• Title/Summary/Keyword: Architectural Image

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A Critical Study on Colin Rowe's 'Transparency' - Focusing on the Analysis of the meaning of 'Time and Simultaneity' implicated in 'Transparency' - (콜린 로우(Colin Rowe) '투명성(transparency) 이론'의 비판적 고찰 - 투명성에 내재된 시간 개념의 분석을 중심으로 -)

  • Kweon, Tae-Ill
    • Journal of architectural history
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    • v.15 no.2
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    • pp.115-136
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    • 2006
  • Colin Rowe's 'Transparency' is one of core ideas applied to 20th Modern Architecture. It implies not only an optical characteristic, the perfectly clear, but also a broader spacial order, a simultaneous perception of different spacial locations. The former connected with physical attribute itself, and the latter deeply with the metaphorical idea of time, 'Simultaneity', embodying a new spacial quality. However, If we analyze the meaning of "Simultaneity" implicated in "Transparency" with the perspective of Henry Bergson's "Duration", there would be only little possibility as a solution to the problem of embodying a new spacial quality in architecture. As such a question emerging, this paper attempts to point out the problem of Colin Rowe's idea, "Simultaneity", and suggest a new architectural design method to overcome its inconsistency by interpretation and application of Bergson's "Image and Rhythm".

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Creating Architectural Scenes from Photographs Using Model-based Stereo arid Image Subregioning

  • Aphiboon, Jitti;Papasratorn, Borworn
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1666-1669
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    • 2002
  • In the process of creating architectural scenes from photographs using Model-based Stereo 〔1〕, the geometric model is used as prior information to solve correspondence problems and recover the depth or disparity of real scenes. This paper presents an Image Subregioning algorithm that divides left and right images into several rectangular sub-images. The division is done according to the estimated depth of real scenes using a Heuristic Approach. The depth difference between the reality and the model can be partitioned into each depth level. This reduces disparity search range in the Similarity Function. For architectural scenes with complex depth, experiments using the above approach show that accurate disparity maps and better results when rendering scenes can be achieved by the proposed algorithm.

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Markerless camera pose estimation framework utilizing construction material with standardized specification

  • Harim Kim;Heejae Ahn;Sebeen Yoon;Taehoon Kim;Thomas H.-K. Kang;Young K. Ju;Minju Kim;Hunhee Cho
    • Computers and Concrete
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    • v.33 no.5
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    • pp.535-544
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    • 2024
  • In the rapidly advancing landscape of computer vision (CV) technology, there is a burgeoning interest in its integration with the construction industry. Camera calibration is the process of deriving intrinsic and extrinsic parameters that affect when the coordinates of the 3D real world are projected onto the 2D plane, where the intrinsic parameters are internal factors of the camera, and extrinsic parameters are external factors such as the position and rotation of the camera. Camera pose estimation or extrinsic calibration, which estimates extrinsic parameters, is essential information for CV application at construction since it can be used for indoor navigation of construction robots and field monitoring by restoring depth information. Traditionally, camera pose estimation methods for cameras relied on target objects such as markers or patterns. However, these methods, which are marker- or pattern-based, are often time-consuming due to the requirement of installing a target object for estimation. As a solution to this challenge, this study introduces a novel framework that facilitates camera pose estimation using standardized materials found commonly in construction sites, such as concrete forms. The proposed framework obtains 3D real-world coordinates by referring to construction materials with certain specifications, extracts the 2D coordinates of the corresponding image plane through keypoint detection, and derives the camera's coordinate through the perspective-n-point (PnP) method which derives the extrinsic parameters by matching 3D and 2D coordinate pairs. This framework presents a substantial advancement as it streamlines the extrinsic calibration process, thereby potentially enhancing the efficiency of CV technology application and data collection at construction sites. This approach holds promise for expediting and optimizing various construction-related tasks by automating and simplifying the calibration procedure.

A Study on the Architectural Space After Modernism (근대주의 이후의 건축 공간의 변모)

  • Khang, Hyuk
    • Journal of architectural history
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    • v.16 no.2
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    • pp.23-41
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    • 2007
  • The main purpose of this study is to reveal the properties and specialities of architectural space after Modernism. Space was the main theme of Modernity in architecture and they insist Modern architectural space had its own characteristics compared with the earlier period. With view that another paradigm of space is rising as a criticism of and departure from Modernity, this study try to show what is the contents of difference and how it express in reality. We can find a new trends in architectural spaces, that are the production of totally different circumstantial background as like information society, digital media environment, post structuralism, new science and heterotopian situation in urbanism. We can call it Post Modernity in architectural space that would find the 'Otheness' and expand the territory of architecture. It means not only the change of architectural space itself but also different cognition and perception of space is taking place. Contemporaru architectural space has lost its materiality and conventional socio-cultural functions. Dematerialization and media or image -like being is the new characteristics instead. It demands a new way of being in a different life-world as well as the new expenence of architecture.

