• Proceedings of the Korea Society for Simulation Conference
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• 1997.04a
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• pp.86-89
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• 1997

This paper presents an algorithm for visualizing the traffic condition. The load of each road is updated using the incoming data collected by the devices placed at specific road crossings and junctions. The data includes the road occupancy, average speed, and vehicle types. They are analyzed to produce the 3D animation sequence of the traffic in real-time. This visualization maximizes the value of the collected data by aiding the end-users to grasp the current road situation intuitively. The traffic of a particular lane are based on the actual number of vehicles of that type passed during the last 5 minutes. This system was used in the Ministry of Construction and Public Transportation to visualize the Korean roads during the holidays around the lunar new year of 1997.

• Cartoon and Animation Studies
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• s.36
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• pp.167-187
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• 2014

Animation-related films and game industries have been expanding their markets rapidly responding to sharply increasing public demand. The production processes of major studios are getting more and more specialized and detailed. Therefore, they feel burden to manage and maintain as the HR and physical sizes are getting greater. So, independent studios which perform partial processes of the works are increasing over North America and Europe. Specialized studios build previous functions and related business models. They are expanding their areas. Therefore, this study targeted studios specialized in digital concept art in free production step. The characteristics of such studios were analyzed. To this end, first definitions of digital concept art concepts and functional & artistic features of entire production, and their application to business were deliberated through documents and online. Based on the results, the features of 'concept art service', 'self-brand business/ communication', and 'education service' were drawn. Second, based on it, targeting three con cept art studios such as Atomhawk (UK), FengZhu Design (Singapore), and Studio Gage (Korea), case research was done. Comparative analysis for the cases was conducted. It turned out that concept art studio s lead new market demand through active business strategies such as related contents development, marketing, etc. based on specialization. This research is significant to understand global trend of newly establishing specialized studios market and suggest reference data to improve prospective domestic specialized studios competitiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.9
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• pp.4624-4644
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• 2019

With the development of films, games and animation industry, analysis and reuse of human motion capture data become more and more important. Human motion segmentation, which divides a long motion sequence into different types of fragments, is a key part of mocap-based techniques. However, most of the segmentation methods only take into account low-level physical information (motion characteristics) or high-level data information (statistical characteristics) of motion data. They cannot use the data information fully. In this paper, we propose an unsupervised framework using both low-level physical information and high-level data information of human motion data to solve the human segmentation problem. First, we introduce the algorithm of CFSFDP and optimize it to carry out initial segmentation and obtain a good result quickly. Second, we use the ACA method to perform optimized segmentation for improving the result of segmentation. The experiments demonstrate that our framework has an excellent performance.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.519-532
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• 2021

Recently, in various fields such as games, movies, and animation, content that uses motion capture to build body models and create characters to express in 3D space is increasing. Studies are underway to generate animations using RGB-D cameras to compensate for problems such as the cost of cinematography in how to place joints by attaching markers, but the problem of pose estimation accuracy or equipment cost still exists. Therefore, in this paper, we propose a system that inputs RGB images into a joint estimation network and converts the results into 3D data to create FBX format animations in order to reduce the equipment cost required for animation creation and increase joint estimation accuracy. First, the two-dimensional joint is estimated for the RGB image, and the three-dimensional coordinates of the joint are estimated using this value. The result is converted to a quaternion, rotated, and an animation in FBX format is created. To measure the accuracy of the proposed method, the system operation was verified by comparing the error between the animation generated based on the 3D position of the marker by attaching a marker to the body and the animation generated by the proposed system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.127-134
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• 2018

In this paper, we have developed the Auto Lip-Sync Maya plug-in for extracting Korean phonemes from voice data and text information based on Korean and produce high quality 3D lip-sync animation using divided phonemes. In the developed system, phoneme separation was classified into 8 vowels and 13 consonants used in Korean, referring to 49 phonemes provided by Microsoft Speech API engine SAPI. In addition, the pronunciation of vowels and consonants has variety Mouth Shapes, but the same Viseme can be applied to some identical ones. Based on this, we have developed Auto Lip-sync Maya Plug-in based on Python to enable lip-sync animation to be implemented automatically at once.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.84-93
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• 2008

