• ETRI Journal
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• v.35 no.6
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• pp.949-959
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• 2013

Since the recent launch of Microsoft Xbox Kinect, research on 3D human pose estimation has attracted a lot of attention in the computer vision community. Kinect shows impressive estimation accuracy and real-time performance on massive graphics processing unit hardware. In this paper, we focus on further reducing the computation complexity of the existing state-of-the-art method to make the real-time 3D human pose estimation functionality applicable to devices with lower computing power. As a result, we propose two simple approaches to speed up the random-forest-based human pose estimation method. In the original algorithm, the random forest classifier is applied to all pixels of the segmented human depth image. We first use a multi-scale approach to reduce the number of such calculations. Second, the complexity of the random forest classification itself is decreased by the proposed cascade approach. Experiment results for real data show that our method is effective and works in real time (30 fps) without any parallelization efforts.

• Proceedings of the KIEE Conference
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• summer
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• pp.126-128
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• 2004

In these days, our social infra which are computer and internet has been developed and our community has been digitalized with a large quantity information that can be sharable or productive. So we can say that older knowledge organization based on the man power is changing with automatical and intellectual aspect. Thus we have to apply this movement to get the high efficiency and the competitive power in the organization and to take the voluntaries attitude of operator with real time inputting or fast calculating speed. Beside most of developed countries are owned their power system analysis software. Like kind of this facts can affect for national reliance. So in this paper we propose that the suggestion for both field power system and IT how these can be cooperated. The note that this paper is came from the project which name is Graphics Power Flow analysis.

• Journal of International Society for Simulation Surgery
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• v.2 no.2
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• pp.47-51
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• 2015

Faces play a key role in revealing the personalized attributes such as the identity, emotion, health condition, etc. Due to the importance of faces, computer-assisted face modeling and reconstruction have been actively studied both in computer vision and graphics community. Especially, face reconstruction and realistic face synthesis are well-grounded research problems and various approaches have been proposed during the last decade. In this paper, we discuss a wide range of existing work in face modeling by introducing their target applications, categorizing them upon their methodology and addressing their strength and weakness on performance. Finally, we introduce remaining research issues and suggest the future research direction in face modeling. We believe that this paper provides a high-level overview on face modeling techniques and helps understand the major research issues and the trends of methodology.

• Journal of the Korea Computer Graphics Society
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• v.14 no.4
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• pp.7-18
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• 2008

To realistically produce fluids such as smoke for the visual effects in the films or animations, we need two main processes: a physics-based modeling of smoke and a rendering of smoke simulation data, based on light transport theory. In the computer graphics community, the physics-based fluids simulation is generally adopted for smoke modeling. Recently, the interest of the particle-based Lagrangian simulation methods is increasing due to the advantages at simulation time, instead of the grid-based Eulerian simulation methods which was widely used. As a result, because the smoke rendering technique depends heavily on the modeling method, the research for rendering of the particle-based smoke data still remains challenging while the research for rendering of the grid-based smoke data is actively in progress. This paper focuses on realistic rendering technique for the smoke particles produced by Lagrangian simulation method. This paper introduces a technique which is called particle map, that is the expansion and modification of photon mapping technique for the particle data. And then, this paper suggests the novel particle map technique and shows the differences and improvements, compared to previous work. In addition, this paper presents irradiance map technique which is the pre-calculation of the multiple scattering term in the volume rendering equation to enhance efficiency at rendering time.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.503-512
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• 2002

Purpose: This study was conducted to develop educational materials for preventing type B viral hepatitis infection. Prior to this study, a survey had been conducted to define the educational needs of persons with hepatitis B antigen. Method: Based on the results of the former study and a review of the literature, the content of the educational materials was confined to the transmission cycle and its prevention in type B hepatitis. A professional team that consisted of writers and producers videotaped the lectures provided by professors and instructors in a nursing school. A professional graphic designer produced the leaflet to enhance the visual effects. Results: The contents of the educational materials for type B hepatitis were composed of six parts: (1) the prevalence rate (or morbidity) of type B hepatitis antigen positive and its recent trend, (2) transformation of hepatitis. (3) transmission cycle of hepatitis infection, (4) persons who are susceptible to hepatitis and need a vaccination, (5) preventive approach hepatitis vaccination and the guideline for patients' daily lives for preventing infection and (6) questions and answers. The materials were delivered in the form of lectures, visual charts, graphics, and multi-media. Conclusion: The educational materials developed in this study may provide practical information and knowledge on strategies to prevent type B hepatitis. The educational materials may be utilized in primary health care centers or school health services.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.123-130
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• 2018

