• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.17-25
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• 2023

In this paper, we propose a lightweight deep learning architecture tailored for efficient text detection in fashion design sketch images. Given the increasing prominence of Digital Transformation in the fashion industry, there is a growing emphasis on harnessing digital tools for creating fashion design sketches. As digitization becomes more pervasive in the fashion design process, the initial stages of text detection and recognition take on pivotal roles. In this study, a lightweight network was designed by building upon existing text detection deep learning models, taking into consideration the unique characteristics of apparel design drawings. Additionally, a separately collected dataset of apparel design drawings was added to train the deep learning model. Experimental results underscore the superior performance of our proposed deep learning model, outperforming existing text detection models by approximately 20% when applied to fashion design sketch images. As a result, this paper is expected to contribute to the Digital Transformation in the field of clothing design by means of research on optimizing deep learning models and detecting specialized text information.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.208-214
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• 2021

Recently, much of the intelligent security scenario and criminal investigation demands for matching photo and non-photo. Existing face recognition system can not sufficiently guarantee these needs. In this paper, we propose an algorithm to improve the performance of heterogeneous face recognition systems by reducing the different modality between sketches and photos of the same person. The proposed algorithm extracts each image's texture features through texture descriptors (gray level co-occurrence matrix, multiscale local binary pattern), and based on this, generates a transformation matrix through eigenfeature regularization and extraction techniques. The score value calculated between the vectors generated in this way finally recognizes the identity of the sketch image through the score normalization methods.

• Journal of Korean Elementary Science Education
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• v.27 no.4
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• pp.319-327
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• 2008

The goal of this study is to examine the perceptions of pre-service teachers that directly affect the concepts and ways of the consideration of Earth systems by students studying the water cycle. A concept sketch method was applied to a survey involving 131 pre-service teachers. The survey was designed to analyze the perception of subordinate concepts of Earth systems from the applied components of the water cycle process and to code the applied concepts with components of the water cycle to the subordinate concepts of Earth systems that were the Hydrosphere, the Atmosphere, the Geosphere, and the Biosphere. The survey was designed to examine the perception of the water cycle from the perspective of Earth systems. The recognition by pre-service students was largely confined to components of the atmosphere and the hydrosphere. With regard to the water cycle process, all subjects surveyed recognized precipitation, and most of those expressed recognition of evaporation and condensation. Many of them recognized the surface flow, while they scarcely expressed knowledge of the underground flow.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2D
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• pp.171-179
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• 2010

The purpose of the present study is to suggest composing the graph topology of sketch drawing element and the recognition of the shape pattern for the earthwork quantity calculation. The algorithm which can extract the topology element such as vertex, edge, face and establish the relation between each topology was developed. The model which can define earthwork graph and recognize the shape pattern of earthwork was presented. As a result of the study, the shape pattern of earthwork that can't be calculated by existing earthwork calculation program could be recognized as expanding this model. The earthwork shape recognition automation using the graph topology model can be applied to the automation for the earthwork quantity estimation.

• Convergence Security Journal
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• v.19 no.2
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• pp.91-104
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• 2019

In this paper, we present a novel local descriptor, Local Prominent Directional Pattern (LPDP), to represent the description of facial images for gender recognition purpose. To achieve a clearly discriminative representation of local shape, presented method encodes a target pixel with the prominent directional variations in local structure from an analysis of statistics encompassed in the histogram of such directional variations. Use of the statistical information comes from the observation that a local neighboring region, having an edge going through it, demonstrate similar gradient directions, and hence, the prominent accumulations, accumulated from such gradient directions provide a solid base to represent the shape of that local structure. Unlike the sole use of gradient direction of a target pixel in existing methods, our coding scheme selects prominent edge directions accumulated from more samples (e.g., surrounding neighboring pixels), which, in turn, minimizes the effect of noise by suppressing the noisy accumulations of single or fewer samples. In this way, the presented encoding strategy provides the more discriminative shape of local structures while ensuring robustness to subtle changes such as local noise. We conduct extensive experiments on gender recognition datasets containing a wide range of challenges such as illumination, expression, age, and pose variations as well as sketch images, and observe the better performance of LPDP descriptor against existing local descriptors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.6A
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• pp.873-880
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• 2008

When checking the state of deterioration or damage structures, regular visual inspection has very important role. At this point, a visual inspection is performed mainly by sketch or photography with a camera of inspectors. If that happens, it takes a lot of effort and time to inspect appearance damages. The purpose of this study is to develop the automatic recognition system for a more efficient and effective inspection of appearance damages. In the process, the image processing technology and the data management & analysis system for damage recognition are mainly developed and applied. This automatic recognition system enables inspectors or clients to obtain correct data that can recognize a damage, such as, crack, water leakage, efflorescence, delamination (peeling), spalling, etc. In addition, this study takes aim at the effect of secure safety, functional maintenance and extension of design lifetime according to build up continuous and systematic data management system.

