• Journal of the Korea Convergence Society
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• v.9 no.6
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• pp.45-52
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• 2018

In this paper, we propose a linear interpolation method based on patch information generated from a low - resolution image for generating a super resolution image in a single image. Using the regression model of the global space, which is a conventional super resolution generation method, results in poor quality in general because of lack of information to be referred to a specific region. In order to compensate for these results, we propose a method to extract meaningful information by dividing the region into patches in the process of super resolution image generation, analyze the constituents of the image matrix region extended for super resolution image generation, We propose a method of linear interpolation based on optimal patch information that is searched by correlating patch information based on the information gathered before the interpolation process. For the experiment, the original image was compared with the reconstructed image with PSNR and SSIM.

• Journal of the Korean Society of Costume
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• v.65 no.8
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• pp.50-63
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• 2015

The purpose of this study is to explore the potential of digital graffiti as a new creative tool in fashion through analysis of its expressive features and methods merged in fashion. The results from the analysis of fashion cases using digital graffiti may be summarized as follows. First, 'Mixing of Materials and Non-materials' matched immaterial lights and images with physical clothing materials and space, effectively expressing imaginary spheres that were not expressible with the existing materials. Second, 'Fantastic Storytelling' expressed theme such as 'Sun', 'UFO', 'Science Fiction Film', 'Fantasy Fairy Tale', and 'Universe' through lasers, lights, augmented reality and LED graffiti. Third, 'Convergence with Human and Digital Media' accentuated the active participation of spectators thereby causing human and digital media to interact with each other. Designer's ideas and unexpected responses of spectators realized various digital graffiti effects, which came across by sheer chance. Fourth, 'Utilizing of Site-Specificity' met with the best results when the digital graffiti was expressed in context of a place or location where fashion performance is taking place. Fifth, ' Playfulness by Consumer Participation' intended to induce voluntary participation from consumers by providing the fashion digital graffiti as play tools, and created new fashion digital graffiti or altered existing stereotypes, thereby invoking new visual and tactile experiences. Likewise, today's digital graffiti are emerging in various fields, and the trend of fashion-digital graffiti integration has already created interesting works.

• Journal of Korean Ophthalmic Optics Society
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• v.15 no.2
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• pp.131-136
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• 2010

Purpose: Evaluating the possibility of Korean traditional folk paintings in the development of eyewear accessories. Methods: Esthetic values with vivid colour and layout of Korean traditional folk painting was evaluated. Reevaluation of those values was applied into eyeglass cleaners and eyeglass case with modernized fashion. Those accessories had an advantage of suitable space to represent visually images of the paintings. Results: Currently, Korean traditional folk paintings receives attention as an international cultural contents. Therefore, it would be possible to enhance cultural consumption of the product whose image was changed with cultural image of the paintings. Conclusions: Utilization of esthetic values into eyeglass makes a positive effects of eyewear accessories, which can be resulted in an expanding international market of eyewear accessories.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.4
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• pp.145-154
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• 2008

In this paper, we propose the pet robot control system using hand gesture recognition in image sequences acquired from a camera affixed to the pet robot. The proposed system consists of 4 steps; hand detection, feature extraction, gesture recognition and robot control. The hand region is first detected from the input images using the skin color model in HSI color space and connected component analysis. Next, the hand shape and motion features from the image sequences are extracted. Then we consider the hand shape for classification of meaning gestures. Thereafter the hand gesture is recognized by using HMMs (hidden markov models) which have the input as the quantized symbol sequence by the hand motion. Finally the pet robot is controlled by a order corresponding to the recognized hand gesture. We defined four commands of sit down, stand up, lie flat and shake hands for control of pet robot. And we show that user is able to control of pet robot through proposed system in the experiment.

• Korean Journal of Computational Design and Engineering
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• v.13 no.6
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• pp.403-411
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• 2008

The alignment of facial images is crucial for 2D face recognition. This is the same to facial meshes for 3D face recognition. Most of the 3D face recognition methods refer to 3D alignment but do not describe their approaches in details. In this paper, we focus on describing an automatic 3D alignment in viewpoint of quantitative analysis. This paper presents a framework of 3D face alignment and normalization based on feature points obtained by Active Shape Models (ASMs). The positions of eyes and mouth can give possibility of aligning the 3D face exactly in three-dimension space. The rotational transform on each axis is defined with respect to the reference position. In aligning process, the rotational transform converts an input 3D faces with large pose variations to the reference frontal view. The part of face is flopped from the aligned face using the sphere region centered at the nose tip of 3D face. The cropped face is shifted and brought into the frame with specified size for normalizing. Subsequently, the interpolation is carried to the face for sampling at equal interval and filling holes. The color interpolation is also carried at the same interval. The outputs are normalized 2D and 3D face which can be used for face recognition. Finally, we carry two sets of experiments to measure aligning errors and evaluate the performance of suggested process.

