• Title/Summary/Keyword: Appearance image

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MULTI-CHANNEL VISION SYSTEM FOR ON-LINE QUANTIFICATION OF APPEARANCE QUALITY FACTORS OF APPLE

  • Lee, S. H.;S. H. Noh
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11c
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    • pp.551-559
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    • 2000
  • An integrated on-line inspection system was constructed with seven cameras, half mirrors to split images, 720 nm and 970 nm band pass filters, illumination chamber having several tungsten-halogen lamps, one main computer, one color frame grabber, two 4-channel multiplexors, and flat plate conveyer, etc., so that a total of seven images, that is, one color image from the top side of an apple and two B/W images from each side (top, right and left) could be captured and displayed on a computer monitor through the multiplexor. One of the two B/W images captured from each side is 720nm filter image and the other is 970nm. With this system an on-line grading software was developed to evaluate appearance quality. On-line test results to the Fuji apples that were manually fed on the conveyer showed that grading accuracies of the color, defective and shape were 95.3%, 86% and 91%, respectively. Grading time was 0.35 sec per apple on an average. Therefore, this on-line grading system could be used for inspection of the final products produced from an apple sorting system.

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Accurate Face Pose Estimation and Synthesis Using Linear Transform Among Face Models (얼굴 모델간 선형변환을 이용한 정밀한 얼굴 포즈추정 및 포즈합성)

  • Suvdaa, B.;Ko, J.
    • Journal of Korea Multimedia Society
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    • v.15 no.4
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    • pp.508-515
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    • 2012
  • This paper presents a method that estimates face pose for a given face image and synthesizes any posed face images using Active Appearance Model(AAM). The AAM that having been successfully applied to various applications is an example-based learning model and learns the variations of training examples. However, with a single model, it is difficult to handle large pose variations of face images. This paper proposes to build a model covering only a small range of angle for each pose. Then, with a proper model for a given face image, we can achieve accurate pose estimation and synthesis. In case of the model used for pose estimation was not trained with the angle to synthesize, we solve this problem by training the linear relationship between the models in advance. In the experiments on Yale B public face database, we present the accurate pose estimation and pose synthesis results. For our face database having large pose variations, we demonstrate successful frontal pose synthesis results.

Analysis of Facial Movement According to Opposite Emotions (상반된 감성에 따른 안면 움직임 차이에 대한 분석)

  • Lee, Eui Chul;Kim, Yoon-Kyoung;Bea, Min-Kyoung;Kim, Han-Sol
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.1-9
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    • 2015
  • In this paper, a study on facial movements are analyzed in terms of opposite emotion stimuli by image processing of Kinect facial image. To induce two opposite emotion pairs such as "Sad - Excitement"and "Contentment - Angry" which are oppositely positioned onto Russell's 2D emotion model, both visual and auditory stimuli are given to subjects. Firstly, 31 main points are chosen among 121 facial feature points of active appearance model obtained from Kinect Face Tracking SDK. Then, pixel changes around 31 main points are analyzed. In here, local minimum shift matching method is used in order to solve a problem of non-linear facial movement. At results, right and left side facial movements were occurred in cases of "Sad" and "Excitement" emotions, respectively. Left side facial movement was comparatively more occurred in case of "Contentment" emotion. In contrast, both left and right side movements were occurred in case of "Angry" emotion.

A comparison of demographic and socio-psychological characteristics of obese males according to degree of obesity (비만 남성의 비만 정도에 따른 인구통계 및 사회심리적 특성 비교)

  • Yoh, Eunah
    • The Research Journal of the Costume Culture
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    • v.27 no.2
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    • pp.123-139
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    • 2019
  • This study aims to explore the diverse characteristics of obese groups of Korean males in their 20's to 40's. A total of 201 males who each had a BMI (Body Mass Index) of 23 or over were recruited through a convenient sampling. Samples were categorized into groups of overweight, slightly obese, and severely obese, and submitted for data analysis. Results are summarized as follows. First, in terms of demographic characteristics, slightly and severely obese males were older than overweight males. There were also group differences in marital status and household income. Second, slightly and severely obese groups demonstrated a higher perception of obesity and a lower perception of health than did the overweight group. Third, there were no group differences in body satisfaction, socio-cultural attitudes toward appearance, and self-esteem. Based on these results, we concluded that overweight, slightly obese, and severely obese groups were distinguishable from each other in terms of their demographic characteristics, whereas the slightly obese group and the severely obese group were not different in terms of perception of obesity, perception of health, weight control behaviors, body satisfaction, body image, socio-cultural attitudes toward appearance, and self-esteem. These findings may reflect that people may not become increasingly sensitive to socio-psychological stimulations as they gain more weight if they have exceeded a certain level of obesity. This observation provides meaningful implications for the differences among obesity groups given the lack of prior research focusing on this issue.

Gender Differences in the Influence of Sex Roles on Appearance Satisfaction and Self Esteem (성역할 정체성 및 성역할 불일치가 여성과 남성의 외모만족도와 자아존중감에 미치는 영향 비교)

  • Lee Yoon-Jung
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.3 s.151
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    • pp.436-446
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    • 2006
  • The purpose of this study was to compare the influences of men's and women's sex role identities and sex role discrepancies on their appearance satisfaction and self esteem. Congruency theory, androgyny theory, masculinity theory and self discrepancy theory were used to explore the influence of sex roles on appearance satisfaction and self esteem. Theories suggest that the influence would be different by gender. Data were collected from a convenience sample of 125 men and 197 women aged between 20 and 40 years living in the Seoul metropolitan area. Structural equation modeling was employed to analyze the data. For men, both appearance satisfaction and self esteem were influenced only by their perceived masculinity. For women, however, perceived femininity, femininity discrepancy and masculinity discrepancy had an influence on appearance satisfaction. All the four sex role variables had an influence on women's self esteem. BMI had a negative effect on self esteem for women, but no effect for men. According to the results, unlike men, whose appearance satisfaction and self esteem are only determined by how masculine they are, the women's levels of appearance satisfaction and self esteem are influenced not only by how feminine they are, but also by how masculine and feminine they want to be. The results of this study have implications for body image counselors or practitioners who try to help young women increase their self esteem and satisfaction to their appearance.

