• Title/Summary/Keyword: 에셋

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Unity-based adventure game asset creation engine design (유니티 기반의 어드벤처 게임 에셋 생성 엔진 설계)

  • Lee, Hyoun-Sup;Choi, Dae-Kil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.781-783
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    • 2016
  • 유니티는 2D, 3D 게임 개발 도구로 다양한 물리적인 기능과 쉬운 UI와 에셋을 제공하여 개발자가 쉽게 게임을 제작할 수 있도록 지원한다. 유니티가 제공하는 주요 기능 중 하나인 에셋은 게임 개발과정에서 생성되는 스크립트, 리소스, 프리팹 등의 컴포넌트를 통칭한 것으로 개발자가 만들거나 에셋 스토어를 통해 수집하여 게임 제작에 활용할 수 있다. 즉, 에셋 스토어의 에셋들을 활용할 경우 좀 더 효율적으로 게임을 제작할 수 있다. 그러나 에셋 스토어의 구조상 개발하려고 하는 게임 장르 및 타입에 따라 어떠한 에셋을 적용할 것인지를 구분하기 쉽지 않고 적용 에셋을 찾더라도 이를 응용하여 개발 시스템에 적용하기에 상당한 시간 및 노력이 요구되는 경우도 많다. 본 논문에서는 이러한 에셋 적용문제를 해결하고 개발자의 적은 제어를 통해 효율적인 에셋을 제공할 수 있는 ACE(Adventure Create Engine)에셋 생성 엔진에 대하여 제안한다. ACE는 Unity의 상위 레벨에 존재하는 개발 도구로 최종 결과물로 생성된 패키지를 Unity에 적용할 수 있는 구조로 되어 있다. ACE를 활용할 경우 개발자의 요구에 적절한 에셋을 구축할 수 있으며 게임 개발 시간을 단축할 수 있다.

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Asset development for virtual road design based on Unity engine (유니티 엔진 기반 가상 도로 설계를 위한 Asset개발)

  • Lim, Won-Sup;Kim, Dae-Kyun;Song, Eun-Jee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.617-618
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    • 2018
  • 본 논문에서는 유니티 엔진을 활용하여 도로교통 시뮬레이터 에셋을 제안한다. 제안하는 에셋은 유니티 좌표계 내에서 오브젝트를 이용하여 가상의 도로를 설계함으로서 도로교통 시뮬레이터의 진입장벽과 단순 작업비용을 낮추고, 가상의 도로에서 다양한 속성을 가진 차량과 신호등을 생성하고 시뮬레이션 함으로서 차량과 교통신호, 도로설계 등이 교통에 미치는 영향을 시각화하여 관찰 할 수 있다. 제안한 에셋을 이용하여 도로를 보다 용이하게 설계하여 도로교통 시뮬레이션을 할 수 있으며, 간단한 시나리오를 제작하여, 도로정체의 원인을 설명 할 수 있다. 사용자가 도로설계 시의 작업량을 더 줄일 수 있도록 도로생성 부분에서 보다 다양한 기능 지원과 시뮬레이터의 타당성 검토를 위한 추가적인 시나리오 테스트 등이 향후 과제이다.

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Reconstruction Of Photo-Realistic 3D Assets For Actual Objects Combining Photogrammetry And Computer Graphics (사진측량과 컴퓨터 그래픽의 결합을 통한 실제 물체의 사실적인 3D 에셋 재건)

  • Yan, Yong
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.147-161
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    • 2021
  • Through photogrammetry techniques, what current researches can achieve at present is rough 3D mesh and color map of objects, rather than usable photo-realistic 3D assets. This research aims to propose a new method to create photo-realistic 3D assets that can be used in the field of visualization applications. The new method combines photogrammetry with computer graphics modeling. Through the description of the production process of three objects in the real world - "Bullet Box", "Gun" and "Metal Beverage Bottle," it introduces in details the concept, functions, operating skills and software packages used in the steps including the photograph object, white balance, reconstruction, cleanup reconstruction, retopology, UV unwrapping, projection, texture baking, De-Lighting and Create Material Maps. In order to increase the flexibility of the method, alternatives to the software packages are also recommended for each step. In this research, 3D assets are produced that are accurate in shape, correct in color, easy to render and can be physically interacted with dynamic lighting in texture. The new method can obtain more realistic visual effects at a faster speed. It does not require large-scale teams, expensive equipment and software packages, therefore it is suitable for small studios and independent artists and educational institutions.

