• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.113-123
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• 2016

The purpose of this study is to look into the effect of wearing color lenses on one's image and was based on 221 college students in Gyeonggi-do and Gangwon-do. I examined how it appears as the evaluation factor visually. After by looking in the different image effect and relevance as to the classified evaluating factors, I tried to look into what effect the color lenses has on woman eye and image. The result is as follows. It appears that wearing color lenses makes one look fancier, more attractive, sophisticated, and favorable, whereas not wearing color lenses makes one look softer, weaker, more innocent, and comfortable. Analyzing these evaluations showed that wearing color lenses has most to do with attractiveness followed by pureness, familiarity, and decorativeness in order, whereas not wearing color lenses has most to do with familiarity followed by attractiveness, pureness, and decorativeness. It is considered that eyes with color lenses on them make the person seem decorative, attractive, and pure, which brings effect of improving one's eye and face image. Analyzing the correlation between each color lenses-wearing factor and one's image showed that when a person is wearing color lenses, the more the person is considered decorative, pure, and attractive, the more it has to do with improving the person's eye and face image. The result, therefore, shows that wearing color lenses makes one's eye and face image attractive, pure, and decorative, and wearing them is an important means to improve one's eye and face image.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.8
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• pp.1136-1141
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• 2022

Researches of face recognition on masked faces have been increasingly important due to the COVID-19 pandemic. To realize a stable and practical recognition performance, large amount of facial image data should be acquired for the purpose of training. However, it is difficult for the researchers to obtain masked face images for each human subject. This paper proposes a novel method to synthesize a face image and a virtual mask pattern. In this method, a pair of masked face image and unmasked face image, that are from a single human subject, is fed into a convolutional autoencoder as training data. This allows learning the geometric relationship between face and mask. In the inference step, for a unseen face image, the learned convolutional autoencoder generates a synthetic face image with a mask pattern. The proposed method is able to rapidly generate realistic masked face images. Also, it could be practical when compared to methods which rely on facial feature point detection.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.1-11
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• 2020

Image-based virtual try-on (VTON) is becoming popular for online apparel shopping, mainly because of not requiring 3D information for try-on clothes and target humans. However, existing 2D algorithms, even when utilizing advanced non-rigid deformation algorithms, cannot handle large spatial transformations for complex target human poses. In this study, we propose a 3D clothing reconstruction method using a 3D human body model. The resulting 3D models of try-on clothes can be more easily deformed when applied to rest posed standard human models. Then, the poses and shapes of 3D clothing models can be transferred to the target human models estimated from 2D images. Finally, the deformed clothing models can be rendered and blended with target human representations. Experimental results with the VITON dataset used in the previous works show that the shapes of reconstructed clothing are significantly more natural, compared to the 2D image-based deformation results when human poses and shapes are estimated accurately.

• Proceedings of the Costume Culture Conference
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• 2003.09a
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• pp.85-86
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• 2003

의복은 비언어적 상징으로서 의사를 전달하는 무언의 언어로 이용되어 사람들은 의복을 통해 자기를 나타내며 동시에 다른 사람을 지각하고 평가하게 되는데 이러한 역할은 현대사회에 와서 더욱 강조되었다. 따라서 소비자들은 이미지라는 감정적ㆍ주관적인 요소로써 의류상품을 평가, 구매하는 경우가 많다. 이에 본 연구에서는 여자 대학생을 대상으로 자신이 생각하는 자기 이미지에 따른 실제 착용하는 의복이미지, 추구하는 의복이미지와 의복구매행동을 조사하는 것을 목적으로 하며 의류산업체에서 의류상품개발을 위한 자료를 제공하고자 하였다. (중략)

• Journal of Broadcast Engineering
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• v.27 no.6
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• pp.944-947
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• 2022

Due to the coronavirus pandemic, the wearing of a mask has been increasing worldwide; thus, the importance of image analysis on masked face images has become essential. Although head pose estimation can be applied to various face-related applications including driver attention, face frontalization, and gaze detection, few studies have been conducted to address the performance degradation caused by masked faces. This study proposes a new data augmentation that synthesizes the masked face, depending on the face image size and poses, which shows robust performance on BIWI benchmark dataset regardless of mask-wearing. Since the proposed scheme is not limited to the specific model, it can be utilized in various head pose estimation models.

