• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1140-1145
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• 2003

Image normalization is one of the important areas in pattern recognition. Also, log-polar images are useful in the sense that their image data size is reduced dramatically comparing with conventional images and it is possible to develop faster pattern recognition algorithms. Especially, the log-polar image is very similar with the structure of human eyes. However, there are almost no researches on pattern recognition using the log-polar images while a number of researches on visual tracking have been executed. We propose an image normalization technique of log-polar images using momentums applicable for affine-invariant pattern recognition. We handle basic distortions of an image including translation, rotation, scaling, and skew of a log-polar image. The algorithm is experimented in a PC-based real-time vision system successfully.

• 한국의상디자인학회지
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• 제23권1호
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• pp.47-59
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• 2021

This study aims to provide inspiration and methods for menswear design by analyzing elements for men's fashion using flower images. The results are as follows: Men's fashion types with flower images were categorized as classic tailored, casual tailored, casual wear, sports-outdoor. The order of frquency was casual tailored, casual, classic tailored, and sports outdoor. For the classic tailored type, the flower images are related with an X-line silhouette, and the arrangement methods, such as a scattered patterns, one-point patterns, and surface techniques, such as printing and embroidery were used, and similar color or monochromatic schemes appeared sequentially. For the casual tailored type, the flower images are related to an H-line silhouette, arrangement methods such as a scattered pattern, panel pattern, and surface techniques, such as print, embroidery, and jacquard were used, similar color and accent color schemes appeared sequentially. For the casual type, the flower images are related to H-line and Y-line silhouettes, and arrangement methods, such as a scattered pattern, all-round continuous pattern, and panel pattern, and surface techniques, such as print, jacquard, embroidery, and patchwork were used, similar color and contrast color schemes appeared sequentially. For the sports outdoor type, the flower image were related to A-line and H-line silhouettes, arrangement methods, such as a scattered pattern and all-round continuous pattern, and surface techniques, such as print and jacquard were used, monochromatic scheme and contrast color schemes appeared sequentially. Therefore, the flower images in men's fashion were applied to various design elements, and displayed an interesting result, different from conventional design approach.

• 복식문화연구
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• 제24권1호
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• pp.27-40
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• 2016

This study investigated the preference of sensibility expression factors regarding fashion materials, such as the color, pattern and texture of fabric. Moreover, this study analyzed the relationship between the preference of sensibility expression factors and the preference of fashion images by identifying the preference of fashion images. The survey subjects were 312 women ranging in age from 20 to 40 years old. This study utilized a questionnaire as a measurement tool. First, this study performed a factorial analysis on the preference of sensibility expression factors of fashion materials. In regards to color preference, this study considered color depth such as light tone color, moderate tone color, dark tone color and vivid tone color. In regards to pattern preference, this study examined: geometric pattern, floral pattern, animal skins pattern, check pattern and symbolical pattern. In regard to preference of the texture, this study assessed: roughness, luster, flatness and lightness. Second, this study performed a factorial analysis on the preference of fashion images. This study examined five factors: dignity, uniqueness, femininity, activity and simplicity. Third, this study analyzed the effects of the preference of sensibility expression factors of fashion materials on the preference of fashion images. As a result, the color preference was related to the image preference associated with dignity, femininity and simplicity, whereas the pattern preference was related to the images of uniqueness, femininity, activity and simplicity. Moreover, the preference of texture image was related to the images of dignity, uniqueness, femininity and activity.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.131-139
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• 2016

Recognition of human motions has become a main area of computer vision due to its potential human-computer interface (HCI) and surveillance. Among those existing recognition techniques for human motions, head detection and tracking is basis for all human motion recognitions. Various approaches have been tried to detect and trace the position of human head in two-dimensional (2D) images precisely. However, it is still a challenging problem because the human appearance is too changeable by pose, and images are affected by illumination change. To enhance the performance of head detection and tracking, the real-time three-dimensional (3D) data acquisition sensors such as time-of-flight and Kinect depth sensor are recently used. In this paper, we propose an effective feature extraction method, called adaptive local binary pattern (ALBP), for depth image based applications. Contrasting to well-known conventional local binary pattern (LBP), the proposed ALBP cannot only extract shape information without texture in depth images, but also is invariant distance change in range images. We apply the proposed ALBP for head detection and tracking in depth images to show its effectiveness and its usefulness.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2005년도 춘계학술발표대회
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• pp.521-524
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• 2005

This paper proposes a fusion algorithm which merges multiple vein pattern images into a single image, larger than those images. As a preprocessing step of template matching, during the verification of biometric data such as fingerprint image, vein pattern image of hand, etc., the fusion technique is used to make reference image larger than the candidate images in order to enhance the matching performance. In this paper, a new algorithm, called BSA (Boundary Stitching Algorithm) is proposed, in which the boundary rectilinear parts extracted from the candidate images are stitched to the reference image in order to enlarge its matching space. By applying BSA to practical vein pattern verification system, its verification rate was increased by about 10%.

