• Title/Summary/Keyword: Scanned data

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Scanner Certification Tool for the Standardization of Digitized Documents: Focusing on Target Factors and Measurement Programs

  • Park, Hyung-Ju;Har, Dong-Hwan
    • International Journal of Contents
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    • v.6 no.3
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    • pp.25-29
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    • 2010
  • Scanners play an important role in digitally reproducing the color and imaging of original documents used in public offices; however, the current system lacks a standard for digitized documents created by scanners, complicating efforts to create a digitized system. In particular, macrography cannot guarantee the accuracy and reliability of digitalized color documents, pictures, and photographs created by scanners. To this end, we develop a standardized evaluation tool and test target to certify digitalized documents created by a scanner in the domestic environment. In this study, we enhance the accuracy and reliability of scanned data to create an advanced standard evaluation tool for scanners. Moreover, to produce a scanner certification standard, we overcome existing problems related to the growing market. We anticipate that this new standard will see a high degree of application in the current environment.

Modal Identification of a randomly excited 1-D structure using Scanned data (스캐닝 데이터를 이용한 랜덤 가진된 일차원 구조물의 모달 분석)

  • 경용수;왕세명;김상명;박기환
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.05a
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    • pp.241-246
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    • 2002
  • Usually vibration properties are obtained from frequency response functions or impulse response functions of a system. Since the contact type sensors can affect the characteristics of vibrating systems, the non-contact type sensors such as laser Doppler vibrometer (LDV) are being widely used. Currently researches are being carried out in terms of modal analysis using a scanning vibrometer. For the continuous scan; the Chebyshev demodulation (or polynomial) is apparently suggested to extract the mode shapes. With single frequency sinusoidal excitation, this approach is well fitted. In this research, the Chebyshev demodulation technique has been applied to the impact excitation case. The vibration of the tested structure is modeled using impulse response functions. The technique is also adopted to the random excitation case. In order to verify the technique, a simply supported beam was chosen as the test rig. The calculation modules are developed by using MATLAB$\^$(R)/ in WindowsNT$\^$(R)/ environment.

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Digital Image Processing Technique for Measurements from Non-metric Photographs (비측정용 사진의 측정을 위한 수치화상처리기법의 적용)

  • 안기원;박병욱
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.13 no.2
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    • pp.199-208
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    • 1995
  • Significant developments in the use of digital imagery for close-range photogrammetric metrology have occured in the last few years because of technological advances in digital image processing. Present day needs for applications of digital image processing technique to measurements of photographs obtained with non-metric camera at reduced cost, automation and convenience. In order for this application to be useful, a detailed procedure must be developed. Investigation of this study is given to the detailed procedure for the digital measurements of the object space data from the scanned non-metric photographs.

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Morphing Technique using Scanned Data and Level-Set Method (스캔 데이터와 레벨셋 방법을 이용한 몰핑 기법)

  • Lee, Tae-Ho;Lee, Seung-Wook;Cho, Seon-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2011.04a
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    • pp.565-568
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    • 2011
  • NURBS는 매개변수를 이용하여 3차원에서 곡면을 표현한 방법으로서 노트벡터, 조정점, 가중치로 구성된다. 레벨셋은 공간을 음함수로 정의된 장으로 형성하여 음함수의 일정한 값을 추적하여 곡면을 표현한 방법이다. 본 논문에서는 스캔 데이터를 NURBS 형태로 추출한 뒤 이를 정밀한 레벨셋 모델로 변환하였다. 레벨셋 모델을 구성하기 위해서 형성된 음함수는 부호를 갖는 거리함수를 사용하였고, 거리함수를 정밀하게 나타내기 위해 Newton 순환법을 이용하였다. 변환된 레벨셋 모델을 이용하여 형상의 몰핑을 수행하였다. 몰핑은 초기 형상을 목표 형상으로 변화시켜 나가는 과정으로서 레벨셋 모델을 이용한 몰핑은 용이성과 질적인 측면에서 우수하다. 수치 예제에서는 스캔 데이터의 레벨셋 모델 변환과 변환된 형상이 자연스럽게 목표형상으로 변화하는지를 확인한다.

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Shape and Appearance Repair for Incomplete Point Surfaces (결함이 있는 점집합 곡면의 형상 및 외관 수정)

  • Park, Se-Youn;Guo, Xiaohu;Shin, Ha-Yong;Qin, Hong
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.5
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    • pp.330-343
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    • 2007
  • In this paper, we present a new surface content completion system that can effectively repair both shape and appearance from scanned, incomplete point set inputs. First, geometric holes can be robustly identified from noisy and defective data sets without the need for any normal or orientation information. The geometry and texture information of the holes can then be determined either automatically from the models' context, or manually from users' selection. After identifying the patch that most resembles each hole region, the geometry and texture information can be completed by warping the candidate region and gluing it onto the hole area. The displacement vector field for the exact alignment process is computed by solving a Poisson equation with boundary conditions. Out experiments show that the unified framework, founded upon the techniques of deformable models and PDE modeling, can provide a robust and elegant solution for content completion of defective, complex point surfaces.

