• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국제학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.70-75
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• 1993

We represent a method of 3-D object recognition using multi images in this paper. The recognition process is executed as follows. Object models as prior knowledgement are generated and stored on a computer. To extract features of a recognized object, three CCD cameras are set at vertices of a regular triangle and take images of an object to be recognized. By comparing extracted features with generated models, the object is recognized. In general, it is difficult to recognize 3-D objects because there are the following problems such as how to make the correspondence to both stereo images, generate and store an object model according to a recognition process, and effectively collate information gotten from input images. We resolve these problems using the method that the collation on the basis of features independent on the viewpoint, the generation of object models as enumerating some candidate models in an early recognition level, the execution a tight cooperative process among results gained by analyzing each image. We have made experiments based on real images in which polyhedral objects are used as objects to be recognized. Some of results reveal the usefulness of the proposed method.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.1807-1810
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• 2003

Steganography based on Just Noticeable Difference(JND) has been used for natural images. However, it has been recognized to have defects for the non-natural images such as scanned text images, cartoons, etc. In this paper, an alternative method is proposed to improve this problem. A new scheme is designed specially for the non-natural images. Instead of JND, Noise Visibility Function(NVF) is used. NVF value and edge strength value of each pixel ate combined to decide the embedding data capacity and the visibility of data embedded images have been improved specially for the non-natural images.

• 복식문화연구
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• 제15권1호
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• pp.113-126
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• 2007

Since the ancient times, black has been the most valuable color. Also, it has played a more important role in a history of fashion than other colors. In general, black was regarded as a color of negative images. However, as people have recognized the aesthetic value of black color, they have expressed unique and various images of black through the medium of clothes. This studies on images of black dress for woman was based on reference to literatures and valid investigations. The images toward black clothing are categorized by study participants' perceptions according to age, marital status and education. The result was as followed. Dignity and modernity were the most frequently cited image of black dress among women followed by feminine, sorrow, sensuality, and abstinence. Age significantly affected the recognition of black dress images. Woman showed significant difference in recognizing dignity, modernity, sensuality, and sorrow in black dress according to their age. Woman more strongly recognize dignity and modernity in black dress when they are younger, while increasingly recognizing abstinence and sensuality in black dress as they become older. Marital status significantly affected woman's recognition of black dress. They showed meaningful difference in recognizing dignity, modernity, and abstinence in black color. In sum, single women recognized more easily dignity and modernity in black dress and less easily abstinence than married women. Women also showed the trend with relation to education level. In general, as women got higher education, they also increasingly recognized dignity and modernity in black dress.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1998년도 Proceedings of International Workshop on Advanced Image Technology
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• pp.35-40
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• 1998

This paper describes an automatic recognition method of contents in moving images. The recognition process is carried out by the following two steps. At first, camera works in moving images are analyzed and moving objects are extracted from the moving images. Next, the motion of the object is recognized by pre-procured knowledge. These techniques will be applied to a construction of an efficient image database.

• International Journal of Costume and Fashion
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• 제5권1호
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• pp.26-41
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• 2005

In this study homosexuality as a discourse represented in contemporary fashion magazines is explored in context. The main concerns are the contemporary construction of homosexuality, fashion symbols to identify homosexuals, and relationships between homosexuality and heterosexual masculinity in fashion images today. After elaborating homosexuality conceptualized historically, an analytical framework from Foucault's discursive approach was made up to interpret the fashion spreads since 2000. As a result, as it is assumed that the concept of homosexuality is constructed by historical specificity, homosexual fashion styles are dynamic. So, it should be recognized that they are formed by power relationships with heterosexuality, and other social factors such as class, race, age, and consumer culture and market trends. On the basis of photographic themes and fashion looks homosexual images are classified into 3 kinds of versions, the effeminate trend setter, the masculine athlete or biker, and the neo camp. However, most of contemporary homosexual photographs are not also so conspicuously different from heterosexual ones. Therefore, in the contemporary structure at least from fashion images, homosexuals can be recognized equally with heterosexual people only except for sexual preference. Thus, homosexual fashion also shares a lot of fashionable products with heterosexual one, with often homosexuals' role as trend -setter.

• 동아시아식생활학회지
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• 제20권6호
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• pp.837-844
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• 2010

Dietary life was formed as being influenced by the people's cultural, social and environmental situations. The people's food culture is unique that was adapted to their surroundings. It was developed and industrialized in the ethnic food. Now the ethnic food was contributed to tour industry or culture industry. Then, food life style was change from the meat diet to the vegetable diet in the diffusion of well-being trends. So, we analyzed Koreans' Korean food image and investigated the difference as a demographics. We made questionnaire and did a survey to 220 bloggers using cooking internet sites on 10 August, 2009. We analyzed 206 questionnaires by SPSS package 12.0 except 14 untrustworthy questionnaires. We measured credibility and validity 39 items related Korean food image: Chronbach's ${\alpha}$ was highly 0.855. We checked that KMO examination was 0.775 and $x^2$ of Barttlet was 2482.342. After verymax rotation, we deducted 5 Koran food images-healthy, visuality, spicy, variety, low calorie. We analyzed ANOVA of 5 Korean food images according to demographics. We confirmed the differences by ages, monthly income and job except academic background (p<0.05). Therefore, Korean food images were learned and recognized in everyday life. Especially, we found that visuality and variety were recognized the more stronger high-income earners and teachers than others. So, Korean learned Korean food images in real life and recognized Korean food quite differently by demographics.

