• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4395-4412
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• 2020

The multisource image fusion has become an active topic in the last few years owing to its higher segmentation rate. To enhance the accuracy of multimodal pig-body feature segmentation, a multisource image fusion method was employed. Nevertheless, the conventional multisource image fusion methods can not extract superior contrast and abundant details of fused image. To superior segment shape feature and detect temperature feature, a new multisource image fusion method was presented and entitled as NSST-GF-IPCNN. Firstly, the multisource images were resolved into a range of multiscale and multidirectional subbands by Nonsubsampled Shearlet Transform (NSST). Then, to superior describe fine-scale texture and edge information, even-symmetrical Gabor filter and Improved Pulse Coupled Neural Network (IPCNN) were used to fuse low and high-frequency subbands, respectively. Next, the fused coefficients were reconstructed into a fusion image using inverse NSST. Finally, the shape feature was extracted using automatic threshold algorithm and optimized using morphological operation. Nevertheless, the highest temperature of pig-body was gained in view of segmentation results. Experiments revealed that the presented fusion algorithm was able to realize 2.102-4.066% higher average accuracy rate than the traditional algorithms and also enhanced efficiency.

• 한국의상디자인학회지
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• 제15권2호
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• pp.1-13
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• 2013

The study is to provide basic data on improving costume's fitting by developing physical integrated Basic Bodice Block's development for body types of adult women, which is based on setting up body-type information per truncus as fundamental of adult women's top product manufacture in being ready for Mass Customization era. Also, after review on the objectivity and accuracy of fitting information by real wear and virtual wear experiment on body types, not only 3D virtual clothing system was used as way of information provider of Clothing product, but also provided as basic data in order to use effectively on portion of clothing passion in responding to trend of Mass customization in advance. The consequence of the study is as followings. After analyzing significance differences per items on real and virtual wear evaluation, bowed type of type 1 had significance differences on waist measurement and hip circumference in back and side, which would be knowing as not integrated with costume, affecting form of human body according to virtual wear system bended on back region. Also, in side evaluation, every types except straight body type of type 3 appeared significant differences. In virtual wear evaluation, costume's expression with side body types were not similar to real wear until now except straight body types. It would be improvement things from 3D virtual wear system in advance.

• 한국의류학회지
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• 제47권3호
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• pp.442-458
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• 2023

This study aimed to elucidate the information privacy attitudes and behaviors of users of size recommendation services based on body information. Focusing on the privacy calculus theory, the effects of information privacy concerns as well as perceived risk and benefit of information disclosure on information disclosure intention were analyzed. Consumers who used size recommendation services based on body information were surveyed from August 18 to 24, 2022. Analysis of the 251 responses collected revealed that information privacy concerns did not significantly affect information disclosure intention. Information privacy concerns had a positive effect on perceived privacy risk; however, perceived privacy risk had a negative effect on information disclosure intention, while perceived privacy benefit had a positive effect on information disclosure intention. Therefore, the privacy calculus theory confirms the existence of the privacy paradox, revealing perceived privacy benefit has a greater impact on information disclosure intention than perceived privacy risk.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.509-514
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• 2006

Human action recognition is an active research area in computer vision. In this paper, we present a robust method for human action recognition by using combined information of human body shape and motion information with multiple views image sequence. The principal component analysis is used to extract the shape feature of human body and multiple block motion of the human body is used to extract the motion features of human. This combined information with multiple view sequences enhances the recognition of human action. We represent each action using a set of hidden Markov model and we model each action by multiple views. This characterizes the human action recognition from arbitrary view information. Several daily actions of elderly persons are modeled and tested by using this approach and they are correctly classified, which indicate the robustness of our method.

• International Journal of Human Ecology
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• 제9권1호
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• pp.97-106
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• 2008

This study investigated the relationships between eating disorder risk, body image perception, weight control, and dietary habits in Korean women. Body shape perception, the Eating Attitude Test (EAT-26) and dietary habit information were collected by a self-administered questionnaire to 373 adult women and the data were analyzed by the Chi-square test. 31.4% of the women were classified in the eating disorder group by a score of over 20 points on the EAT-26. Compared to the normal group, more women in the eating disorder risk group perceived that a thin body shape was the ideal body shape and were dissatisfied with their body shape. This group was also more interested in weight control and more likely to try weight control methods. The eating disorder risk group was more likely to skip meals and snacks than the normal group. In addition, they had a greater appetite and a higher frequency of overeating than the normal group. Over 30% of the Korean women surveyed were categorized at high risk of eating disorders. They were more likely to overestimate body weight and shape and tried to control their weight by inappropriate methods. To prevent eating disorders in adult women, nutrition education programs should incorporate strategies to change inaccurate self-body image and to disseminate information about healthy weight control methods.

• 대한기관식도과학회지
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• 제18권1호
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• pp.13-18
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• 2012

Objective This study was conducted to gather basic information of 3D CT in detecting and gaining information of esophageal foreign body (FB) models. Materials and Methods The chest model was made using PVC bottle, rubber balloon and plaster. Fish bone, Persimmon stone were used to mimic foreign bodies of esophageal model. The foreign body models were inserted into the balloon removing air from it and the balloon was sealed. The esophageal FB model was inserted into the chest model. The remaining space in the chest model was filled with fish paste and water to simulate soft tissue around esophagus. CT of chest model was reconstructed three-dimensionally by Rapidia software to make images of foreign body models. The axial CT, MPR image and VOI image were compared with real foreign body materials as to shape, size, location and orientation. Results Esophageal FB models were easily made. CT data gave good 3D images and showed realistic foreign body materials. Conclusion The results indicate the usefulness of 3D CT technique to help in diagnosis of esophageal foreign body models.