Apparel Purchase Behaviors and Image Preferences of Preteen Girls and Their Mothers: Considering Preteen Girls' BMI and Body Image (프리틴 여아의 비만도와 신체이미지에 따른 프리틴 여아와 어머니의 의복구매특성과 의복선호이미지)

  • Moon, Hee-Kang
    • Journal of the Korean Home Economics Association
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    • v.48 no.10
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    • pp.37-49
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    • 2010
  • The purpose of this study was to identify preteen girls and their mothers' apparel image preference and apparel purchase behavior. This study was particularly interested in verifying the influencing factors of plus size preteen girls' apparel choice by investigating the correlations between preteens' physical characteristic and their apparel related variables. Data were obtained from the questionnaire by 190 preteen girls and 120 mothers. The influential power of preteens on apparel purchase decision was greater than that of their mothers, and their preferred apparel images were comfortable/neat, cute/girlish, and mature/chic. Comparing to preteen girls, their mothers preferred comfortable/neat and cute/girlish images to mature/chic apparel image. Their physical maturity levels were significantly correlated with apparel image preference. Moreover, plus size preteen girls' interests in appearance and clothing was higher than that of normal weight preteen girls, this implied potentiality in apparel market for plus size preteen.

Image Compression Technique Using Discrete Wavelet Transform and Fractal Theory (이산 웨이블렛 변환과 프렉탈 이론을 이용한 영상부호화 기법)

  • 김용호;정종근;편석범;이윤배
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.39 no.4
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    • pp.423-430
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    • 2002
  • When JPEG, a standard of stopped image compression, is high compressed, the image is severely blocked. Since JPEG performs compression after taking DCT(Discrete Cosine Transform). It has a defect that the quality of image becomes low with aliasing in the case of high compression. Though transformation cipher method can have high compression rate, flame nay happen to quality of image by transformation and reverse transformation. In this paper, we use wavelet transform and fractal theory in order to solve these problems. After we apply these two methods to stopped image, we can get some good results, improvement of speed and compression rate, and elimination of blocking appearance. Besides, we show quality of restoration image is better than established one.

A Study on the Recognition of Exterior Image of Hanok Building - Using I.R.I Adjective Image Scale - (한옥건축물의 외관 이미지 인식에 관한 연구 - I.R.I 형용사 이미지 스케일을 활용하여 -)

  • Jang, sung-un;Park, Dae-hyun
    • Journal of the Korean Institute of Rural Architecture
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    • v.25 no.4
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    • pp.1-8
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    • 2023
  • This study is meaningful in figuring out how much the Korean people's awareness of hanok has increased even though interest in hanok has also increased due to the Korean Wave craze. Therefore, with respect to the exterior of hanok, which is visually recognized first, the level of experts and ordinary people is grasped through a semantic discrimination scale, and the degree of visual recognition is to be investigated centering on the color image of hanok buildings. This is the process of thinking about how the Korean image should be reflected in the design, and we want to suggest the direction that modern hanok should go. The study compared and analyzed the difference in visual color based on the elevation of the hanok using a 7-point and 5-point scale method for the general public and experts, and utilized the IRI adjective vocabulary scale and the color matching image scale to construct new hanoks with insufficient differences in appearance and shape. It can be applied to design and image preservation and construction of existing hanok.

By Basic Plane Figure, An Analysis Study on Appearance Type of Character in Domestic Kids TV Animation -Focus on the Broadcasting Animation on EBS- (기본 평면도형을 활용한 국내 TV 유아동 애니메이션 캐릭터 형태 분석 -한국교육방송 방영작을 중심으로-)

  • Kim, Suk-Rae;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.14 no.4
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    • pp.397-405
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    • 2016
  • Specially, the character in the kids animation is the fundamental visual element, and also has the high value which is to connect to various related businesses. The main purpose of this study is the analysis for character's appearance by the basic plane figure, and it has studied on the authority of recognition capability which is to catch the simple shape rapidly and clearly rather than complex shape. For this study, I established the standard of analysis and then applied that to the characters which were selected in broadcasting domestic kids animation on EBS. Through this procedure, I analyzed character's appearance with the distribution chart. As the result, the circular and oval shapes are the most frequently used shapes for character's appearance. Finally, I expect the result of this study could be one of the design index for the character creation in practical environment.

3D Object Recognition Using Appearance Model Space of Feature Point (특징점 Appearance Model Space를 이용한 3차원 물체 인식)

  • Joo, Seong Moon;Lee, Chil Woo
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.2
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    • pp.93-100
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    • 2014
  • 3D object recognition using only 2D images is a difficult work because each images are generated different to according to the view direction of cameras. Because SIFT algorithm defines the local features of the projected images, recognition result is particularly limited in case of input images with strong perspective transformation. In this paper, we propose the object recognition method that improves SIFT algorithm by using several sequential images captured from rotating 3D object around a rotation axis. We use the geometric relationship between adjacent images and merge several images into a generated feature space during recognizing object. To clarify effectiveness of the proposed algorithm, we keep constantly the camera position and illumination conditions. This method can recognize the appearance of 3D objects that previous approach can not recognize with usually SIFT algorithm.