• Korean Journal of Human Ecology
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• v.7 no.1
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• pp.69-80
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• 2004

The purpose of this study is to suggest methods for the community design through users' behavior study in apartment housing. This study was approached by using both theoretical investigation and empirical research. The theoretical investigation actualized the concept of community design in apartment housing through a literature survey. The empirical survey focused on seeking out a user-oriented design criteria based on the analysis of residents' usage behavior and mental map. The results of this study are as follow: First. regarding the analysis of the residents' attitude toward the share community space(SCS), it was found that the SCS made a sense as community facilities in apartment housing. Second, regarding the SCS through the metal map, it was shown that the sketch map analysis was a useful research method for the community design by actualizing the residents' behavior characteristics. Third. as to the results of analyzing the metal map, it was found that the considered characteristics in recognition of the SCS were related to the liking with the main paths, cross nodes of the moving line, the location of center. and the complexity. In conclusion, the SCS is the main of community design in apartment housing and the above characteristics in recognition are useful as the guidelines in the SCS planning.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.3
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• pp.89-95
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• 2020

Recently, studies are being conducted to recognize a sketch image of a GUI (Graphical User Interface) based on a deep learning and to make it into a code implemented in an application. UI / UX designers can communicate with developers through storyboards when developing mobile applications. However, UI / UX designers can create different widgets for ambiguous widgets. In this paper, we propose an automatic UI detection method using symbol markers to improve the accuracy of DNN (Deep Neural Network) based UI identification. In order to evaluate the performance with or without the symbol markers, their accuracy is compared. In order to improve the accuracy according to of the symbol marker, the results are analyzed when the shape is a circle or a parenthesis. The use of symbol markers will reduce feedback between developer and designer, time and cost, and reduce sketch image UI false positives and improve accuracy.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1189-1192
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• 2005

본 논문에서는 스케치 연산자를 적용하여 견실한 얼굴인식 방법을 제안한다. 제안된 방법은 인식 대상의 중요한 특성인 에지(edge), 벨리(valley) 및 질감(texture) 성분을 효과적으로 표현하기 위한 방법으로써, BDIP(block difference of inverse probabilities)를 사용하여 얼굴의 특징을 스케치 영상과 같이 나타내는 얼굴 영상을 획득한다. 그리고, BDIP 처리된 얼굴 영상은 입력 데이터의 차원 축소 및 얼굴 특징 벡터의 추출을 위해 PCA(Principal Component Analysis)를 수행한 후, Nearest Neighbor 분류기를 통해 인식을 수행한다. 제안된 방법의 성능을 평가하기 위하여, 일반적으로 많이 사용되는 HE(Histogram equalization)을 사용한 얼굴 인식 방법과의 비교를 수행한다. 실험결과, 본 논문에서 제안한 방법이 고유값이 적은 경우에 가장 높은 인식률을 나타내는 것을 알 수 있었다.

• Archives of design research
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• v.14
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• pp.53-60
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• 1996

The most remarkable and characteristic problem of design is that of creativity of design. Originality is a part of creativity. In the process of designing, we used to handle design thoughts that shows some patte군 of divergent and productive thoughts. During design thinking, for example 'Idea sketch', We also are under Pattern Recognition and Gestalt principles organization. In this study, it is reorganized that the 'Originality Test of Line Drawing(OTLD)'is a measurement system for personal originality. There is a regression on two tests of OTLD, which has 1 Semester Interval. From the regression data, Test2 = 7.763 + 0.643Test1, F value : 55.219, Prob : 0.0001. We would suggest a measurement system for an ability of originality in design fields, but we couldn't find any reliability and validity for Fine Art fields. In this point, OTLD could be a development tool for design creativity.