• Proceedings of the Costume Culture Conference
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• 2004.04a
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• pp.144-146
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• 2004

설문지를 이용한 조사연구법에 의해 실행되었으며, 현재 생활한복 디자인 교복을 착용하는 2개 고등학교 학생과 양장교복을 착용하고 있는 2개 고등학교 학생 560명을 조사대상으로 하였으며, 표본은 2003년 10월 조사 당시 모든 조사대상자는 7개월 이상의 교복 착용경험기간을 가지고 있는 학생들로 구성되었다. 자료는 빈도분석, 요인분석, t-test때 의해 분석되었다. (중략)

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.11a
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• pp.193-195
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• 2022

본 논문에서는 3차원 스캔 없이 이미지 입력만을 사용한 개인 체형을 고려한 모바일 가상 착용 시스템의 전체 과정을 설계하고 개발하였다. 이를 위하여 이미지상 인물의 자세와 체형의 추정을 통하여 3차원 인체모델(SMPL)을 추정하는 최근의 방식을 이용하였고, 앞 뒷면 의상 이미지를 2차원 texture 매핑과 평면 triangle mesh로 복원하고 의상 봉제 (sewing) 시뮬레이션을 사용하여 3차원 의상 모델을 생성하는 방법을 새롭게 개발하였다. 또한 이를 활용한 3차원 개인화된 가상 착용 모바일 앱과 서비스를 Flask와 iOS 환경에서 SceneKit을 활용하여 개발하였다. 이를 통하여 단순히 의상의 매칭과 스타일 뿐 아니라 사이즈에 따른 착용 Fit을 구매 전에 확인할 수 있는 전체 서비스를 실현 및 검증하였다.

• Science of Emotion and Sensibility
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• v.11 no.3
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• pp.325-338
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• 2008

This study aims to characterize the effect of different combinations of chromatic-achromatic colors and area-ratio of stripe necktie, and gender on the image of male wearer. The experimental materials developed for this study are a set of stimuli and response scales. The stimuli consist of 84 color pictures manipulated with every combination of 12 different colors and 7 different area-ratio. The 7-point scale designed for visual evaluation of image formation included 26 bipolar adjectives. The subjects were 2016 undergraduate students in Gyeongnam, Seoul, Busan, and Daegu areas. The results of this study were as follows.; The analyses of images of male wearer in terms of combinations of chromatic-achromatic colors and area-ratio of oblique stripe necktie reveal that the concerned factors are of five characteristic dimensions of youth-activity, ability, attractiveness, appeal, and warmness. In addition, it has been found that individual images of male wearer are affected by observer's gender as well as combinations of chromatic-achromatic colors and area-ratio of stripe neckties and that those images vary with every combination of each factor. The study results are highly expected to be used as useful sources in developing necktie designs.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.6
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• pp.29-38
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• 2018

In this paper, we developed a virtual cloth try-on (VTON) technology that segement the cloth image worn on the mannequin and applies it to the user 's photograph. The two-dimensional image-based virtual wear study which does not require three-dimensional information of cloth and model is of practical value, but the research result shows that there are limitations of of the current technology for the problem of occlusion or distortion. In this study, we proposed an algorithm to apply the results obtained from the DNN- based segmentation and posture estimation to the user 's photograph, assuming that the mannequin cloth reduces the difficulties in this part. In order to improve the performance compared with the existing one, we used the validity check of the pre-attitude information, the improvement of the deformation using the outline, and the improvement of the divided area. As a result, a significantly improved result image of more than 50% was obtained.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.337-338
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• 2022

본 연구에서는 마스크 착용이 필수가 된 시대를 살고 있는 20대를 대상으로 하여 마스크에 대해서 어떤 인식을 가지고 있는지를 조사하여 그 인식을 유형화하고 유형별 특성을 알아보고자 하였다. 이를 통해 마스크를 착용하는 사람들이 어떤 생각을 가지고 마스크를 사용하는가와 어떤 제품을 원하는지를 분석하고자 하였다. 본 연구는 Q방법론을 사용하였으며, 분석에는 쿼넬 pc프로그램을 활용하였다. 마스크에 대한 인식유형은 3개로 분류되었다. 유형 1은 마스크를 늘 착용하며 마스크가 비언어적 커뮤니케이션과 착용자의 이미지에 영향을 미친다고 생각하는 '상시 착용 영향 중시형'이었다. 유형 2는 마스크를 세균을 막기 위해 착용하며 마스크가 부정적 영향이 크다고 생각하는 '기능 중시 부정 인식형'이었다. 유형 3은 얼굴을 가리기 위해 마스크를 착용하고 마스크 착용 시 사람이 젊어 보인다고 생각하는 '은폐 착용 긍정 이미지형'이었다. 본 연구는 20대만을 대상으로 하여 다른 연령대의 마스크에 대한 인식을 알아보지 못하였다. 향후 연구에서는 다양한 연령대의 마스크에 대한 인식을 알아볼 필요가 있으며, 인식유형에 따른 마스크 디자인 개발에 관한 연구가 이루어져야 할 것으로 생각된다.