 할 블록의 개수가 평면으로 이루어진 영상에서 고정 블록 크기를 이용한 방법에 비해 19%로 줄었다.