• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.249-251
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• 2012

Augmented Reality (AR) enables the enhanced realism and interaction by providing the overlaid digital information on the user's view of the physical world. In this paper, we propose an AR-based ship design visualization system for presenting ship 3D model in smart phones or table PCs. The proposed system compute corner points and feature points by contour finding method and harris corner detector, and build a ship-design drawing database. By using SURF algorithm, key feature points are extracted from ship-design drawing image which is obtained by mobile camera. Then ship-design drawing image is recognized by matching the feature points stored in DB and extracted key feature points. 3D ship structures are visualized by overlaying the ship-design drawing image on the smart phone or table PC's screen. Compared to conventional 2D ship-design, proposed system helps to easily understand the structures of the ship and reduce the business design period. Thus, Enhanced competitiveness of business is expected.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4968-4986
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• 2017

In this paper, we primarily address the difficulty of automatic generation of a plausible depth map from a single image in an unstructured environment. The aim is to extrapolate a depth map with a more correct, rich, and distinct depth order, which is both quantitatively accurate as well as visually pleasing. Our technique, which is fundamentally based on a preexisting DepthTransfer algorithm, transfers depth information at the level of superpixels. This occurs within a framework that replaces a pixel basis with one of instance-based learning. A vital superpixels feature enhancing matching precision is posterior incorporation of predictive semantic labels into the depth extraction procedure. Finally, a modified Cross Bilateral Filter is leveraged to augment the final depth field. For training and evaluation, experiments were conducted using the Make3D Range Image Dataset and vividly demonstrate that this depth estimation method outperforms state-of-the-art methods for the correlation coefficient metric, mean log10 error and root mean squared error, and achieves comparable performance for the average relative error metric in both efficacy and computational efficiency. This approach can be utilized to automatically convert 2D images into stereo for 3D visualization, producing anaglyph images that are visually superior in realism and simultaneously more immersive.

• Journal of IKEEE
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• v.23 no.4
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• pp.1366-1372
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• 2019

In this paper, we designed a revised neural network to remove the Monte Carlo Rendering noise contained in the ray tracing graphics. The Monte Carlo Rendering is the best way to enhance the graphic's realism, but because of the need to calculate more than thousands of light effects per pixel, rendering processing time has increased rapidly, causing a major problem with real-time processing. To improve this problem, the number of light used in pixels is reduced, where rendering noise occurs and various studies have been conducted to eliminate this noise. In this paper, a deep learning is used to remove rendering noise, especially by separating the rendering image into diffuse and specular light, so that the structure of the dual neural network is designed. As a result, the dual neural network improved by an average of 0.58 db for 64 test images based on PSNR, and 99.22% less light compared to reference image, enabling real-time race-tracing rendering.

• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1318-1330
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• 2010

The 21st century is the age when a sensational image has more explanatory power and can deliver a more powerful message than a message consisting of logical thinking. Powerful visual images create a big impact on many people throughout the world, overcoming linguistic barriers and even replacing language as a means of communication. In the fashion field, the concept and power of visual images within the new multimedia of the 21st century are becoming increasingly important. In recent years, other than the above methods, videos, movies and animation features have been produced directly to enhance visual effects and attempts are increasing to use these new tools as communication methods. This study focuses on animation contents that have been used in the fashion industry to overcome prejudice of luxury international brands that feature images that emphasize value, quality and heritage. The purpose of this study is to focus on the specific character of fashion animation in order to overview the concept of 21st video fashion communication and to show how the collection concept that includes color and detail places an emphasis on visual images. Analysis of previous research, theoretical research through literature and case study on Prada fashion animation led to the following conclusion. The common features of two different Prada fashion animation show that both animation have the following features in common : realism, dramatic impact and convergence for expression methods, and creativeness, hybrid and a happy ending for contents. Beginning with this study, I believe that various angles of interest and concern about communication in the fashion world, which is a social and cultural phenomenon that changes rapidly, can be will be looked at and learned from.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.5
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• pp.245-256
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• 2002

