• 한국의상디자인학회지
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• 제17권3호
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• pp.85-98
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• 2015

Modern fashion shows the trend of various styles and the period focusing on only product functions is changed to the period focusing on consumer's sensibility. Consumers show different sensitivities and preference by individual at the stage cognizing and recognizing the stimulation of given image and the method of objective measurement based on the fashion sensible vocabularies is necessary to measure fashion sensibility. Therefore, this research is significant to examine differences of preference to classic fashion by generation and awareness for sensible vocabularies and suggest methodology of design sensible evaluation research through the quantitative evaluation objectifying subjective sensibility. For the method of research, precedent theses related to classic, concept and characteristics of classic in books and definition and characteristics by generation were examined, the best 3 domestic portal sites were selected and adjective vocabularies and images related to classic were collected from 2010 to 2014. Among the 206 adjectives collected, vocabularies whose average is more than 3.5 were drawn by 5-point Likert scale for fashion expert group. And, among the total 306 images collected, 21 representative images were selected by preliminary investigation of fashion expert group. For the classic images and vocabularies selected, frequency analysis, factor analysis and variance analysis were conducted by SPSS 19.0. The results of analysis are as follows. Preference to classic fashion image by generation was analyzed. As a result, both of two generations selected classic fashion as the most classic one. The images of the next orders were analyzed. As a result, Y generation selected basic classic fashion image which is casual with high activity as a classic one. Baby boom generation selected ancient classic fashion image, so there were differences in preference for classic by generation. As a factor analysis on classic adjective vocabularies, they could be divided into 5 factors such as basic form, attractive form, traditional form, vintage form and active form and they verified that credibility of all measuring variables for classic sensible vocabularies was achieved. Differences of classic sensible vocabularies by classic fashion image and generation were examined. As a result, generation and classic fashion image made a significant effect on five factors. Therefore, there were differences of the awareness on classic fashion images and sensible vocabularies among the generations and this thesis can be a fundamental material which objectifies subjective sensibility and suggests the methodology of new research.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.I
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• pp.41-45
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• 2005

A new algorithm of the image mapping which is a technique of the elemental image generation is proposed. The proposed method is based on the characteristics of the lens array such as the number, the size and the focal length of the elemental lens. The 3D image generated by 3D graphic API such as OpenGL can be directly adopted without the complex adaptation. Since the image mapping using the proposed method can enhance the speed of the elemental image generation, the computer- generated integral imaging system can be applied to virtual reality system.

• International Journal of Contents
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• 제10권3호
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• pp.9-16
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• 2014

Depth-image-based rendering is generally used in real-time 2D-to-3D conversion for 3DTV. However, inaccurate depth maps cause flickering issues between image frames in a video sequence, resulting in eye fatigue while viewing 3DTV. To resolve this flickering issue, we propose a new 2D-to-3D conversion scheme based on fast and robust depth-map generation from a 2D video sequence. The proposed depth-map generation algorithm divides an input video sequence into several cuts using a color histogram. The initial depth of each cut is assigned based on a hypothesized depth-gradient model. The initial depth map of the current frame is refined using color and motion information. Thereafter, the depth map of the next frame is updated using the difference image to reduce depth flickering. The experimental results confirm that the proposed scheme performs real-time 2D-to-3D conversions effectively and reduces human eye fatigue.

• 한국의상디자인학회지
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• 제13권2호
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• pp.13-26
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• 2011

The purpose of this study is to analyze the preference of design and body shape for korean baby-boom generation women. For this study, in-depth interviews were carried out to 11 women who were born in 1955~1963. They are called korean baby-boom generation. The results were as follows; 1) Korean baby-boom generation women care to their body shape, and they make much of the balance of body, not just looking slim. 2) Korean baby-boom generation women become more interested in their clothing, and they want to look with casual image than elegant image before. But overweight women preferred elegant image. 3) Korean baby-boom generation women prefer mix-match style for everyday clothes, but they prefer suit-set for formal wear. 4) When Korean baby-boom generation women choose of jacket or coat color, they consider more of their body-shape than season color. 5) Korean baby-boom generation women prefer plain style and jacquard with metal yarn. 6) Korean baby-boom generation women prefer out-door cloth fabric, at special time, they choose pure wool and pure silk. At ordinary time, they like more comfortable fabric like cotton mixed spandex or wool mixed spandex blends.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권7호
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• pp.2434-2448
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• 2014

This research proposed the domain division depth map quantization for multiview intermediate image generation using Depth Image-Based Rendering (DIBR). This technique used per-pixel depth quantization according to the percentage of depth bits assigned in domains of depth range. A comparative experiment was conducted to investigate the potential benefits of the proposed method against the linear depth quantization on DIBR multiview intermediate image generation. The experiment evaluated three quantization methods with computer-generated 3D scenes, which consisted of various scene complexities and backgrounds, under varying the depth resolution. The results showed that the proposed domain division depth quantization method outperformed the linear method on the 7- bit or lower depth map, especially in the scene with the large object.

• 패션비즈니스
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• 제18권6호
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• pp.208-221
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• 2014

The purpose of this study was to investigate the effects of the hair style, and perceiver's generation on the perception of a high schoolgirl's image. A quasi-experimental method by questionnaire was used. The subjects were 253 high schoolgirls and their mothers living in Jinju. The data were analyzed by using frequency, factor analysis, Cronbach's alpha-reliability coefficient, three-way ANOVA, and Duncan's multiple ranges test. The high schoolgirl's image was derived in five dimensions by factor analysis: schoolgirl look, prettiness, individuality, activeness, and cuteness. In the image based on the hair length, it was assessed that the short cut and the bobbed hair styles looked more like school girls. And the short cut and long hair styles were considered as showing individuality. On the other hand, the bobbed hair style was assessed as cuter than styles of other lengths. For the bangs, the short bangs were found to more school-girl look and cuter than the long bangs. The mother group, whose ages were older than that of the other group, evaluated that the stimulative pictures had more school-girl look, individuality, prettiness, activeness and cuteness, compared to how the school girl group evaluated. It was shown that the generation gap produced different opinions about the stimulative pictures. Therefore hair style, bangs style, and difference in generations were found to be the variables affecting perception of high school girl image.

