• Title/Summary/Keyword: 3D-복원

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A Study on Delta Image Composition Methods of the Depth-Image-Based Rendering for the Generation of Stereoscopic Images on Mobile Devices (모바일 장치에서 입체 영상 생성을 위한 깊이 영상 기반 렌더링의 부가 정보 영상 구성 방법에 관한 연구)

  • Kim, Min-Young;Park, Kyoung-Shin;Choo, Hyon-Gon;Kim, Jin-Woong;Cho, Yong-Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1428-1436
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    • 2012
  • This paper presents the delta image composition methods using Depth-Image-Based Rendering (DIBR) for 3D stereoscopic broadcasting for the low bandwidth mobile DMB broadcasting system. With DIBR, a left and depth images are transmitted to a mobile device, which restores the right view, whose quality may be poor. This paper describes delta image composition methods for the restoration while minimizing the amount of the transmitted data.

A algorithm development on optical freeform surface reconstruction (광학식 자유곡면 형상복원 알고리즘 개발)

  • Kim, ByoungChang
    • Journal of the Korea Convergence Society
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    • v.7 no.5
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    • pp.175-180
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    • 2016
  • The demand for accurate freeform apsheric surface is increasing to satisfy the optical performance. In this paper, we develop the algorithm for opto-mechatronics convergence, that reconstruct the surface 3D profiles from the curvarure data along two orthogonal directions. A synthetic freeform surface with 8.4 m diameter was simulated for the testing. The simulation results show that the reconstruction error is 0.065 nm PV(Peak-to-valley) and 0.013 nm RMS(Root mean square) residual difference. Finally the sensitivity to noise is diagnosed for probe position error, the simulation results proving that the suggested method is robust to position error.

A Derivation of the Accuracy Relationship between the Reconstruction of 3D Object Coordinates and the Number of Closed Curves (폐곡선의 수에 따른 3차원 물체의 좌표 복원 정확도 관계 도출)

  • Lee, Deokwoo
    • Journal of Korea Multimedia Society
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    • v.20 no.7
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    • pp.1004-1013
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    • 2017
  • This paper presents a relationship between the number of curves and geometric parameters of a 3D object. Once the relationship is established, the number of closed curves that can reliably represent 3D object is derived. Inspired by Shannon-Nyquist Sampling Theorem, in this paper, approach for sampling rate (defined as the minimum number of curves) for 3D reconstruction is proposed. The relationship is straightforward, is suitable for application to 3D object overlaid with closed-continuous curves, and can achieve efficient 3D reconstruction system in practice. To substantiate the proposed approach, simulation results are provided and the results show that the number of curves can be decreased without loss of generality of characteristics of a target 3D object.

Construction of 3D shapes of objects from reconstructed 3D points (복원된 3차원 점들로부터 3차원 객체 모양 구성)

  • Mlyahilu, John;Kim, Jongnam
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.822-824
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    • 2018
  • Estimation of 3-D objects from 2-D images is inherently performed by either motion or scene features methods as it has been described in different literatures. Structure from motion as a method employed in this study uses calibrated camera and reconstructed 3-D points from the structure of the scene for reliable and precise estimates. In this study we construct 3-D shapes using color pixels and reconstructed 3-D points to determine observable differences for the constructed 3-D images. The estimation using reconstructed 3-D points indicates that the sphere is recovered by the use of scale factor due to its known size while the one obtained by using color pixels has look similar to the former but different in the scales of the axes.

Reconstruction of April-August Precipitation in Mt. Sorak Region from Tree Rings (나무나이테를 이용한 설악산 지역의 4월~8월 총강수량 복원)

  • ;;Liu Yu
    • The Korean Journal of Quaternary Research
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    • v.15 no.1
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    • pp.47-52
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    • 2001
  • April∼August precipitation (141 years : A.D. 1858∼1998) of Mt. Sorak region (East-central Korea) was reconstructed using a tree-ring chronology of Pinus densiflora sampled from Beakdam Shelter area. During the reconstructed Periods, dry periods were 1880∼1887, 1893∼1901 and 1922∼1938, and wet one 1906∼1918. In the long-term variation, the late 19th and early 20th century were drier than the late 20th century. Major wet/dry periodicities in April∼August precipitation series reconstructed were 3.16 and 4.14 years, indicating that short-term variation were more prominent than long-term one.

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The Java3D Reconstruction from OpenGL Command Caputure (OpenGL 명령어 캡쳐를 통한 Java3D 복원)

  • 박수호;정기숙;권순일;최현미;박찬;고영덕;정순기
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.901-903
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    • 2004
  • 최근 유비쿼터스 게임의 성장과 더불어 이기종의 환경에서 새로운 기법들로 보여질 수 있는 연구가 활발히 진행되고 있다. 본 논문에서는 이기종 환경에서 임의의 OpenGL 기반의 PC 게임이나 게임 뷰어가 있는데서 Java3D 형태로 재복원해서 볼 수 있는 방법을 제안한다. 결과적으로 구조적인 장면 그래프에서 사건을 처리하고, Parser에서 OpenGL Primitive들의 정점 정보를 해석해서 계층 구조를 변화시킴으로서 보다 빠른 실시간 렌더링을 구현하고자 한다.