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Crack Detection Technology Based on Ortho-image Using Convolutional Neural Network (합성곱 신경망을 이용한 정사사진 기반 균열 탐지 기법)

  • Jang, Arum;Jeong, Sanggi;Park, Jinhan;, Kang Chang-hoon;Ju, Young K.
    • Journal of Korean Association for Spatial Structures
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    • v.22 no.2
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    • pp.19-27
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    • 2022
  • Visual inspection methods have limitations, such as reflecting the subjective opinions of workers. Moreover, additional equipment is required when inspecting the high-rise buildings because the height is limited during the inspection. Various methods have been studied to detect concrete cracks due to the disadvantage of existing visual inspection. In this study, a crack detection technology was proposed, and the technology was objectively and accurately through AI. In this study, an efficient method was proposed that automatically detects concrete cracks by using a Convolutional Neural Network(CNN) with the Orthomosaic image, modeled with the help of UAV. The concrete cracks were predicted by three different CNN models: AlexNet, ResNet50, and ResNeXt. The models were verified by accuracy, recall, and F1 Score. The ResNeXt model had the high performance among the three models. Also, this study confirmed the reliability of the model designed by applying it to the experiment.

Analysis and Comparison on the Architectural Lighting in Shanghai and Las Vegas (라스베가스와 상해의 경관조명 비교 분석 연구)

  • Jung, Yeon-Hong;Park, Byoung-Chul;Kim, Yu-Sin;Hong, Seong-Kwan;Choi, An-Seop
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2008.10a
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    • pp.21-24
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    • 2008
  • One of the Purposes of architectural lighting is to give pleasure and pride to people. Government often encourages to building owners to apply architectural lighting as a policy because architectural lighting can be one of the tourist attractions. The characteristics of a building, a city and a nation should be reflected to architectural lighting design. Therefore, the purpose of this research is to analyze and compare architectural lighting of buildings in Las Vegas and Shanghai using measured luminance and nighttime image.

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A Study on Design Preference for the Sales Spaces of Duty-Free Shops by the Examination of Image Evaluation - Cases of Duty-Free Shops in Jeju Special Self-governing Province -

  • Moon, Jung-Eun;Kim, Bong-Ae
    • Architectural research
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    • v.12 no.2
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    • pp.53-62
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    • 2010
  • The purpose of this study is to examine design preferences for the sales spaces of duty-free shops (DFSs) by conducting image evaluations. The results will help improve quality by influencing designs for the construction, extension or remodeling of these shops. An image measurement method, the semantic differential method, was used to measure cognitive structure using photos of shops. Photos were collected of the DFS at Jeju Island, as well as photos of brand stores designed by architects. Two sets of 16 photos (32 different photos in all) were selected according to photo classification standards and design concepts, both decided by reviewing previous studies and related materials. The evaluation and survey were done by two sets of subjects: sales employees, who have experience and special knowledge of the evaluation of sales space; and students majoring in architecture. To strengthen the evaluation results, I conducted a preliminary survey and a main survey, verifying and complementing findings. 116 surveys were conducted, of which 14 were of poor quality and rejected, leaving and 102 to be analyzed. The collected surveys were statistically analyzed, using SPSS 12.0 for Windows. Reliability, image profile, factor and multi-dimensional scaling analyses were conducted. As a result, image evaluation structure and characteristics were obtained for sales spaces of DFSs, confirming the difference between them and other spaces.

Global Busan City Brand Image Development Strategy - SWOT/AHP analysis -

  • LEE, Changhwan;RA, Heeryang;OH, Youngsam;LEE, Chunsu
    • East Asian Journal of Business Economics (EAJBE)
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    • v.9 no.3
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    • pp.115-124
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    • 2021
  • Purpose - An empirical analysis of various opinions of experts to build Busan's global city image. Based on this, we provide strategy establishment metrics using opportunities, strengths, and threats to build Busan's global city image. Research design, data and methodology - SWOT-AHP analysis are used in terms of methodology, and this study is based on experts' reviews and answers. In addition, AHP analysis is performed based on SWOT analysis to derive the result values for important priority factors. Result - As a result of the prioritization of SWOT-AHP results, a matrix of strategic development directions for Busan city brand building can be presented. As a result of the composite weighting, the factors related to opportunity were ranked as important. In addition, matrices on SO strategy, ST strategy, WO strategy, and WT strategy were derived. Conclusion - This study is an interdisciplinary study from the economic aspect, international management and international marketing aspect, administrative aspect, and architectural engineering aspect. Through this, the image of a global city of Busan that can overcome COVID-19 and cope with the 4th industry in the future will be built, and Busan will be able to build a global international city image by commercially attracting the 2030 World Expo.

Construction of Spatial Information Big Data for Urban Thermal Environment Analysis (도시 열환경 분석을 위한 공간정보 빅데이터 구축)

  • Lee, Jun-Hoo;Yoon, Seong-Hwan
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.5
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    • pp.53-58
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    • 2020
  • The purpose of this study is to build a database of Spatial information Bigdata of cities using satellite images and spatial information, and to examine the correlations with the surface temperature. Using architectural structure and usage in building information, DEM and Slope topographical information for constructed with 300 × 300 mesh grids for Busan. The satellite image is used to prepare the Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Bare Soil Index (BI), and Land Surface Temperature (LST). In addition, the building area in the grid was calculated and the building ratio was constructed to build the urban environment DB. In architectural structure, positive correlation was found in masonry and concrete structures. On the terrain, negative correlations were observed between DEM and slope. NDBI and BI were positively correlated, and NDVI was negatively correlated. The higher the Building ratio, the higher the surface temperature. It was found that the urban environment DB could be used as a basic data for urban environment analysis, and it was possible to quantitatively grasp the impact on the architecture and urban environment by adding local meteorological factors. This result is expected to be used as basic data for future urban environment planning and disaster prevention data construction.