• 제목/요약/키워드: Shape From Focus

검색결과 240건 처리시간 0.036초

고차 통계 초점 척도를 이용한 3D 모델 복원 알고리즘 (3D Model Reconstruction Algorithm Using a Focus Measure Based on Higher Order Statistics)

  • 이주현;윤현주;한규필
    • 한국멀티미디어학회논문지
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    • 제16권1호
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    • pp.11-18
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    • 2013
  • 본 논문에서는 정확한 깊이를 추출하기 위해 고차 통계기반 초점 척도를 이용한 SFF(shape from focus) 알고리즘을 제시한다. 기존의 SFF기반 3차원 깊이 복원 기법들은 초점 척도로 SML(sum of modified Laplacian)을 사용하기 때문에, 성능이 영상의 특성에 크게 의존하여 초점이 정밀하거나 질감이 풍부한 영상에서만 효율적이다. 그러므로, 본 논문에서는 비교적 질감과 초점이 빈약한 영상에서도 초점 값을 추출할 수 있도록 고차 통계(HOS:higher order statistics)를 이용한 알고리즘을 제안한다. 이 초점 척도에 의해 초점 영역 맵이 생성되고 국부적으로 최적의 초점 값을 갖는 화소를 추출하기 위해 영역개선, 세선화, 모서리 검출과정이 순서적으로 적용된다. 최종적으로 추출된 점에 대해서 Delaunay 삼각화를 사용하여 3차원 모델정보를 생성한다.

복합초점함수의 시간열 영상적용을 통한 3 차원정보복원에 관한 연구 (Research for 3-D Information Reconstruction by Appling Composition Focus Measure Function to Time-series Image)

  • 김정길;한영준;한헌수
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.426-429
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    • 2004
  • To reconstruct the 3-D information of a irregular object, this paper proposes a new method applying the composition focus measure to time-series image. A focus measure function is carefully selected because a focus measure is apt to be affected by the working environment and the characteristics of an object. The proposed focus measure function combines the variance measure which is robust to noise and the Laplacian measure which, regardless of an object shape, has a good performance in calculating the focus measure. And the time-series image, which considers the object shape, is proposed in order to efficiently applying the interesting window. This method, first, divides the image frame by the window. Second, the composition focus measure function be applied to the windows, and the time-series image is constructed. Finally, the 3-D information of an object is reconstructed from the time-series images considering the object shape. The experimental results have shown that the proposed method is suitable algorithm to 3-D reconstruction of an irregular object.

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귀납적 일반화를 이용한 형태지식의 습득과 디자인에 관한 연구 (A Study on the Learning Shape Knowledge and Design with Inductive Generalization)

  • 차명열
    • 한국실내디자인학회논문집
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    • 제19권6호
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    • pp.20-29
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    • 2010
  • Art historians and critics have defined the style as common features appeared in a class of objects. Abstract common features from a set of objects have been used as a bench mark for date and location of original works. Commonalities in shapes are identified by relationships as well as physical properties from shape descriptions. This paper will focus on how the computer and human can recognize common shape properties from a class of shape objects to learn design knowledge. Shape representation using schema theory has been explored and possible inductive generalization from shape descriptions has been investigated. Also learned shape knowledge can be used. for new design process as design concept. Several design process such as parametric design, replacement design, analogy design etc. are used for these design processes. Works of Mario Botta and Louis Kahn are analyzed for explicitly clarifying the process from conceptual ideas to final designs. In this paper, theories of computer science, artificial intelligence, cognitive science and linguistics are employed as important bases.

오류 보정을 이용한 초점 이미지들로부터의 깊이 추출 (Depth Extraction From Focused Images Using The Error Interpolation)

  • 김진사;노경완;김충원
    • 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.

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주성분 분석을 이용한 포커스 측정 기법 (A New Focus Measure Using Principal Component Analysis)

  • 이익현;타릭마무드;최태선
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.1007-1008
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    • 2008
  • This paper introduces a new focus measure using Principal Component Analysis (PCA) for Shape from Focus (SFF). A neighborhood consisting of seven pixels is taken and the focus quality is computed over the whole sequence. The experimental results demonstrate effectiveness and robustness of the proposed method.

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선형배율보정을 통한 DFF 기반의 삼차원 형상 측정법 (A Measurement Method of Three-Dimensional Surface Morphology Based on Depth-from-Focus through Linear Magnification Calibration)

  • 김경범;신영수
    • 한국정밀공학회지
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    • 제22권9호
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    • pp.115-122
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    • 2005
  • Errors resulting from magnification variations of a optical system are largely generated in three-dimensional shape measurements based on depth-from-focus. In the case of measuring the surface morphology of tiny objects based on DFF, images are acquired with a very small interval so that magnification changes can be minimized. However, the magnification variations are actually existed in the acquired images and so focus measures are wrongly or ambiguously extracted. In this paper, a methodology with linear magnification calibrations, based on DFF, is proposed to make more accurate measurement in surface morphology with high depth discontinuity, compared with previous ones. Several experiments show that the proposed method outperforms existing ones without magnification calibrations.