Estimation of the Fundamental Matrix using a Non-linear Minimization Technique and Its Accuracy Analysis (비선형 최소화에 의한 F행렬 추정 및 정확도 분석)

  • Eom, Seong-Hun;Lee, Jong-Su
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.657-664
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    • 2001
  • It is possible to extract a 3D models from its multiple views using the self-calibration. Though it is possible to construct 3D models of objects from their multiple views, accuracy of 3D models depends on the fundamental matrix estimated between two views. In this paper, we show the fundamental matrix accuracy can be improved by taking a non-linear minimization technique. Furthermore, the corresponding points which are completely mismatches or have greater discrepancy errors in their locations, reduce the fundamental matrix accuracy. Thus, applying the Monte Carlo technique and the non-linear minimization Levenberg-Marquardt method to remove the outliers, we can estimate the fundamental matrix with the higher accuracy.

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Image Denoising Using Nonlocal Similarity and 3D Filtering (비지역적 유사성 및 3차원 필터링 기반 영상 잡음제거)

  • Kim, Seehyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.10
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    • pp.1886-1891
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    • 2017
  • Denoising which is one of major research topics in the image processing deals with recovering the noisy images. Natural images are well known not only for their local but also nonlocal similarity. Patterns of unique edges and texture which are crucial for understanding the image are repeated over the nonlocal region. In this paper, a nonlocal similarity based denoising algorithm is proposed. First for every blocks of the noisy image, nonlocal similar blocks are gathered to construct a overcomplete data set which are inherently sparse in the transform domain due to the characteristics of the images. Then, the sparse transform coefficients are filtered to suppress the non-sparse additive noise. Finally, the image is recovered by aggregating the overcomplete estimates of each pixel. Performance experiments with several images show that the proposed algorithm outperforms the conventional methods in removing the additive Gaussian noise effectively while preserving the image details.

A study on pattern and 3D restoration of Chinese traditional women's robe, straight Ju(直裾深衣) (중국 전통 귀족 여성 예복인 직거심의(直裾深衣)의 패턴 및 3D 복원 연구)

  • Sun Yuan;Jihyeon Kim;Mi-hyang Na
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.4
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    • pp.107-122
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    • 2023
  • This study analyzed the style, dimensions, fabric patterns, colors, and fabrics of a traditional Chinese women's dress from the Zhou Dynasty, and reconstructed it in the form of a virtual garment using 3D CLO. Based on ancient flat image data and three-dimensional portrait data, who wore them, how they were worn, and how they were coordinated was analyzed. In order to analyze the size and pattern of the straight Ju Chines dress, data from the excavation report and the tomb owner's anthropometric measurements were combined to infer the wearing condition and organize the sculptural features. Dimensional analysis was carried out using a well-preserved small-scale woven cotton cloth as a restoration model, and the horizontal and vertical dimensions were reasonably estimated using the shape proportioning method. The analysis of the colors and patterns of the fabrics was based on the colors and patterns of the fabrics excavated from Masan Tomb No. 1 during the Eastern Zhou, Qin, and Han periods. Finally, a virtual model was created using data from the excavation report and the age and height information of the owner of the excavated robe, and the pose and size of the virtual model were determined using 3D CLO. Based on the previous research data, the garment was virtually sewn and simulated. The shape, pressure, and strain of the garment in different postures was also compared. Through the research direction of pattern and 3D restoration, this research maximizes the restoration of Chinese traditional women's dress and presents it in a more intuitive, comprehensive, and vivid way.

A Study on a 3D Modeling for surface Inspection of a Moving Object (비등속 이동물체의 표면 검사를 위한 3D 모델링 기술에 관한 연구)

  • Ye, Soo-Young;Yi, Young-Youl;Nam, Ki-Gon
    • Journal of the Institute of Convergence Signal Processing
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    • v.8 no.1
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    • pp.15-21
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    • 2007
  • We propose a 3D modeling method for surface inspection of non-constant velocity moving object. 1'lie laser lines reflect tile surface curvature. We can acquire 3D surface information by analyzing projected laser lines on object. In this paper, we use multi-line laser to improve the single stripe method and high speed of single frame. Binarization and edge extraction of frame image were proposed for robust laser each line extraction. A new labeling method was used for laser line labeling. We acquired some feature points for image matching from the frame data and juxtaposed the frames data to obtain a 3D shape image. We verified the superiority of proposed method by applying it to inspect container's damages.

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