• The Research Journal of the Costume Culture
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• v.26 no.5
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• pp.700-713
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• 2018

The purpose of this study is to analyze the characteristics and symbolism of peony, the traditional noble flower, create knit fashion designer applying the aesthetic beauty of flower, and suggest the various possibility of developing knit fashion design. As for the study method, the study conducted review on literature and previous studies to investigate on history, characteristics, symbolism of peony, and examined various expressive technique through previous studies about fashion design using flower images. To express characteristics of peony in three dimensions, the study investigated and reflected on crochet expressive technique to design 4 women's knitwear. The results are as below. First, as shape of peony is big, voluminous, fancy and noble, it symbolizes wealth and beauty. Including red which is the generally known color of peony, there are yellow, white, pink, purple, green, blue, black, gray, white purple, white color. This study reflected characteristics and symbolism of peony and created knit fashion design applying abundant aesthetic characteristics of flower. Second, crochet method is advantageous as it is operable with thread and hooked crochet hook without time and space restriction, it can create unique fashion design. Crochet knitting on hand knit can diversity changes to express relief textures, and as there is no limit in size, it can be applied to small props to big pieces. This study suggested the various possibility of knit fashion design development and various expressive possibility on modern fashion design.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.1 s.307
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• pp.27-34
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• 2006

In this paper, we propose a combined region-based image retrieval system using EHD(Edge Histogram Descriptor) and CLD(Color Layout Descriptor) of MPEG-7 descriptors. The combined descriptor can efficiently describe edge and color features in terms of sub-image regions. That is, the basic unit for the selection of the region-of-interest (ROI) in the image is the sub-image block of the EHD, which corresponds to 16 (i.e., $4{\times}4)$ non-overlapping image blocks in the image space. This implies that, to have a one-to-one region correspondence between ELE and CLD, we need to take an $8{\times}8$ inverse DCT (IDCT) for the CLD. Experimental results show that the proposed retrieval scheme can be used for image retrieval with the ROI based image retrieval for MPEG-7 indexed images.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.31-40
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• 2003

Most face recognition systems are based on 2D images and applied in many applications. However, it is difficult to recognize a face when the pose varies severely. Therefore, head pose estimation is an inevitable procedure to improve recognition rate when a face is not frontal. In this paper, we propose a novel head pose estimation algorithm for 3D face recognition. Given the 3D range image of an unknown face as an input, we automatically extract facial feature points based on the face curvature. We propose an Error Compensated Singular Value Decomposition (EC-SVD) method based on the extracted facial feature points. We obtain the initial rotation angle based on the SVD method, and perform a refinement procedure to compensate for remained errors. The proposed algorithm is performed by exploiting the extracted facial features in the normaized 3D face space. In addition, we propose a 3D nearest neighbor classifier in order to select face candidates for 3D face recognition. From simulation results, we proved the efficiency and validity of the proposed algorithm.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.6
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• pp.137-146
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• 1998

Recently many devices print electronic images in a variety of ways. The reproduced color, however, is different from the original color because of the difference of hardware characteristics. To maintain device independent color, gamut mapping method is proposed. The proposed color gamut mapping uses nonlinear intensity mapping and clipping for saturation mapping on HSI color space. In the dithering operation, expanded nonlinear ordered dithering and modified error diffusion are proposed. The proposed ordered dithering uses expanded nonlinear quantization which considers overlapping phenomena of neighbored printing dots. In the modified error diffusion, quantization errors to be diffused are adjusted to improve both image blur and color change produced in the error diffusion. So, the printed image is similar to the image of monitor. Our results indicate that proposed algorithm can produce high quality image in the low bit color devices.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.8
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• pp.47-54
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• 1998

With the increasing popularity of the use of large-volume image database in various application, it becomes imperative to build an efficient and fast retrieval system to browse through the entire database. We present a new method for a content-based image retrieval by using a variable block size and block matching algorithm. Proposed approach is reflecting image features that exploit visual cues such as color and space allocation of image and is getting the fast retrieval time by automatical convergence of retrieval times which adapt to wanting similarity value. We have implemented this technique and tested it for a database of approximately 150 images. The test shows that a 1.9 times fast retrieval time compare to J & V algorithm at the image retrieval efficiency 0.65 and that a 1.83 times fast retrieval time compare to predefined fixed block size.