• 인터넷정보학회논문지
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• 제18권5호
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• pp.79-85
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• 2017

본 논문은 모바일 스마트 단말에서 파노라마 이미지 생성 프로세스를 단축하기 위해 모바일 애드혹 클라우드를 활용하는 방법을 제시한다. 파노라마 이미지 생성과 관련된 작업을 효율적으로 모바일 애드혹 클라우드에 분배하기 위해 이미지 획득 및 정렬 방법을 제안하고 작업분배에 대한 오프로딩 결정 알고리즘을 제안한다. 제안된 방법을 안드로이드 운영체제 기반의 모바일 스마트 단말에 직접 적용하여 파노라마 이미지 생성 프로세스에 미치는 영향을 분석한다.

• 한국정보통신학회논문지
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• 제17권1호
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• pp.15-31
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• 2013

본 논문은 최근 관심이 고조되고 있는 디지털 홀로그램의 시야각을 확보하기 위하여 시청자의 시점을 추적하여 그 시점에 해당하는 데이터를 생성하고, 이를 디지털 홀로그램으로 변환하는 방법을 제안한다. 이 방법은 제어하는 시야각의 맨 좌측과 맨 우측 시점에 대한 정보(깊이정보와 컬러 또는 명도정보)가 주어졌다고 가정한다. 이 방법은 주어진 좌, 우측의 깊이영상을 대상으로 스테레오 정합에 의해 단위 깊이 당 의사변위증분을 구하여 사용한다. 이를 이용하여 주어진 좌, 우측시점으로부터 원하는 가상시점의 정보를 생성하고, 그 결과의 두 영상을 결합하여 해당시점의 정보를 획득한다. 이 경우 발생하는 비폐색 영역을 정의하고 이를 채우는 방법을 제안한다. 이 방법을 구현하여 실험한 결과 생성한 중간 시점의 깊이영상과 RGB영상의 평균 화질은 각각 33.83[dB]과 29.5[dB]이었으며, 평균 수행속도는 프레임 당 250[ms]이었다. 또한 이 방법을 이용하여 시청자와 인터랙티브하게 디지털 홀로그램을 서비스하는 시스템의 프로토타입을 제안한다. 이 시스템에는 좌, 우 시점의 영상정보를 획득, 카메라 캘리브래이션과 영상보정, 중간시점 영상생성, 컴퓨터-생성홀로그램(computer-generated hologram, CGH) 생성 및 홀로그램 영상복원기능을 포함한다. 이 시스템은 LabView(R) 환경에서 구현되며, CGH생성과 홀로그램 영상 복원은 GPGPU로, 나머지는 소프트웨어로 구현한다. 구현결과 평균 수행 속도는 초당 약 5 프레임을 처리할 수 있는 속도이었다.

• 복식문화연구
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• 제21권5호
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• pp.726-741
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• 2013

Malling culture, which refers to the enjoyment of shopping in multi-complex malls with shopping, cultural, and leisure facilities, has emerged as a major trend in society. However, few studies have researched malling culture in depth. This study classified people who go to multi-complex shopping malls as belonging to the baby-boom generation, X-generation, or Y-generation to investigate consumer culture in malls, with an emphasis on user satisfaction and entertainment experiences. Consumers who had shopped in a multi-complex shopping mall during the last 6 months were surveyed. Data were collected through a research company, and responses from 417 subjects were used in the analysis. Among the 417 subjects, 130 were baby-boomers, 136 were from the X-generation, and 151 were from the Y-generation. Investigating the components of multi-complex shopping malls that stimulate entertainment experiences, this study found that exploratory, emotional, and leisure experiences were enhanced when users were more satisfied with the image, atmosphere, and events of shopping malls. In addition, mall image and atmosphere contributed to the improvement of social experiences. With regard to generation, baby-boomers and subjects from the X-generation were generally more satisfied with mall atmosphere, image, and events and had more exploratory and leisure experiences. This study holds significance in that it examined malling culture from a wider perspective than simply the younger generation and presented scholarly and marketing implications based on insights into generational malling culture.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.780-791
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• 1996

A hybrid image processing system which automatically distinguished lean tissues in the image of a complex beef cut surface and generated the lean tissue contour has been developed. Because of the in homegeneous distribution and fuzzy pattern of fat and lean tissue on the beef cut, conventional image segmentation and contour generation algorithm suffer from a heavy computing requirement, algorithm complexity and poor robustness. The proposed system utilizes an artificial neural network enhance the robustness of processing. The system is composed of pre-network , network and post-network processing stages. At the pre-network stage, gray level images of beef cuts were segmented and resized to be adequate to the network input. Features such as fat and bone were enhanced and the enhanced input image was converted tot he grid pattern image, whose grid was formed as 4 X4 pixel size. at the network stage, the normalized gray value of each grid image was taken as the network input. Th pre-trained network generated the grid image output of the isolated lean tissue. A training scheme of the network and the separating performance were presented and analyzed. The developed hybrid system showed the feasibility of the human like robust object segmentation and contour generation for the complex , fuzzy and irregular image.