The purpose of this study was to observe street fashion, to determine preferred design of jean and to analyze preferred jean styling based on types of jean pants design, toward 20s to 30s women. We observed outfits of jean styles on the street using photography method and conducted a survey to 400 females to get information of consumers. Four hundred questionnaires were analyzed using SPSS. As a result of street research, the majority of people were wearing jean pants with T-shirts, sandal/high heel shoes and totes. The results of market research showed that preferred jean styles were significantly associated with age and marital status. Preferred color of jean pants was also significantly associated with age variable. Current popular jean style was a skinny style. We evaluated results of styling with different jean pants, creating five different images. There was a significant relationship between age/marital status and styling image in different jean styles. In a bootcut style, age variable was significantly associated with different styling images. Generally, most of people responded cute/casual image styling was the best for the bootcut style. In skinny pants, there was a significant association between a residence area and a styling image. Modern/chic image styling with skinny pants was the most favored one. In cropped jean pants, marital status was significantly associated with styling image created. We realized that we can create different images through a styling.
PURPOSES : Daejeon is basically divided into an old downtown and a new downtown, and the recent relocation of the Chungcheongnam-do Provincial Government of Republic of Korea from the old downtown and the opening of governmental buildings in the new downtown as well have made this new downtown only densely populated with industrial and business facilities. Such changes in the downtowns have promoted the conditions of the new downtown while, consequently, dragging down the old downtown. Out of concern for those unbalanced developments of the two downtowns, Daejeon is now carrying out several city projects to revive the old downtown. In the light of that, as a part of the project to promote the old downtown, this study aims to conduct an evaluation on landscape of the culture and arts street in Daeheungdong which was built upon those ideas of a theme street project by Daejeon. METHODS : Based on the findings from the questionnaire not only on the components that would design the streetscape of the culture and arts street but also on the public satisfaction with the streetscape, the study defined how those changes in the components affect emotional factors of the pedestrians. In order to achieve the research goal, the study made changes in D/H ratio of the street structural components as well as the roadside trees. In terms of the questionnaire method, the study used the SD scale, and proceeded with its investigation through the frequency analysis, the principal component analysis (the factor analysis) and the structural equation model. RESULTS : According to the results from the factor analysis and the regression analysis, of those three factors, such as the openness, the comfortable sensation and the safety, the openness followed by the comfortable sensation and the safety was determined to have the most positive influence on the total satisfaction. The structural model analysis reported that the D/H and the structural components of the roadside trees and planting have a positive effect on the emotional image, and this emotional image also appeared to be positively related to the total satisfaction. CONCLUSIONS : This study looked into how the changes in the street structural components of the culture and arts street in Daeheungdong would affect the satisfaction with the streetscape, and finally confirmed that the D/H and the planting are what would have a positive effect on this satisfaction. What has been learned from this study will be the basic data to figure out how to promote and improve the culture and arts street in Daeheung-dong as this data will also help designing and developing of those specialized streets in other regions.
Journal of information and communication convergence engineering
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v.10
no.4
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pp.411-419
/
2012
This paper proposes a semi-automatic image-based approach for 3-dimensional (3D) modeling of buildings along streets. Image-based urban 3D modeling techniques are typically based on the use of aerial and ground-level images. The aerial image of the relevant area is extracted from publically available sources in Google Maps by stitching together different patches of the map. Panoramic images are common for ground-level recording because they have advantages for 3D modeling. A panoramic video recorder is used in the proposed approach for recording sequences of ground-level spherical panoramic images. The proposed approach has two advantages. First, detected camera trajectories are more accurate and stable (compared to methods using multi-view planar images only) due to the use of spherical panoramic images. Second, we extract the texture of a facade of a building from a single panoramic image. Thus, there is no need to deal with color blending problems that typically occur when using overlapping textures.
