• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.3D
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• pp.519-525
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• 2006

The traditional area-based matching or efficient matching methods using epipolar geometry and height restriction of stereo images, which have a confined search space for image matching, have still some disadvantages such as mismatching and timeconsuming, especially in the dense metropolitan city that very high and similar buildings exist. To solve these problems, a new image matching method through building recognition has been presented. This paper described building recognition in color stereo images using edge and color information as a elementary study of new matching scheme. We introduce the modified Hausdorff distance for using edge information, and the modified color indexing with 3-D RGB histogram for using color information. Color information or edge information alone is not enough to find conjugate building pairs. For edge information only, building recognition rate shows 46.5%, for color information only, 7.1%. However, building recognition rate distinctly increase 78.5% when both information are combined.

• International Journal of Concrete Structures and Materials
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• v.10 no.2
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• pp.189-203
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• 2016

This paper investigates on the use of advanced optical measurement methods, i.e. 3D coordinate measurement machines (3D CMM) and stereo-vision digital image correlation (3D DIC), for the mechanical analysis of shear deficient prestressed concrete members. Firstly, the experimental program is elaborated. Secondly, the working principle, experimental setup and corresponding accuracy and precision of the considered optical measurement techniques are reported. A novel way to apply synthesised strain sensor patterns for DIC is introduced. Thirdly, the experimental results are reported and an analysis is made of the structural behaviour based on the gathered experimental data. Both techniques yielded useful and complete data in comparison to traditional mechanical measurement techniques and allowed for the assessment of the mechanical behaviour of the reported test specimens. The identified structural behaviour presented in this paper can be used to optimize design procedure for shear-critical structural concrete members.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.291-292
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• 2018

The purpose of this study is to examine the sensitivity of the audience to the background of the building where Chinese historical film 'Hero' is used. In this study, the sensitive vocabulary suitable for the building background was derived through previous research related to sensitivity, and the sensitive analysis was analyzed by questionnaire form. Research result shows that the building background of the movie can have an sensitive impact on the audience and will help to understand Chinese traditional style and culture.

• Journal of Information Processing Systems
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• v.18 no.4
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• pp.587-598
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• 2022

To increase building change recognition accuracy, we present a deep learning-based building change detection using remote sensing images. In the proposed approach, by merging pixel-level and object-level information of multitemporal remote sensing images, we create the difference image (DI), and the frequency-domain significance technique is used to generate the DI saliency map. The fuzzy C-means clustering technique pre-classifies the coarse change detection map by defining the DI saliency map threshold. We then extract the neighborhood features of the unchanged pixels and the changed (buildings) from pixel-level and object-level feature images, which are then used as valid deep neural network (DNN) training samples. The trained DNNs are then utilized to identify changes in DI. The suggested strategy was evaluated and compared to current detection methods using two datasets. The results suggest that our proposed technique can detect more building change information and improve change detection accuracy.

• Korean Journal of Remote Sensing
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• v.11 no.1
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• pp.47-64
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• 1995

In this paper, an algorithm that finds man-made structures in a praylevel aerial images is proposed to perform stereo matching. An extracted contour of buildings must have a high accuracy in order to get a good feature-based stereo matching result. Therefore this study focuses on the use of edge following in the original image rather than use of ordinary edge filters. The Algorithm is composed of two main categories; one is to find candidate regions in the whole image and the other is to extract exact contours of each building which each candidate region.. The region growing method using the centroid linkage method of variance value is used to find candidate regions of building and the contour line tracing algorithm based on an adge following method is used to extract exact contours. The result shows that the almost contours of building composed of line segments are extracted.

• Smart Structures and Systems
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• v.13 no.6
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• pp.901-925
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• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.470-473
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• 2005

This paper proposes a reconstruction method for the shape and color information of 3-dimensional buildings. The proposed method is range scanning by laser range finder and image coordinates' color information mapping to laser coordinate by a fixed CCD camera on laser range finder. And we make a 'Far-View' using high-resolution satellite image. The 'Far-View' is created that the height of building using DEM after contours of building extraction. The user select a region of 'Far View' and then, appear detailed 3D-reconstruction of building The outcomes apply to city plan, 3D-environment game and movie background etc.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.339-353
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• 2023

As the availability of high-resolution satellite imagery increases, improvement of positioning accuracy of satellite images is required. The importance of orthorectified images is also increasing, which removes relief displacement and establishes true localization of man-made structures. In this paper, we performed automated extraction of building rooftops and total building areas within original satellite images using the existing building height database. We relocated the rooftop sin their true position and generated an orthorectified building layer. The extracted total building areas were used to blank out building areas and generate true orthographic non-building layer. A final orthorectified image was provided by overlapping the building layer and non-building layer.We tested the proposed method with KOMPSAT-3 and KOMPSAT-3A satellite images and verified the results by overlapping with a digital topographical map. Test results showed that orthorectified building layers were generated with a position error of 0.4m.Through the proposed method, the feasibility of automated true orthoimage generation within dense urban areas was confirmed.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.191-192
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• 2005

This project is to establish an annex clinic center under 5 floors with gross floor area of 3,000 Pyeong behind existing Chosun university Hospital main building with 600 beds. The goal of the design is connecting the new clinic center with the existing main building and completing a combined hospital that has synergy effects. Given the old condition of the hospital and characteristics of the ground, I tried to embody the image of Medical Pulse, which is very alive with strong pulse, and suggest vision of 21st century hospital. First, one main entrance as a combined hospital. For optimum access and functions, I used the entrance of existing building as the only main entrance of new combined hospital, rearrange the road in front of the main building and improve traffic system, and upgrade the image and function of combined main entrance by planning new atrium united robby that makes link to the main building easier. Second, section planning considering the optimum functions and convenience. I established 4 floors linking functionally with the existing building, minimized vertical traffic line, and enhanced convenience through barrier free environment, which is a horizontal traffic line without barriers, crucial to hospital. Third, combined zoning generating synergy effects. I linked sterilizing room with logistics center by operating room and service bridge, and arranged central treatment department horizontally, Also, by horizontally arranging cancer center and department of nuclear medicine close with PET and cyclotron center, I established identity of specialized departments.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.506-514
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• 2011

The purpose of this study is to look into whether there is a possibility to develop the image of the local community in conjunction with green tourism, thus to explore the concrete ways to vitalize local community with diversified green tourism programs. In the pursuit of relating the research of community image-building with comprehensive local characteristics, this study selected the case of Jung Bang I village near Daejeon and analyzed the case through both written materials and on-site investigation. As a result of analysis, first, it was found that community image-building contributed positive effects in terms of the commercialization of the local community and its revitalization. Second, it was observed that community image-building led to form a "green route" that played a role as a passage to link townspeople to the country. It was also verified that those country villages that succeeded in image-building provided the places where people could experience the country and arts, which showed the potential of their roles as educational opportunities. In conclusion, this study will be able to suggest the direction to where the green tourism and image-building projects of the small communities near towns should go, and also provide a substantial guideline to related people regarding how to operate and maintain the local community.