• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.6 no.2
• /
• pp.734-750
• /
• 2012

CAPTCHAs are automated tests that are there to avoid misuse of computing and information resources by bots. Typical text-based CAPTCHAs are proven to be vulnerable against malicious automated programs. In this paper, we present an image-based CAPTCHA scheme using easily identifiable human appearance characteristics that overcomes the weaknesses of current text-based schemes. We propose and evaluate two applications for our scheme involving 25 participants. Both applications use same characteristics but different classes against those characteristics. Application 1 is optimized for security while application 2 is optimized for usability. Experimental evaluation shows promising results having 83% human success rate with Application 2 as compared to 62% with Application 1.

• Proceedings of the Korean Fiber Society Conference
• /
• 1998.10a
• /
• pp.290-294
• /
• 1998

Colour tone, lustre, surface roughness of fabrics are very important factors in pursue of the beauty of external appearance, namely aesthetic appearance, and the dynamic functionality of fabric used to clothe the human body. Drape is one of many factors that influence the aesthetic appearance of fabric and has an outstanding effect on the formal beauty of fabric. For this reason, the measurement and understanding of drape is required to specify the performance of fabric used in clothing. (omitted)

• Anxiety and mood
• /
• v.19 no.1
• /
• pp.1-9
• /
• 2023

Objective : To translate and adapt the Social Appearance Anxiety Scale into Korean and validate the Korean version of the social appearance anxiety scale, which measures the fear and anxiety about being negatively evaluated by others based on one's overall appearance, including body shape. Methods : For item translation and adaptation, six bilingual translators participated in the process of forward-adaptation and back-adaptation. Data were collected from undergraduate students. The sample size is 105 for Study 1 and 212 for Study 2. Classical item discrimination and difficulty analyses, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis were performed. Results : A unidimensional structure was found with a high internal consistency (Cronbach's α=0.95) and a high test-retest reliability (r=0.918). In addition, the concurrent validity was examined by correlations of the scale and several other scales measuring constructs related to social appearance anxiety. Conclusion : K-SAAS appears to be a reliable and valid scale for screening and assessing social appearance anxiety.

• Fashion & Textile Research Journal
• /
• v.11 no.5
• /
• pp.799-807
• /
• 2009

The purpose of this study was to examined which the pursuing image, make-up and hair style desire on their wedding day and how the future brides managed their appearance for the wedding. This qualitative research was based on the data collected by in-depth interviews with 15 brides in their 20s, 30s and 40s who reside in Daegu and Gyeongbuk. The results of the study are shown follow: The images that the brides most pursued for the wedding day were elegant images and refine images. The favorite wedding-dress styles of brides were elegant, refine, lovely, classical, and natural style in order of preference. The design of the dress was top priority when selecting the wedding-dress and it was followed by the function that complements anyones' shape. The brides liked natural style wedding make-up most and refine and young one followed. They considered eye make-up most important after skin expression, that is, covering defects of their skin. Concerning wedding hair styles, an up-style which is typical for wedding is desired most and a natural flowing hair style second. Regarding fitness, they mainly took physical exercise and went on a diet which is not unreasonably harsh.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.17 no.3
• /
• pp.428-435
• /
• 1993

The purpose of this study was to investigate the difference of the visual evaluation about clothing texture, the state of wearing and the method of presentation. The data from observation were analyzed by factor analysis, t-test, ANOVA, Scheffe test and MCA. The results of this study were as follows ; 1. 17 pairs of discriptors used for the visual evaluation of clothing stimuli were found to include four factor dimensions(total variance 65.6%) ; Attention, Appearance, Texture, Maturity. 2. For the image of clothing texture, there were significant differences in the attention and texture. 3. For the image of the state of wearing, there were significant differences in the attention and appearance. 4. For the image of the method of presentation, there were significant differences in the clothing texture and the state of wearing. 5. According to clothing texture, the state of wearing and the method of presentation, the interaction effect was significant in the attention and appearance.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.19 no.2
• /
• pp.340-355
• /
• 1995