Shadows are important elements in producing a realistic image. Generation of exact shapes and positions of shadows is essential in rendering since it provides users with visual cues on the scene. It is also very important to be able to create soft shadows resulted from area light sources since they increase the visual realism drastically. In spite of their importance. the existing shadow generation algorithms still have some problems in producing realistic shadows in real-time. While image-based rendering techniques can often be effective1y applied to real-time shadow generation, such techniques usually demand so large memory space for storing preprocessed shadow maps. An effective compression method can help in reducing memory requirement, only at the additional decoding costs. In this paper, we propose a new image-barred shadow generation method based on image warping. With this method, it is possible to generate realistic shadows using only small sizes of pre-generated shadow maps, and is easy to extend to soft shadow generation. Our method will be efficiently used for generating realistic scenes in many real-time applications such as 3D games and virtual reality systems.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.85-97
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• 2019

In this study, we developed the Field-Experiential Learning Framework Using the Location Based Mobil-learning System (LBMS) and it is mobile Augmented Reality (AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. LBMS-AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. We analysed the result of survey and implemented the functions. Also, for survey about application's effectiveness, we have focus group interview (FGI). Then we demonstrated and explained the application to them. The result of survey about application's effectiveness shows that application have higher utilization in education area. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It's a good way for improving concentration and attention. We utilize only a beacone for image-based AR without other sensor.

• Journal of Fashion Business
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• v.7 no.1
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• pp.135-151
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• 2003

This study was carried out in order to become that it helped a base of education to train creation of movie costume. The object is the movie costume of the movie, The Age of Innocence that got the Academy award in movie costume. This study analyzed the costume and color symbolism of the film based on the novel, The Age of Innocence written by Edith Wharton who is a realism writer, and a master of manners and customs novel, is the first Pulitzer Prizewinner as a woman. And this study created the movie costume and hair-style of two heroines, May and Ellen who lead the huge irony that is principal stream of a novel. May stands for 'irony of innocence' and Ellen does for 'absolute innocence'. And each image represents on a display of the front and back of 'innocence' symbolically. The costume design of them was planned along the character which was analyzed and interpreted irony of a drama in a viewpoint of Wharton through this study and expressed with illustration. And using 57cm Porcelain doll, produced a hair-style and costume.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.243-251
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• 2010

In this paper, 2 devices through the input image are projected onto the output video device to extract 3D information of real objects and they are located in virtual space. All 3D objects for each inter-object interaction information and location information makes the validation process by recognizing conflict. The proposed extract 3D information of real objects and collision handling inter-object interaction in the most basic issues in augmented reality, because more than anything is a matter to be prescriptive. Therefore, the proposed system to solve this problem exists in virtual space, all objects of the user by validating the conflict between realism and immersion to show that aims to increase.

• Convergence Security Journal
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• v.11 no.6
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• pp.17-23
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• 2011

In this paper, we propose mobile Augmented Reality(AR) for smart learning system which is advanced e-learning. AR is technology that seamlessly overlays computer graphics on the real world. AR has become widely available because of mobile AR. Mobile AR is possible to get information from real world anytime, anywhere. Nowadays, there are various areas using AR such as entertainment, marketing, location-based AR. One of the most promising areas is education. AR in education shows lifelike images to users for realism. It's a good way for improving concentration and attention. We utilize only a camera for image-based AR without other sensor.

• Journal of Korea Game Society
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• v.8 no.2
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• pp.57-68
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• 2008

Texture Mapping is a technique for adding realism to an image in 3D graphics Chip. Bilinear filtering mode of this technique needs accesses of 4 texels to process one pixel. In this paper we analyzed the access pattern of texture, and proposed the high performance texture cache which can access 4 texels simultaneously. We evaluated using simulation results of 3D game(Quake 3, Unreal Tournament 2004). Simulation results show that proposed texture cache has high performance on the case where physical size is less then or equal 8KBytes.