• 복식문화연구
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• 제22권6호
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• pp.965-978
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• 2014

To determine the parameters to be considered when designing lower-body apparel, we analyzed the lower-body figures of adult women in their early 20s from Shanghai, China, using 3-dimensional whole body scanner. Thirty-nine lower-body-related measurements were used to analyze the figures of 210 Chinese women. Obesity and height of the lower body, length from waist to crotch, shape of abdomen, and leg bone length were analyzed. Factor analysis was performed and the results were classified into three clusters. The first cluster describes the obesity of the lower body, the second denotes small hip measurement, and the third describes slim and long legs. This is the first study to quantify figure analysis of the lower body of Chinese women using 3-dimensional body measurements. The findings of this study will provide concrete information regarding crotch width, crotch length, inseam, outseam, waist slope, etc., for designing trouser patterns for Chinese adult women.

• 인터넷정보학회논문지
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• 제18권6호
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• pp.85-92
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• 2017

최근 영상감시 분야에서는 영상에서 움직이는 사람을 탐지하고, 탐지된 사람의 행위를 분석하는 방식에 딥러닝 기반 학습방법이 적용되기 시작했다. 이러한 지능형 영상분석 기술을 적용할 수 있는 분야 중 하나인 인간 행위 인식은 객체를 탐지하고 탐지된 객체의 행위를 인식하기 위해 신체 키포인트를 검출 하는 과정을 거치게 된다. 본 논문에서는 RGB-D 정보를 이용한 객체 탐지 기반의 신체 키포인트 검출 방법을 제시한다. 먼저, 두 대의 카메라로 생성된 색상정보와 깊이정보를 이용하여 이동하는 객체를 배경으로부터 분할하여 탐지한다. RGB-D 정보를 이용하여 탐지된 객체의 영역을 재조정하여 생성된 입력 데이터를 한 사람의 자세 추정을 위한 Convolutional Pose Machines(CPM)에 적용한다. CPM을 이용하여 한 사람당 14개의 신체부위에 대한 신념 지도(Belief Map)를 생성하고, 신념 지도를 기반으로 신체 키포인트를 검출한다. 이와 같은 방법은 키포인트를 검출할 객체에 대한 정확한 영역을 제공하게 되며, 개별적인 신체 키포인트의 검출을 통하여 단일 신체 키포인트 검출에서 다중 신체 키포인트 검출로 확장 할 수 있다. 향후, 검출된 키포인트를 이용하여 인간 자세 추정을 위한 모델을 생성할 수 있으며 인간 행위 인식 분야에 기여 할 수 있다.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.392-399
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• 2005

Shear modulus (or rigidity) of dam material is an important parameter which can be directly associated with the deformation of dam. Seepage or leakage of water can cause the defects or cracks of dam body. The existence of cracks and rigidity of dam body are decisive information for the estimation of dam safety. Rigidity of material is mainly determined from S-wave velocity and the defects of dam body can be detected by seismic reflection survey. Therefore, seismic reflection survey will be a desirable method which can give a solution about dam safety problem. Among various physical properties of dam body, S-wave velocity is the most important information but it is not easy to get the information. In this study, diverse measuring techniques of S-wave reflection survey were attempted to get the information about S-wave velocity of dam body. Ultimately, S-wave velocity could be estimated by the analysis of SH reflection events which can be easily observed in shot gather data obtained from SH measuring technique. Meanwhile, P-wave reflection survey was also performed at the same profile. P-beam radiation technique which can reduce the surface waves and reinforce the P-wave reflection events was applied for giving a help to analyse P-wave velocity. In the end, P-and S-wave velocity, Vs/Vp, Poisson's ratio distribution of the vertical section under the profile could be acquired.

• 패션비즈니스
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• 제27권5호
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• pp.26-43
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• 2023

This study sought to typify and characterize the upper body shape of women with large breasts by classifying only Korean adult women aged 20-69 years whose difference dimension between bust and underbust circumference was 12.5 cm or greater. This study attempted to provide necessary information for the development of upper body clothing for women with large busts. Upper body horizontal, upper body height, shoulder size, upper body length, and shoulder slop factor were extracted to constitute upper body shapes of women with large busts. Upper body shapes of women with large busts were classified into four types: low obese upper body tall body type, high normal upper body short body type, drooping shoulders slender upper body tall body type, and broad shoulders slender upper body short body type. Upper body proportions of women with and without large busts were analyzed as follows. Women with large breasts had narrower shoulder width compared to bust width and waist width. Their underbust and waist circumferences were larger than their bust circumferences. For the development of tops for women with large busts, bodice pattern development was required, taking into account shoulder width, chest, and upper body length. Future studies should focus on angles of busts in more detail. Research should be conducted on the development of bodice by upper body type of women with large busts analyzed.