• Journal of Digital Convergence
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• v.10 no.4
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• pp.191-197
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• 2012

In this paper we present creating 3D image from 2D image by extract initial depth values calculated from focal values. The initial depth values are created by using the extracted focal information, which is calculated by the comparison of original image and Gaussian filtered image. This initial depth information is allocated to the object segments obtained from normalized cut technique. Then the depth of the objects are corrected to the average of depth values in the objects so that the single object can have the same depth. The generated depth is used to convert to 3D image using DIBR(Depth Image Based Rendering) and the generated 3D image is compared to the images generated by other techniques.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.117-123
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• 2016

A hand-gesture interface to manipulate a 3D object of augmented reality is implemented by recognizing the user hand-gesture in this paper. Proposed method extracts the hand region from real image, and creates augmented object by hand marker recognized user hand-gesture. Also, 3D object manipulation corresponding to user hand-gesture is performed by analyzing a hand region ratio, a numbet of finger and a variation ratio of hand region center. In order to evaluate the performance of the our proposed method, after making a 3D object by using the OpenGL library, all processing tasks are implemented by using the Intel OpenCV library and C++ language. As a result, the proposed method showed the average 90% recognition ratio by the user command-modes successfully.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.41 no.2
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• pp.181-189
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• 2021

In order to increase the practical usability of the virtual reality(VR)-based BIM object in the construction site, the difference between the virtual image and the real image should be resolved, and when it is applied to the construction schedule management function, it is necessary to reduce the image gap between the virtual completion and the actual completion. In this study, in order to solve this problem, a prototype of 4D model is developed in which augmented reality (AR) and 3D printing technologies are linked, and the practical usability of a 4D model linked with two technologies is verified. When a schedule simulation is implemented by combining a three-dimensional output and an AR object, it is possible to provide more intuitive information as a tangible image-based schedule information when compared to a simple VR-based 4D model. In this study, a methodology and system development of an AR implementation system in which subsequent activities are simulated in 4D model using markers on 3D printing outputs are attempted.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.4
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• pp.318-324
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• 2017

We introduced a stereo camera on the aircraft to detect flight objects and to estimate the 3D position of them. The Saliency map algorithm based on PCT was proposed to detect a small object between clouds, and then we processed a stereo matching algorithm to find out the disparity between the left and right camera. In order to extract accurate disparity, cost aggregation region was used as a variable region to adapt to detection object. In this paper, we use the detection result as the cost aggregation region. In order to extract more precise disparity, sub-pixel interpolation is used to extract float type-disparity at sub-pixel level. We also proposed a method to estimate the spatial position of an object by using camera parameters. It is expected that it can be applied to image - based object detection and collision avoidance system of autonomous aircraft in the future.

• The KIPS Transactions:PartD
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• v.13D no.4 s.107
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• pp.477-490
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• 2006

Existing index structures need very much update cost because they repeat delete and insert operations in order to update continuously moving objects. In this paper, we propose a new index structure which reduces the update cost of continuously moving objects. The proposed index structure consists of a space partitioning index structure that stores the location of the moving objects and an auxiliary index structure that directly accesses to their current positions. In order to increase the fanout of the node, it stores not the real partitioning area but kd-tree as the information about the child node of the node. In addition, we don't traverse a whole index structure, but access the leaf nodes directly and accomplish a bottom-up update strategy for efficiently updating the positions of moving objects. We show through the various experiments that our index structure outperforms the existing index structures in terms of insertion, update and retrieval.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1159-1166
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• 2004

This paper describes a multimedia synchronization model based on the MPEG-4(Moving Picture Expert Group) system. It defines and modifies new nodes for representing temporal relationships between media objects in the BIFS(Binary Format for Scene) of MPEG-4 system which Integrates, manages and transfers multimedia objects such as audio, video, image, etc. The relationships are represented by using a multimedia temporal model during the start, play and delay time interval. In addition, we illustrate a multimedia authoring system that includes the Interface used for defining the temporal relationships. Differently from several contentional tools generally appropriate for professional users who can edit the BIFS nodes of themselves, the system provides end-users with the function that can define the temporal relationships of multimedia objects directly in the interface.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.61-67
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• 2017