Journal of the Korean Society of Environmental Restoration Technology
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v.11
no.6
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pp.49-60
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2008
In this study, the green zone patterns of sidewalks are classified 'one street-tree row + building,' 'one street-tree row + green zone,' 'two street-tree rows + building,' and 'two street-tree rows + green zone' and assessed their visual characteristic in order to provide desirable measures for scenery design. As a result of the analysis of visual images of sidewalk, the scenery in which street trees are planted in one row was generally assessed to be negative, while roads where green zones rather than buildings are adjacent were revealed to seem stable and pleasant. The scenery in which street trees are planted in two rows was assessed highly in an image of 'extensionality' indicating street circumstances, and especially the pattern 'two street-tree rows + green zone' was shown to be the most beautiful scenery. According to the results of factor analysis of sidewalks, three factors were identified : 'extensionality' showing sidewalk circumstances; 'peculiarity' including unique personality, and 'pliability' showing the organic flow of the scenery. The results of the analysis of visual preference of the scenery according to green zone patterns showed that the 'two street-tree rows + green zone' was measured to be highest. When buildings are adjacent to a sidewalk, two street-tree rows rather than one street-tree row were assessed to increase preference. As for the correlation between visual factors and preference analyzed through multiple regression analysis, all 'extensionality,' 'peculiarity,' and 'pliability' were revealed to show positive correlation for visual preference.
Public uniforms play an important role in creating the color and image of urban environment beyond the level of simple working clothes for unity and practicality. Hence this study aims to compare and analyze the color characteristics and images of the police officer, fire fighter, and street cleaner uniforms at home and abroad to guarantee the wearer's safety, increase convenience and agreeability, and give emotional satisfaction to citizens in harmony with urban environment color as public uniforms. For study methods, literature review investigated urban environment, color, and uniforms as public design. Empirical study extracted color data from the public worker uniforms of the world's top 20 cities selected by 'Newsweek' in 2010 and analyzed their colors, tones, and color images. The results of this study are as follows. The most common color for police uniforms were PB(dk) as the main color, PB(p) as the sub color, and Wh as the accent color. For fire fighter uniforms, PB(dkg) was the most common main color; GY(v), as the sub color; and ItGy, as the accent color. The most common color for street cleaner uniforms was YR(v) as the main color; GY(v), as the sub color; and mGy, as the accent color. As a result of analyzing color images of these uniforms, it was found that police uniforms commonly used a modern image; fire fighter uniforms commonly used a natural image and a cool casual image; and street cleaner uniforms commonly used a casual image. As examined above, the color of public uniforms suitable for urban environment and job characteristics is very important to establish the image of public institutions, as well as to create an urban image.
Journal of the Korean Society of Clothing and Textiles
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v.30
no.11
s.158
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pp.1519-1530
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2006
This study has surveyed and analyzed in 2005 S/S domestic men's street fashion by using the Web-SFAS system that was developed and completed in the earlier research. Total of 270 men who were sensitive to fashion were surveyed around 5 nationwide cities and 9 commercial zones. The analysis results of the questionnaire and image survey in 2005 S/S for each commercial zone was shown as follows. 1. The most interest in producing fashionable shape when they go out was in the order of clothes>hair style>shoes and it was found that the proper reason for visiting the commercial zone was to meet with friends>watching movies>shopping etc. 2. T-shirts were most preferred as upper garments and as for bottoms, blue jeans were preferred. Black, gray, and white colors were most preferred and blue color was most preferred primarily due to the preference for blue jeans. The color image was proven mainly modem and light tone, comfortable and casual items were preferred. An active comfort casual image emphasized with activeness by coordinating comfortable T-shirts or shirts with blue jeans were most preferred in 9 areas. 3. A clear difference was confirmed in color by commercial area. Blackish color was most prevalent in Daehakro whereas simple color was mostly shown around Hongik University area. Bright and unique colors such as green and violate were dominant at Dae-Gu Dongseongro, and basic colors such as white and black were preferred in Masan Hapseong-dong and Changwon Sangnam-dong. Through the results of nationwide street fashion survey, the each commercial zone has unique characteristics in fashion trend even in the same city, rather than the regional difference in Seoul and local city.