Generating Raster DSM from Airborne Laser Scanned Data Using Parallel Processing and Virtual Grid (병렬처리와 가상격자를 이용한 대용량 항공 레이저 스캔 자료의 정규격자 수치표면모델 생성)

  • Han, Soo-Hee;Heo, Joon;Kim, Sung-Sam;Kim, Sung-Hoon
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.318-321
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    • 2008
  • 본 연구에서는 대용량의 항공 레이저 스캔 포인트 자료로부터 정규 격자 형태의 수치 표면 모델을 고속으로 생성하기 위하여 가상격자와 병렬처리를 기반으로 한 자료 처리 기법을 제안하였다. 수십$\sim$수백 평방 킬로미터 영역에 대하여 항공 레이저 스캔을 중복적으로 수행할 경우 포인트 수는 수억$\sim$수십억에 이르며 이를 일반적인 시스템에서 처리하는 데에는 한계가 존재한다. 이에 본 연구에서는 병렬처리를 위해 구성한 피씨 클러스터 상에서 자료를 분산시켜 가상격자를 이용하여 처리하는 방식을 제안하였다. 즉, 마스터 노드는 포인트 자료를 읽어 들여 포인트의 평면 좌표 값에 따라 슬래이브 노드로 전송하고 각 슬래이브 노드에서는 전송받은 포인트를 가상 격자에 저장한 후 보간(interpolation)을 수행한다. 보간 방식으로는 IDW(Inverse Distance Weightin)을 사용하였으며 제안한 방식의 효율성을 평가하기 위하여 사용된 슬래이브 노드 수에 대한 처리 시간을 측정하였다.

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The Study on Reconstruction of Composite Surfaces by Reverse Engineering Techniques (Reverse Engineering 기술을 적용한 복합면의 재구성 정보 추출을 위한 연구)

  • Seo, Ji-Han;Lee, Hong-Chul;Shone, Young-Tea;Park, Se-Hyung
    • IE interfaces
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    • v.12 no.2
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    • pp.205-209
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    • 1999
  • In reverse engineering area, the reconstruction of surfaces from scanned or digitized data is being developed, but geometric model of existing objects is not available in industries. This paper presents the new approach to the reconstruction of surface technique. A proposed methodology finds base geometry and blends surface between them. Each based geometry is divided by tri-angular patches which are compared with their normal vector for face grouping. Each group is categorized analytical surface such as a part of cylinder, sphere and cone, and plane shapes to represent the based geometry surface. And then, each based geometry surface is implemented to the infinitive surface. Infinitive surface's intersections are trimmed by boundary representation model reconstruction. This method has several benefits such as time efficiency and automatic functional modeling system in reverse engineering. Especially, it can be directly applied 3D fax and 3D copier.

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Learning and Classification in the Extensional Object Model (확장개체모델에서의 학습과 계층파악)

  • Kim, Yong-Jae;An, Joon-M.;Lee, Seok-Jun
    • Asia pacific journal of information systems
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    • v.17 no.1
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    • pp.33-58
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    • 2007
  • Quiet often, an organization tries to grapple with inconsistent and partial information to generate relevant information to support decision making and action. As such, an organization scans the environment interprets scanned data, executes actions, and learns from feedback of actions, which boils down to computational interpretations and learning in terms of machine learning, statistics, and database. The ExOM proposed in this paper is geared to facilitate such knowledge discovery found in large databases in a most flexible manner. It supports a broad range of learning and classification styles and integrates them with traditional database functions. The learning and classification components of the ExOM are tightly integrated so that learning and classification of objects is less burdensome to ordinary users. A brief sketch of a strategy as to the expressiveness of terminological language is followed by a description of prototype implementation of the learning and classification components of the ExOM.

A Study on a Walking Animation Using 3D Whole Body Laser Scanned Data (인체 전신 레이저 스캔 데이터를 대상으로 한 인체 보행 애니메이션 연구)

  • Yoon, Geun-Ho;Choi, Ran;Cho, Chang-Suk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.519-521
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    • 2011
  • 본 연구는 3D 레이저 스캔 방법으로 계측된 인체 데이터를 대상으로 3D 아바타 애니메이션 모듈 구현을 목표로 한다. 이를 위하여 인체의 뼈 골격계 기준점을 지정한다. 기준점을 이용하여 계층에 맞는 골격을 잡아 오브젝트를 이루고 있는 정점들과 그에 해당되는 골격들을 연결하고 기구학에 의한 행동패턴을 제작하여 아바타에 애니메이션을 적용 시킨다. 이를 위하여Visual C++ OpenGL 라이브러리를 이용 하였고 인체 전신 레이저 스캔 데이터를 대상으로 하였다.

3D geometric model generation based on a stereo vision system using random pattern projection (랜덤 패턴 투영을 이용한 스테레오 비전 시스템 기반 3차원 기하모델 생성)

  • Na, Sang-Wook;Son, Jeong-Soo;Park, Hyung-Jun
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.848-853
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    • 2005
  • 3D geometric modeling of an object of interest has been intensively investigated in many fields including CAD/CAM and computer graphics. Traditionally, CAD and geometric modeling tools are widely used to create geometric models that have nearly the same shape of 3D real objects or satisfy designers intent. Recently, with the help of the reverse engineering (RE) technology, we can easily acquire 3D point data from the objects and create 3D geometric models that perfectly fit the scanned data more easily and fast. In this paper, we present 3D geometric model generation based on a stereo vision system (SVS) using random pattern projection. A triangular mesh is considered as the resulting geometric model. In order to obtain reasonable results with the SVS-based geometric model generation, we deal with many steps including camera calibration, stereo matching, scanning from multiple views, noise handling, registration, and triangular mesh generation. To acquire reliable stere matching, we project random patterns onto the object. With experiments using various random patterns, we propose several tips helpful for the quality of the results. Some examples are given to show their usefulness.

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