Generative AI Technology Trends and Development Prospects for Digital Asset Creation (디지털 에셋 창작을 위한 생성형 AI 기술 동향 및 발전 전망)

  • K.S. Lee;S.W. Lee;M.S. Yoon;J.J. Yu;A.R. Oh;I.M. Choi;D.W. Kim
    • Electronics and Telecommunications Trends
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    • v.39 no.2
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    • pp.33-42
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    • 2024
  • With the recent rapid development of artificial intelligence (AI) technology, its use is gradually expanding to include creative areas and building new content using generative AI solutions, reaching beyond existing data analysis and reasoning applications. Content creation using generative AI faces challenges owing to technical limitations and other aspects such as copyright compliance. Nevertheless, generative AI may increase the productivity of experts and overcome barriers to creative work by allowing users to easily express their ideas as digital content. Thus, various types of applications will continue to emerge. As images and videos can be created using text input on a prompt, generative AI allows to create and edit digital assets quickly. We present trends in generative AI technology for images, videos, three-dimensional (3D) assets and scenes, digital humans, interactive content, and interfaces. In addition, the prospects for future technological development in this field are discussed.

A study on retargeting error between motion capture FBX and 3ds Max bipod joints (모션캡쳐 FBX와 3ds Max 바이패드 관절의 리타게팅 오차 연구)

  • SangWon Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.71-72
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    • 2024
  • 본 논문에서는 Adobe Mixamo, 에픽게임즈 마켓플레이스, 유니티 에셋스토어 등에서 제공되는 모션캡쳐 FBX 데이터를 3ds Max 바이패드 애니메이션 시스템에 리타게팅 적용할 때 발생하는 문제점과 해결 방법을 살펴본다. 모션캡쳐 FBX를 바이패드에 리타게팅 하는 과정은 다양한 측면에서 이슈가 발생하는데 본 논문에서는 종아리와 하박 관절의 X축 회전 오차를 중심으로 살펴본다.

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Intuitive Manipulation of Deformable Cloth Object Based on Augmented Reality for Mobile Game (모바일 게임을 위한 증강현실 기반 직관적 변형 직물객체 조작)

  • Kim, Sang-Joon;Hong, Min;Choi, Yoo-Joo
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.4
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    • pp.159-168
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    • 2018
  • In recent, mobile augmented reality game which has been attracting high attention is considered to be an good approach to increase immersion. In conventional augmented reality-based games that recognize target objects using a mobile camera and show the matching game characters, touch-based interaction is mainly used. In this paper, we propose an intuitive interaction method which manipulates a deformable game object by moving a target image of augmented reality in order to enhacne the immersion of the game. In the proposed method, the deformable object is intuitively manipulated by calculating the distance and direction between the target images and by adjusting the external force applied to the deformable object using them. In this paper, we focus on the cloth deformable object which is widely used for natural object animation in game contents and implement natural cloth simulation interacting with game objects represented by wind and rigid objects. In the experiments, we compare the previous commercial cloth model with the proposed method and show the proposed method can represent cloth animation more realistically.

A Methodology for Realty Time-series Generation Using Generative Adversarial Network (적대적 생성망을 이용한 부동산 시계열 데이터 생성 방안)

  • Ryu, Jae-Pil;Hahn, Chang-Hoon;Shin, Hyun-Joon
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.9-17
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    • 2021
  • With the advancement of big data analysis, artificial intelligence, machine learning, etc., data analytics technology has developed to help with optimal decision-making. However, in certain areas, the lack of data restricts the use of these techniques. For example, real estate related data often have a long release cycle because of its recent release or being a non-liquid asset. In order to overcome these limitations, we studied the scalability of the existing time series through the TimeGAN model. A total of 45 time series related to weekly real estate data were collected within the period of 2012 to 2021, and a total of 15 final time series were selected by considering the correlation between the time series. As a result of data expansion through the TimeGAN model for the 15 time series, it was found that the statistical distribution between the real data and the extended data was similar through the PCA and t-SNE visualization algorithms.

The Effect of u-convergence Information System on Flow Theory and Tourist Satisfaction, Reuse Intention -Focusing on Flow Theory- (플로우 이론을 적용한 u-융합정보시스템이 관광객의 만족도와 재사용의도에 미치는 영향 -플로우 이론을 중심으로-)

  • Sun, Su-Kyun;Kim, Jong-In;Ko, Sun-Young
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.389-399
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    • 2021
  • The research background of this paper is because the u-convergence information system applying flow theory lacks the measurement of tourist satisfaction. The purpose and research method of this study are as follows. The first is the suggestion of flow relation information display format algorithm. Second, by combining this algorithm and flow theory, a pattern algorithm was created according to the content information quality and the personality type of tourists. The expected effect of this study is to derive the success factors of the u-convergence information system by generating a pattern algorithm according to the flow relationship information display format and the tourist's personality type. The limitations of this paper are limited to one area, and objectivity is poor due to the lack of data and small area. In the future, it is necessary to evaluate the effectiveness through analysis after applying the method presented to other tourist destinations. Future tasks will need to be supplemented with data from expert groups and objectivity in various regions.