Street furniture such as benches, streetlamps, and shades which are easily accessible in cities has contributed to the promotion of active, lively environment for people living in cities. Furthermore, they make the characteristics of specific regions and cities, and are valued as a communication interface to restore the relationships between people and cities. The street furniture design with inherent publicness is an essential element for leisurely life and refined image of modern people who have experienced severance and mental poverty in uniform, vertical modern city space with the development of advanced science and technology. The purpose of this study is to analyze the new design approaches to street furniture which plays an important role in the determination of the images of modern city environment and to examine the characteristics and trends of such designs. First, in accordance with the flow of studies from publicness and public space to street furniture, the concept and meaning of publicness which is the basic element of public space were identified through theoretical examination, and the characteristics and roles of modern public space were analyzed through literature review, data review, and international cases. Based on the results of this theoretical analysis, the concept and meaning elements, function elements, and design elements of the street furniture which was planned in accordance with the goal and functions of public space were identified. For the meaning elements of street furniture design, fun, health, culture, sustainability, and vitalization were identified. For the function elements of street furniture design, convenience, safety, and delivery were identified. As the characteristics of modern street furniture design, convergent, green, digilog, functional, and universal designs were analyzed. This study is meaningful in that it recognized the roles of street furniture in modern public space as a concrete, practical environmental design element and estimated the development directions of street furniture design in public space.
Increasing concern of urban community environment with acceleration of economic growth in modern generation, forcing us to recognize city's environment composition causes important factor for city's spirit. Since implementation of accountability of local government in 1995, local governments are thrives local government activation, compositing financially self support local government and competitiveness by others seeking number of methods for establishing traditional local images. In this study, analyzes cases in street environment facilities to help and support local government developing and applying special features of historical and cultural local images toward street environment facilities in city of Andong. For expression of local image in active installation of street environment facilities will increase tourism and extra value creating self esteem of local people will endures further rapid development of local government. local government seriously consider continuously supporting investment and research in street environment facilities.
In this paper, we report detection and recognition of vehicle logo from images captured from street CCTV. Image data includes both the front and rear view of the vehicles. The proposed method is a two-step process which combines image preprocessing and faster region-based convolutional neural network (R-CNN) for logo recognition. Without preprocessing, faster R-CNN accuracy is high only if the image quality is good. The proposed system is focusing on street CCTV camera where image quality is different from a front facing camera. Using perspective transformation the top view images are transformed into front view images. In this system, the detection and accuracy are much higher as compared to the existing algorithm. As a result of the experiment, on day data the detection and recognition rate is improved by 2% and night data, detection rate improved by 14%.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.37
no.5
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pp.331-341
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2019
With the popularity of sensor-rich environments, smartphones have become one of the major platforms for obtaining and sharing information. Since it is difficult to utilize GNSS (Global Navigation Satellite System) inside the area with many buildings, the localization of smartphone in this case is considered as a challenging task. To resolve problem of localization using smartphone a four step image-based localization method and procedure is proposed. To improve the localization accuracy of smartphone datasets, MMS (Mobile Mapping System) and Google Street View were utilized. In our approach first, the searching for candidate matching image is performed by the query image of smartphone's using GNSS observation. Second, the SURF (Speed-Up Robust Features) image matching between the smartphone image and reference dataset is done and the wrong matching points are eliminated. Third, the geometric transformation is performed using the matching points with 2D affine transformation. Finally, the smartphone location and attitude estimation are done by PnP (Perspective-n-Point) algorithm. The location of smartphone GNSS observation is improved from the original 10.204m to a mean error of 3.575m. The attitude estimation is lower than 25 degrees from the 92.4% of the adjsuted images with an average of 5.1973 degrees.
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