Since 2005, the production of feature 3D animation has been growing up worldwide and technology of hardware and software has been advanced fully enough to get over the limitation of visual expression, so that rendering weight of the whole work process is getting more important. A final file in the state right before rendering increases. the data size gets bigger. Therefore, if such final file is rendered as it is, the production schedule may not be met. For, some needless time shall be spent to call and save a high-capacity file in amendment work and to execute the rendering entirely again in addition to amendment. In this study, Maya API [1]was used to study the efficient information amendment method of extracting the rendering layers' files in order to develop a tool that executes rendering by applying such method. As the result, compliance to production schedule that is important in animation production can be done through the independent rendering tool based layer rendering that can maximize the efficiency of amendment work.

• Journal of the Korea Computer Graphics Society
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• v.16 no.3
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• pp.21-30
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• 2010

We present a real-time simulation method for muscles which are actuated by skeletal structure based on anatomical properties of the muscles. Muscles are designed by their two endpoints attached to either bones or other muscles and their volume are preserved approximately during the deformation. Skin deformation animation is obtained by a simple skinning due to the muscle deformation. We present also the performance data for a human-like multi-linked character which has bones, muscles, and skin. According to our experimental result, we can get skin deformation animation with a few tens of muscles in real-time. The method proposed in this paper can be applied to obtain skin deformation animation for multi-linked characters appear frequently in real-time environments such as games.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.63-70
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• 2020

In this paper, we propose a globally successful animation rhythm type. Based on the study of spatial variables in Campbell's heroic narrative and the study on the duration of shots in the video, the rhythm of the shot according to the spatial narrative of was analyzed. Through this, three conclusions were drawn. First, the basis for the visualization of narrative intensity is possible through the shot density of narrative, Second, a shot rhythm type was presented, which was presented as an ascending type, a descending type, a mountain type, a depressed type, and a complex type, and the characteristics of the narrative were analyzed. Third, the strength of the shot rhythm shown in the hero narrative spatial map model was divided into top, middle, and bottom, and the measurement criteria of narrative strength were presented. This study is meaningful in that it visualized and typified artistic emotions as objective data in the flow of animation content focused on philosophical and qualitative methods.

• Korean Journal of Construction Engineering and Management
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• v.23 no.2
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• pp.3-15
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• 2022

In this study, we develop a simulation model for Supply Chain Management (SCM) of modular construction based steel bridge. To this end, first, Factory Production/Site Construction system data for the steel bridge construction were collected, and supply chain, entities, resources, processes were defined based on the collected data. After that, a steel bridge supply chain simulation model was developed by creating data, flowchart, and animation modules using Arena software. Finally, verification and validation of the model were performed by using animation check, extreme condition check, average value test, Little' s law test, and actual case value test. As a result, the developed simulation model appropriately expressed the processes and characteristics of the steel bridge supply chain without any logical errors, and provided accurate performance evaluation values for the target system. In the future, we expect that the model will faithfully play a role as a performance evaluation platform in developing management techniques for optimally operating the steel bridge supply chain.

• Journal of the Korea Computer Graphics Society
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• v.29 no.4
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• pp.7-16
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• 2023

For decades, creating a desired locomotive motion in a goal-oriented manner has been a challenge in character animation. Data-driven methods using generative models have demonstrated efficient ways of predicting long sequences of motions without the need for explicit conditioning. While these methods produce high-quality long-term motions, they can be limited when it comes to synthesizing motion for challenging novel scenarios, such as punching a random target. A state-of-the-art solution to overcome this limitation is by using a GAN Discriminator to imitate motion data clips and incorporating reinforcement learning to compose goal-oriented motions. In this paper, our research aims to create characters performing combat sports such as boxing, using a novel reward design in conjunction with existing GAN-based approaches. We experimentally demonstrate that both the Adversarial Motion Prior [3] and Adversarial Skill Embeddings [4] methods are capable of generating viable motions for a character punching a random target, even in the absence of mocap data that specifically captures the transition between punching and locomotion. Also, with a single learned policy, multiple task controllers can be constructed through the TimeChamber framework.