• 한국의상디자인학회지
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• 제22권1호
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• pp.97-111
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• 2020

Classifying clothing fabrics into fashion images lacks research, but is necessary due to the short cycle of fashion and rapidly changing modern trends as consumers seek to satisfy various needs with an increase of online purchases. There is also a lack of research on fashion trend books which attach real fabrics. Therefore, this study aims to help the planning field by recognizing fabric sensibility related to the fabric image perceived by consumers. The data analysis results from descriptive statistics, t-test, and ANOVA using SPSS are as follows: Differences in the visual tactility evaluation related to the consumer recognized fabric images showed more significant differences in F/W seasons. The elegance image was shown as relatively thick, the avant-garde image was shown as relatively heavy, thick fabric. The feminine image was shown as relatively thin and smooth fabric, the sporty images were shown to be moist, flexible and elastic, and the mannish images were relatively rough. The romantic images were shown as relatively thin fabrics. The conclusions inferred from the visual tactile evaluation related to the fabric images recognized by consumers vary by major, so the prior information concerning fabrics and trends can affect the selection of images. The results of this study show that in order to produce clothes suitable for fashion product planning by learning about visual tactility that consumers recognize, fabrics component data displayed in fashion trend books from 2016 to 2018 are needed, so the planner can receive help when selecting the fabrics suitable for each trend.

• 치위생과학회지
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• 제17권2호
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• pp.108-115
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• 2017

본 연구는 교사들의 치과위생사 이미지와 치위생직 진로 권유의사를 알아보기 위하여 2016년 2월 1일부터 2월 28일까지 광주광역시에 소재한 인문계 고등학교에서 근무하고 있는 교사 212명을 대상으로 연구 참여에 동의한 대상자에 한해 설문조사를 실시하였으며, 다음과 같은 결론을 얻었다. 치과위생사 이미지 전체 평균은 3.50점이었으며, 영역별로는 개인적 이미지(3.83점)가 가장 높게 나타났다. 연구대상자의 일반적 특성과 치과위생사 이미지 분석 결과, 치과위생사의 소개나 설명을 들은 경험이 있는 경우, 최근 치과치료를 받은 경험이 1년 이내인 경우 유의하게 높게 나타났다(p<0.01, p<0.001). 치과위생사 이미지의 요인 간의 상관관계에서는 통계적으로 유의한 양의 상관관계를 나타냈다. 치과위생사의 이미지에 영향을 미치는 요인을 분석한 결과, 직업적 이미지는 업무적 이미지(B=0.429)와 사회적 이미지(B=0.253)가 높을수록, 업무적 이미지는 직업적 이미지(B=0.328)와 개인적 이미지(B=0.510)가 높을수록, 개인적 이미지는 업무적 이미지(B=0.710)와 치과위생사에 대한 소개나 설명을 들은 경험(B=0.215)이 많을수록, 사회적 이미지는 직업적 이미지(B=0.392)가 높을수록 그리고 치과치료를 받은 경험이 1년 이내(B=0.158)일수록 치과위생사의 이미지가 높았다. 교사의 치위생직 권유 의사에 미치는 영향력을 알아본 결과, 사회적 이미지와 직업적 이미지 점수가 1점 증가할 때 권유 의사가 있을 가능성이 증가하였다. 따라서 치과위생사의 사회적 이미지를 향상시키기 위해서는 전문직에 합당한 근무조건 및 환경 개선이 필요하고, 새로운 전문지식 및 기술 습득을 위한 교육의 기회를 확대하여야 할 것으로 생각된다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.525-527
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• 2003

Recently, the spatial resolution of earth observation satellites is significantly increased to a few meters. Such high spatial resolution images definitely will provide lots of information for detail-thirsty remote sensing users. However, it is more difficult to develop automated image algorithms for automated image feature extraction and pattern recognition. In this study, we propose a two-stage procedure to extract road information from high resolution satellite images. At first stage, a watershed segmentation technique is developed to classify the image into various regions. Then, a knowledge is built for road and used to extract the road regions. In this study, we use panchromatic and multi-spectral images of the IKONOS satellite as test dataset. The experiment result shows that the proposed technique can generate suitable and meaningful road objects from high spatial resolution satellite images. Apparently, misclassified regions such as parking lots are recognized as road needed further refinement in future research.

• 로봇학회논문지
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• 제9권4호
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• pp.232-241
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• 2014

This paper proposes an underwater localization algorithm using probabilistic object recognition. It is organized as follows; 1) recognizing artificial objects using imaging sonar, and 2) localizing the recognized objects and the vehicle using EKF(Extended Kalman Filter) based SLAM. For this purpose, we develop artificial landmarks to be recognized even under the unstable sonar images induced by noise. Moreover, a probabilistic recognition framework is proposed. In this way, the distance and bearing of the recognized artificial landmarks are acquired to perform the localization of the underwater vehicle. Using the recognized objects, EKF-based SLAM is carried out and results in a path of the underwater vehicle and the location of landmarks. The proposed localization algorithm is verified by experiments in a basin.