purpose of this study was to trace historically the causes of the visual inconsistency of seXual ilT'age in dress with versatile perspectives. For this purpose, theoretical studies about the concepts of sexuality in dress were precceded. To trace the factors of the visual inconsistency of sexual image in dress, historical studies from ancient Egypt to modern ages were done. And then, the factors of the visual inconsist\ulcornerency of sexual image in dress were identified. The synthetic results were as follows; L The visual inconsistency of sexual image in dress shows the phenomena that men introduce the traditional feminine image in dress (ex. X silhouette, skirts), whereas women do the traditional masculine image (ex. Y silhouette, pants), which arouse androgynous image in appearance. And, it also indicates that men or women wear the dress excluded the traditional masculine image as well as the traditional feminine image, which arouse neutral image in appearance. 2. The visual inconsistency of sexual image in dress have been existed historically, from Egypt to modern ages. 3. The visual inconsistency of sexual image III dress was caus~d by various factors as follows; First, ideal beauty of the times which did not distinguish between masculinity and femininity resulted in the visual inconsistency of sexual image in dress. Second, as a means of seeking pleasure, the visual inconsistency of sexual image in dress was used. Third, as a means of expressing ideology, the visual inconsistency of sexual image in dress was selected. Forth,in religious meaning,the visual inconsistency ofl sexual image in dress was appeared. Fifth,popularization of sports and occupational role made woman adopt the masculine image in dress in view of the aspects of functionalism. Sixth,Undevelopment of taloring contributed to generate androgenous image in dress.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.53 no.1
• /
• pp.118-125
• /
• 2016

This study evaluates the performance of image to patient registration algorithm by using stereo vision and CT image for facial region surgical navigation. For the process of image to patient registration, feature extraction and 3D coordinate calculation are conducted, and then 3D CT image to 3D coordinate registration is conducted. Of the five combinations that can be generated by using three facial feature extraction methods and three registration methods on stereo vision image, this study evaluates the one with the highest registration accuracy. In addition, image to patient registration accuracy was compared by changing the facial rotation angle. As a result of the experiment, it turned out that when the facial rotation angle is within 20 degrees, registration using Active Appearance Model and Pseudo Inverse Matching has the highest accuracy, and when the facial rotation angle is over 20 degrees, registration using Speeded Up Robust Features and Iterative Closest Point has the highest accuracy. These results indicate that, Active Appearance Model and Pseudo Inverse Matching methods should be used in order to reduce registration error when the facial rotation angle is within 20 degrees, and Speeded Up Robust Features and Iterative Closest Point methods should be used when the facial rotation angle is over 20 degrees.

• Korean Journal of Human Ecology
• /
• v.16 no.4
• /
• pp.877-884
• /
• 2007

Today the number of economically independent women are increasing in Korea, they have a tendency to pay more attention to their appearance in their social life. Female university students show a high tendency of that kind, especially when they prepare for their job interviews. They purchase beauty products, visit beauty salons and skin care centers to improve their looks. Above all, their interest in nail art is amazingly increasing for maintaining their self-image. This study thus aims at surveying the relationship between college woman's life style and their interest in nail care, by analysing life styles of college women pursuing up-to-date style. The results show that an 'egoistic' type has a high interest in and a high frequency of using a nail care center, and 'egoistic' type's demand for the nail service is equal to or quite higher than 'appearance-oriented' type's. That means that the 'egoistic' type seems to pay much attention to how they look, because they think their neat appearance help to accomplish their ego.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.2
• /
• pp.775-792
• /
• 2015

Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.2C
• /
• pp.141-149
• /
• 2007

Associating the shoulder line with head location of the human body is useful in verifying, localizing and tracking persons in an image. Since the head line and the shoulder line, what we call ${\Omega}$-shape, move together in a consistent way within a limited range of deformation, we can build a statistical shape model using Active Shape Model (ASM). However, when the conventional ASM is applied to ${\Omega}$-shape fitting, it is very sensitive to background edges and clutter because it relies only on the local edge or gradient. Even though appearance is a good alternative feature for matching the target object to image, it is difficult to learn the appearance of the ${\Omega}$-shape because of the significant difference between people's skin, hair and clothes, and because appearance does not remain the same throughout the entire video. Therefore, instead of teaming appearance or updating appearance as it changes, we model the discriminative appearance where each pixel is classified into head, torso and background classes, and update the classifier to obtain the appropriate discriminative appearance in the current frame. Accordingly, we make use of two features in fitting ${\Omega}$-shape, edge gradient which is used for localization, and discriminative appearance which contributes to stability of the tracker. The simulation results show that the proposed method is very robust to pose change, occlusion, and illumination change in tracking the head and shoulder line of people. Another advantage is that the proposed method operates in real time.