• Convergence Security Journal
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• v.8 no.4
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• pp.161-166
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• 2008

This paper proposes a new approach to align 3D data sets by using curvatures of feature surface. We use the Gaussian curvatures and the covariance matrix which imply the physical characteristics of the model to achieve registration of unaligned 3D data sets. First, the physical characteristics of local area are obtained by the Gaussian curvature. And the camera position of 3D range finder system is calculated from by using the projection matrix between 3D data set and 2D image. Then, the physical characteristics of whole area are obtained by the covariance matrix of the model. The corresponding points can be found in the overlapping region with the cross-projection method and it concentrates by removed points of self-occlusion. By the repeatedly the process discussed above, we finally find corrected points of overlapping region and get the optimized registration result.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.11-17
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• 2017

In this paper, we propose the authoring tools engine supported a 4 dimension display contents which serve display of high quality (UHD*250) curved using 4 dimension engine, which is a innovation technology by authoring tools of management software supported 4 dimension editing environment on curved flexible display. The important technology is as follows, the first, the authoring tools of 4 dimension viedo wall for a flexible high quality display(UHD*256) using multiscreen synchornization, the second implemented a bidirection interaction technology of UI/UX interface, which is established by 360 degree recognition sensor for digital signage, the 4 dimension viedowall flexible display with curve, the third, implemented the authoring tool software for various dimension electronic books first in the world.

• Journal of the KSME
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• v.54 no.4
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• pp.41-45
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• 2014

최근 3차원 프린팅 기술은 사회적으로 많은 관심을 받고 있으며, 공학교육의 효율성을 높일 수 있는 방안으로 거론되고 있다. 이 글에서는 공학교육에서의 3차원 프린팅 응용사례를 소개하며, 특히 CAD 과정과 종합설계 교과목의 사례에 대해 살펴보고자 한다.

• 전기의세계
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• v.45 no.8
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• pp.30-35
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• 1996

본고에서는 의료영상의 3차원 visualization을 위한 표면 모델링 방법에 대하여 살펴보기로 한다. 먼저 다음 장에서는 visualization 방법들을 여러 가지 관점에서 간단히 분류하고, 3장과 4장에서는 표면 재구성법과 체적 재구성법에 대해 다룬다.

• Smart Media Journal
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• v.3 no.4
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• pp.22-27
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• 2014

Three-dimensional image reconstruction allows us to represent real objects in the virtual space and observe the objects at arbitrary view points. This technique can be used in various application areas such as education, culture, and art. In this paper, we propose an implementation method of the high-quality three-dimensional object using multiple Kinect cameras released from Microsoft. First, We acquire color and depth images from triple Kinect cameras; Kinect cameras are placed in front of the object as a convergence form. Because original depth image includes some areas where have no depth values, we employ joint bilateral filter to refine these areas. In addition to the depth image problem, there is an color mismatch problem in color images of multiview system. In order to solve it, we exploit an color correction method using three-dimensional geometry. Through the experimental results, we found that three-dimensional object which is used the proposed method is more naturally represented than the original three-dimensional object in terms of the color and shape.

• Journal of the Korea Convergence Society
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• v.4 no.3
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• pp.27-33
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• 2013

Conventional bar code has the appearance of line bars and spaces, called as one-dimensional bar code. In contrast, the information in two-dimensional bar code is represented by either a small, rectangular or square with the types of mosaic and Braille. The two-dimensional bar code is much more efficient than one-dimensional bar code because it can allow to store and express large amounts of data in a small space and so far there is also a little information about decoding the Data Matrix in base 256 mode. According to the ISO international standards, there are four kinds of bar code: QR code, Data Matrix, PDF417, and Maxi code. In this paper, among them, we focus on describing the basic concepts of Data Matrix in base 256 mode, how to encode and decode them, and how to organize them in detail. In addition, Data Matrix can be organized efficiently depending on the modes of numeric, alphanumeric characters, and binary system and expecially, we focus on describing how to decode the Data Matrix code by four modes.

• Polymer(Korea)
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• v.29 no.4
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• pp.418-421
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• 2005

Three-dimensional (3D) microfabrication process using two-photon polymerization (TPP) is developed to fabricate the curved microstructures in a layer, which can be applied potentially to optical MEMS, nano/micro-devices, etc. A 3D curved structure can be expressed using the same height-contours that are defined by symbolic colors which consist of 14 colors. Then, the designed bitmap figure is transformed into a multi-exposure voxel matrix (MVM). In this work a multi-exposure voxel matrix scanning method is used to generate various heights of voxels according to each laser exposure time that is assigned to the symbolic colors. An objective lens with a numerical aperture of 1.25 is employed to enlarge the variation of a voxel height in the range of 1.2 to 6.4 um which can be controlled easily using the various exposure time. Though this work some 3D curved micro-shapes are fabricated directly to demonstrate the usefulness of the process without a laminating process that is generally required in a micro-stereolithography process.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.504-508
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• 2003

Cost and schedule are the major concerns for the successful construction project management. The four dimensional CAD (4D CAD) integrating graphical data and scheduling data has also been an area of research interests for improving construction controls. In order to achieve the benefits from these areas in an integrated way, this study proposes a 4D-EVMS system for the owners. Managerial requirements for cost and schedule control for the owners are identified first. A 4D-EVMS model is then proposed which provides functional flexibility in order to enhance the efficiency of the system. Lessons learned and practical implications are briefly summarize.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.285-292
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• 2008

Color histograms have been used as feature vectors to characterize the color features of given images, but they have a limitation in efficiency by generating high-dimensional feature vectors. In this paper, we present a method to reduce the dimension of the feature vectors by applying PCA (principal components analysis) to the color histogram of a given vehicle image. With SVM (support vector machine) method, the dimension-reduced feature vectors are used to recognize the colors of vehicles. After reducing the dimension of the feature vector by a factor of 32, the successful recognition rate is reduced only 1.42% compared to the case when we use original feature vectors. Moreover, the computation time for the color recognition is reduced by a factor of 31, so we could recognize the colors efficiently.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.4
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• pp.135-142
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• 2013

This study aims to seek adequate and optimized method of applying high quality three-dimensional spatial data created via high-resolution digital aerial photograph image and aerial LiDAR data onto three-dimensional planning of environmentally friendly, ecological restoration of rivers in accordance with irrigation and flood control objectives of urban rivers. Through three-dimensional modeling of before and after the restoration, the research also offers basic information regarding restorations of rivers. Also the transition from the conventional two-dimensional planning into three-dimensional planning environment using smart spatial information acquire accuracy of river analysis, analyze possible civil complaints and suggest solutions to potential problems.