Development of New Optimized Sampling method for 3D Shape Recovery in the Presence of Noise

  • Lee, Hyeong-Geun;Jang, Hoon-Seok
    • 한국정보전자통신기술학회논문지
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    • 제13권2호
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    • pp.113-122
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    • 2020
  • Noise affects the accuracy of three-dimensional shape recovery. Its occurrence is unpredictable and depends on several mechanical, environmental, and other factors. When two-dimensional image sequences are obtained for shape from focus (SFF), mechanical vibration occurs in the translational stage, causing an error in the three-dimensional shape recovery. To address this issue, mechanical vibration is modeled using Newton's second law and the principle of the rack and pinion gear. Then, an optimal sampling step size considering the mechanical vibration is suggested through theoretical demonstration. Experiments conducted with real objects verify the effectiveness of the proposed sampling step size. In this paper, in a realistic environment with noise, the potential of obtaining more accurate three-dimensional reconstruction results of the objects is explored by acquiring the optimal sampling step size, which improves the sampling step size relative to those reported in a previous study performed under similar conditions.

다초점 세포 영상으로부터 추정된 초점 값을 이용한 3차원 형태 복원 (3D Shape Reconstruction using the Focus Estimator Value from Multi-Focus Cell Images)

  • 최예준;이동우;김명희;최수미
    • 한국컴퓨터그래픽스학회논문지
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    • 제23권4호
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    • pp.31-40
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    • 2017
  • 최근 3차원 세포 배양이 가능해 지면서 세포의 부피, 3차원 형태 등을 보다 정확하게 확인할 수 있게 되었다. 일반적으로 세포의 3차원 단층 정보는 공초점 현미경 또는 전자 현미경과 같은 특수한 현미경을 이용하여 관찰 해야 한다. 그러나 공초점 현미경은 일반 현미경에 비해 비용이 비싸며, 촬영 시간이 오래 걸린다. 따라서 일반적으로 사용되는 광학 현미경으로 세포의 3차원 형태복원을 하는 방법이 필요하다. 본 논문에서는 다초점 형광 영상을 기반으로 영상의 추정된 초점 값(focus estimator value)을 이용해 세포를 3차원으로 형태 복원하는 방법을 제안한다. 먼저 3차원으로 배양된 세포를 광학 현미경으로 초점을 변경 하면서 다초점 영상들을 촬영한다. 이후 영상에서 circular Hough transform을 이용하여 세포 군집의 대략적인 위치를 ROI(Region Of Interest)로 정한다. 획득한 ROI에 MSBF(Modified Sliding Band Filter)를 적용하여 ROI 내에 세포 군집의 외곽선을 추출하고, 추출된 외곽선을 기준으로 추정 초점 값을 구한다. 계산된 초점 값과 현미경의 NA(Numerical Aperture)을 이용하여 깊이를 고려한 세포 군집의 외곽선을 추출하고 추출된 외곽선을 통해 세포들을 3차원으로 형태 복원한다. 복원 결과는 세포 영상의 in-focus가 된 부분들을 하나로 합친 영상과 비교하여 검증한다.

광학계의 배율 변화를 고려한 DFF 기반의 형상 측정법 (A Measurement Method of Surface Morphology Based on Depth-from-Focus with Magnification Variations of Optical System)

  • 신영수;김경범
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2004년도 추계학술대회 논문집
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    • pp.1500-1503
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    • 2004
  • Errors resulting from magnification variations of optical system are largely generated in three-dimensional shape measurements. In the case of measuring the surface morphology of tiny objects based on DFF, images are acquired with a very small interval and then magnification changes are minimized. However, the magnification variations are actually existed in optical system and so focus measures in DFF are wrongly or ambiguously extracted. in this paper, a methodology based on DFF with the magnification changes is proposed to make more accurate measurement in surface morphology with high depth discontinuity, compared with previous ones. Several experiments show that the proposed method outperforms existing ones without magnification changes.

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광학부품용 비세홈의 금형가공에 있어서 버와 형상변형에 관한 연구 (Burr and shape distorion in micro-grooving of optical componets)

  • 임한석;안중환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1996년도 춘계학술대회 논문집
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    • pp.53-57
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    • 1996
  • The side burrs and shape distortion resulting from the micromachining of an array of V-shape microgrooves in optical components were experimentally invesigated and a simplified model for their formation is proposed. Burr/shpae distortion should be kept to a minimum level since they degrade the characteristics and performance of these parts. The focus of this study is on the influence of depth of cut and workpiece material. The workpiece materials use were brass, bronze and copper. From the obsevation of the chip shape and burr/shape distortion, the proposed model, that the compressive force at the cutting edge causess the ductile uncut chip material to flow plastically outward toward the free surface to result in a burr, was verified.

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