Recently, CCTV has been combined with areas such as big data, artificial intelligence, and image analysis to detect various abnormal behaviors and to detect and analyze the overall situation of objects such as people. Image analysis research for this intelligent video surveillance function is progressing actively. However, CCTV images using 2D information generally have limitations such as object misrecognition due to lack of topological information. This problem can be solved by adding the depth information of the object created by using two cameras to the image. In this paper, we perform background modeling using Mixture of Gaussian technique and detect whether there are moving objects by segmenting the foreground from the modeled background. In order to perform the depth information-based segmentation using the RGB information-based segmentation results, stereo-based depth maps are generated using two cameras. Next, the RGB-based segmented region is set as a domain for extracting depth information, and depth-based segmentation is performed within the domain. In order to detect the center point of a robustly segmented object and to track the direction, the movement of the object is tracked by applying the CAMShift technique, which is the most basic object tracking method. From the experiments, we prove the efficiency of the proposed object detection and tracking method using the RGB-D model.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.559-562
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• 2006

Existing 4D systems are using the 1:1 link system that directly links a schedule and a 3D model object. But considering that plant facility includes various kinds of schedule and 3D model object, this study suggests an improved link methodology of multi-selected objects and two-way link system for minimizing link errors which generated in case of multi-selected objects. For the link system, this study introduces a new concept called as interface board. Interface board can be used as an information center for representing all information of link items in the current project. It may be expected that 4D model can build an effective and rapid link system of plant project by this new approach.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1271-1276
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• 2006

DMB 데이터 표준화 위원회는 기존의 방송과 차별화 된 서비스를 제공하기 위하여 MPEG-4 BIFS Core 2D @ Level 1 을 지상파 DMB 데이터 표준으로 선택하였다. 그러나 MPEG-4 BIFS Core 2D @ Level 1 은 비디오 객체 위에 간단한 2D 도형을 오버레이하는 정도의 기능만을 제공하고 있어서, 아직은 DMB 데이터 표준에 3D 데이터 표현에 대한 내용을 포함하고 있지 않다. 따라서 본 논문에서는 향후 DMB 용 데이터 콘텐츠에서 3D 그래픽스를 활용한 멀티미디어 콘텐츠 개발이 가능하도록 3D 그래픽스 표현을 위한 프로파일을 제시하고자 한다. 방송의 새로운 영역인 모바일 환경에서의 BIFS 활용을 위하여 본 연구에서는 MPEG-4 BIFS 의 3D 노드들을 기반으로 모바일 환경에 적합한 노드들을 추려서 프로파일을 구성하였다. 이를 위해 콘텐츠 제작 시 노드 사용 빈도 및 각 노드별 리소스 사용 정도를 조사하였고, 모바일에서 그래픽스 객체 표현을 위한 언어인 OpenGL|ES, JSR184, Mobile Direct3D 등의 표준과 BIFS 표준을 비교 분석하였다. 이러한 조사 내용을 바탕으로 BIFS 3D 노드들 중에서 DMB 용 3D 콘텐츠 구현에 적합한 노드들을 분석하였으며 프로파일 검증을 위한 테스트 콘텐츠를 작성하였다. 향후 멀티미디어 콘텐츠는 다양한 3D 그래픽스 기술의 활용이 예상되므로 이와 같은 연구를 통해 DMB 환경에서도 3D 그래픽스를 객체를 표현이 가능하게 된다면, 다양한 데이터 콘텐츠 개발을 위한 발판이 되어 향후 데이터 방송 활성화에 기여할 수 있을 것이라 기대된다.

• Journal of the Korean Society for information Management
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• v.29 no.4
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• pp.123-142
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• 2012

To develop an intelligent search engine to help users retrieve information effectively, various methods, such as Semantic Web, have been used, An effective retrieval method of such methods uses ontology technology. In this paper, we built National R&D ontology after analyzing National R&D Information in NTIS and then implemented National R&D Knowledge Map to represent and retrieve information of the relationship between object and subject (project, human information, organization, research result) in R&D Ontology. In the National R&D Knowledge Map, center-node is the object selected by users, node is subject, subject's sub-node is user's favorite query in National R&D ontology after analyzing the relationship between object and subject. When a user selects sub-node, the system displays the results from inference engine after making query by SPARQL in National R&D ontology.