Triangulation is one of the fundamental problems in computational geometry and computer graphics community, and it has huge application areas such as 3D printing, computer-aided engineering, surface reconstruction, surface visualization, and so on. The Delaunay refinement algorithm is a well-known method to generate quality triangular meshes when point cloud and/or constrained edges are given in two- or three-dimensional space. In this paper, we propose a simple but efficient algorithm to triangulate Voronoi surfaces of Voronoi diagram of spheres in 3-dimensional Euclidean space. The proposed algorithm is based on the Ruppert's Delaunay refinement algorithm, and we modified the algorithm to be applied to the triangulation of Voronoi surfaces in two ways. First, a new method to deciding the location of a newly added vertex on the surface in 3-dimensional space is proposed. Second, a new efficient but effective way of estimating approximation error between Voronoi surface and triangulation. Because the proposed algorithm generates a triangular mesh for Voronoi surfaces with guaranteed quality, users can control the level of quality of the resulting triangulation that their application problems require. We have implemented and tested the proposed algorithm for random non-intersecting spheres, and the experimental result shows the proposed algorithm produces quality triangulations on Voronoi surfaces satisfying the quality criterion.

• Journal of Distribution Research
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• v.7 no.1
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• pp.105-127
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• 2002

This paper presents an analysis of how the business models of organizations are getting transformed in the Marketspace created by the Internet. We use a research model comprising the transformation scores of four Ps(Product, Price, Promotion, and Place) as dependent variables and three dimensions, Demographics, Technology, and Community elements on the Websites, as explaining variables about the Cyber Transformation of the 4Ps. While most existing literatures have focused on Website's technology, our research model includes 22 five-point-scale items; 10 Demographics /Technology items and 12 Community items. To measure the 4P's transformation scores, the authors selected 14 workable items from the Marketspace Model by Dutta, Kwan, & Segev(1997). A sample of 123 shopping mall Websites comprising three categories(grocery, jewelry/accessory, and cosmetics) from the 100hot.co.kr list are evaluated and the data is analyzed by SPSSWIN 8.0 version. The result shows that there are five significant factors, Technology, Interaction, Connectedness, Business Features, and Domain, while the average transformation scores of 4Ps are at very low level. The factor scores are used in regression analysis for each P. Two factors, Technology and Interaction are influencing all four Ps; Connectedness is influencing only two, Product and Place. Organizations must not simply take their existing business models. They have to adopt the Technology items(navigation, logo, e-mail, guide, graphics) and to facilitate the Interaction items(consulting, number/quality of bulletin boards, participation, offline events) and Connectedness(club activation, contents, partner/site link, entertainment contents) in order to get transformed in the Marketspace successfully in the near future.

• Journal of Internet Computing and Services
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• v.10 no.4
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• pp.1-11
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• 2009

Recently there has arisen concern in both the database community and the graphics society about data retrieval from large motion databases because the high dimensionality of motion data implies high costs. In this circumstance, finding an effective distance measure and an efficient query processing method for such data is a challenging problem. This paper presents an elaborate motion query processing system, SMoFinder (Similar Motion Finder), which incorporates a novel kinematic distance measure and an efficient indexing strategy via adaptive frame segmentation. To this end, we regard human motions as multi-linkage kinematics and propose the weighted Minkowski distance metric. For efficient indexing, we devise a new adaptive segmentation method that chooses representative frames among similar frames and stores chosen frames instead of all frames. For efficient search, we propose a new search method that processes k-nearest neighbors queries over only representative frames. Our experimental results show that the size of motion databases is reduced greatly (${\times}1/25$) but the search capability of SMoFinder is equal to or superior to that of other systems.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.7
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• pp.149-154
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• 2014

Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2005.10a
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• pp.193-196
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• 2005

The value of all goods and services produced in the economy divided by population has risen from $7.355 in 1998 to $12.646 in 2003. In other to maintain higher standard of lifestyle, people are 'hungry' for time. The idea of saving time and money by providing many different types of products altogether in one space was implemented with the advent of large warehouse style discount stores. These type of retailers grew in size and popularity during the 1990s and 2000s, causing a decline in sales in the old, traditional downtown markets. From ancient to twenty-first century, the role of the grocery store has been that of the social center of the community; a place of unity and interaction of people. The experience a customer engages in at a grocery store is comparable to that of a museum. Not only is the grocery store a unique, physical space to visit, but also a rich collection of fascination items. The layout of the interior space is meticulously planned for the efficiency of customer circulation and the success of product exhibition. Eye catching graphics and attractive lighting also add to the appeal of the grocery store's high style. Shoppers are no longer satisfied with just buying good products at a lower price. Shoppers prefer to spend time in an entertaining environment. The Hanaro Mart project in this study propose the idea of warehouse style discount stores which can satisfy all the demands of customers and their various activities. This study will open up unique dimensions of aesthetic expression and experience in the interior environments. Shopping for food is an unavoidable task. If food shopping is enjoyable, more people will spend more time at it.