• 한국의상디자인학회지
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• 제17권4호
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• pp.91-100
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• 2015

The purpose of this study is to analyze the style of check dresses shown in collections from 2011 to 2014 and to extract main expressional words for the development of semantic differential scales of visual images according to the change in silhouette of block check dresses. The results of this study are as follows: 1) 120 check dresses shown in collections were composed of 57 straight silhouette dresses, 38 fitted silhouette dresses, 23 hourglass silhouette dresses, 1 barrel silhouette dress, and 1 atypical silhouette dress. And check pattern mostly used in the current collections a square pattern of block check, tartan check that is a Scotch traditional lattice pattern, a small lattice pattern of gingham check, over check that other check patterns are arranged on check pattern, star-shaped hound tooth check, glen check mixing small pattern and big pattern. The visual image for check dress differs according to changes in the check pattern and silhouette of the dress. 2) Main expressional words of visual images for block check dresses differ greatly depending on the silhouette of dresses. The visual images are ranked in the order of 'graphic', 'simple', 'hard', 'modern' for straight silhouette of block check dresses. The words of 'lively', 'girlish', 'feminine', 'cute' are ranked for hourglass silhouette of block check dresses. And the words of 'confident', 'feminine', 'modern' are marked down for fitted silhouette of block check dresses.

• 한국생활과학회지
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• 제22권4호
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• pp.651-665
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• 2013

The purpose of this research was to investigate preference and clothing images for T-shirts utilizing Hyojemunja Textile Pattern. The results of this study showed that the secondary students who participate in the study had low interest in Folk-painting and that the female students were more willing to buy T-shirts utilizing The Hyojemunja Textile Pattern than the others. Secondary students preferred letters-pattern to other ones of T-shirts and they opted for the patterns with black curve scripts and the patterns located in upper parts of T-shirts. However, the participants considered straight scripts more sophisticated, unique and feminine than curve scripts and therefore, this awareness helped them become more interested in Hyojemunja Textile Pattern. The findings of the study may suggest T-shirts utilizing Hyojemunja Textile Pattern can give those who have a low interest in Folk-painting increased chances to learn Folk-painting in secondary education.

• 한국정밀공학회지
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• 제21권7호
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• pp.83-91
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• 2004

The determination of camera position and orientation from known correspondences of 3D reference points and their images is known as pose estimation in computer vision or space resection in photogrammetry. This paper discusses estimation of transform parameters using the pattern matching method with 2D images only. In general, the 3D reference points or lines are needed to find out the 3D transform parameters, but this method is applied without the 3D reference points or lines. It uses only two images to find out the transform parameters between two image. The algorithm is simulated using Visual C＋＋ on Windows 98.

• 한국정밀공학회지
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• 제23권3호
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• pp.102-109
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• 2006

Several methods for PCB pattern inspection have been tried to detect fine detects in pad contours, but their low detection accuracy results from pattern variations originating from etching, printing and handling processes. The adaptive inspection algorithm has been newly proposed to extract minute defects based on movable segments. With gerber master images of PCB, vertex extractions of a pad boundary are made and then a lot of segments are constructed in master data. The pad boundary is composed of segment units. The proposed method moves these segments to optimal directions of a pad boundary and so adaptively matches segments to pad contours of inspected images, irrespectively of various pattern variations. It makes a fast, accurate and reliable inspection of PCB patterns. Its performances are also evaluated with several images.

• 디지털콘텐츠학회 논문지
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• 제17권3호
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• pp.197-202
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• 2016

이 논문에서는 비정형 의료이미지 정형화 및 패턴 추출을 위해, 의료기기 또는 의료전문가로부터 생성 또는 감지되는 의료이미지 저장을 위한 데이터베이스 구축한다. 이러한 비정형 이미지의 특징을 정형화된 디지털 데이터로 변환한 후 정형화된 디지털 이미지 데이터로부터 의미있는 패턴 정보를 생성한다. 이러한 경험 기술 소개를 통해 많은 연구자들은 의료이미지 데이터베이스를 보다 쉽게 접근할 수 있고 다양한 분야에서 정형화된 의료이미지를 활용할 수 있다.