• Title/Summary/Keyword: 모션캡처

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Comparative Analysis of Markerless Facial Recognition Technology for 3D Character's Facial Expression Animation -Focusing on the method of Faceware and Faceshift- (3D 캐릭터의 얼굴 표정 애니메이션 마커리스 표정 인식 기술 비교 분석 -페이스웨어와 페이스쉬프트 방식 중심으로-)

  • Kim, Hae-Yoon;Park, Dong-Joo;Lee, Tae-Gu
    • Cartoon and Animation Studies
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    • s.37
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    • pp.221-245
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    • 2014
  • With the success of the world's first 3D computer animated film, "Toy Story" in 1995, industrial development of 3D computer animation gained considerable momentum. Consequently, various 3D animations for TV were produced; in addition, high quality 3D computer animation games became common. To save a large amount of 3D animation production time and cost, technological development has been conducted actively, in accordance with the expansion of industrial demand in this field. Further, compared with the traditional approach of producing animations through hand-drawings, the efficiency of producing 3D computer animations is infinitely greater. In this study, an experiment and a comparative analysis of markerless motion capture systems for facial expression animation has been conducted that aims to improve the efficiency of 3D computer animation production. Faceware system, which is a product of Image Metrics, provides sophisticated production tools despite the complexity of motion capture recognition and application process. Faceshift system, which is a product of same-named Faceshift, though relatively less sophisticated, provides applications for rapid real-time motion recognition. It is hoped that the results of the comparative analysis presented in this paper become baseline data for selecting the appropriate motion capture and key frame animation method for the most efficient production of facial expression animation in accordance with production time and cost, and the degree of sophistication and media in use, when creating animation.

Pose Calibration of Inertial Measurement Units on Joint-Constrained Rigid Bodies (관절체에 고정된 관성 센서의 위치 및 자세 보정 기법)

  • Kim, Sinyoung;Kim, Hyejin;Lee, Sung-Hee
    • Journal of the Korea Computer Graphics Society
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    • v.19 no.4
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    • pp.13-22
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    • 2013
  • A motion capture system is widely used in movies, computer game, and computer animation industries because it allows for creating realistic human motions efficiently. The inertial motion capture system has several advantages over more popular vision-based systems in terms of the required space and cost. However, it suffers from low accuracy due to the relatively high noise levels of the inertial sensors. In particular, the accelerometer used for measuring gravity direction loses the accuracy when the sensor is moving with non-zero linear acceleration. In this paper, we propose a method to remove the linear acceleration component from the accelerometer data in order to improve the accuracy of measuring gravity direction. In addition, we develop a simple method to calibrate the joint axis of a link to which an inertial sensor belongs as well as the position of a sensor with respect to the link. The calibration enables attaching inertial sensors in an arbitrary position and orientation with respect to a link.

Motion Retargetting Simplification for H-Anim Characters (H-Anim 캐릭터의 모션 리타겟팅 단순화)

  • Jung, Chul-Hee;Lee, Myeong-Won
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.10
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    • pp.791-795
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    • 2009
  • There is a need for a system independent human data format that doesn't depend on a specific graphics tool or program to use interoperable human data in a network environment. To achieve this, the Web3D Consortium and ISO/IEC JTC1 WG6 developed the international draft standard ISO/IEC 19774 Humanoid Animation(H-Anim). H-Anim defines the data structure for an articulated human figure, but it does not yet define the data for human motion generation. This paper discusses a method of obtaining compatibility and independence of motion data between application programs, and describes a method of simplifying motion retargetting necessary for motion definition of H-Anim characters. In addition, it describes a method of generating H-Anim character animation using arbitrary 3D character models and arbitrary motion capture data without any inter-relations, and its implementation results.

A study of center of gravity on 3d character animation (3D 캐릭터 애니메이션에서의 무게중심 관한 연구)

  • Cho, Jae-Yun
    • 한국HCI학회:학술대회논문집
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    • 2006.02b
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    • pp.356-361
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    • 2006
  • 모션캡처기술은 이미 많은 애니메이션과 게임에서 보편화되어 사용되고 있다. 하지만, 이런 좋은 기술을 뒤로 한 채 아직도 많은 애니메이터들이 직접 애니메이션을 하고 있다. 모션캡처 기술비용과 제작시간 때문이기도 하지만 사람과 상이한 체형을 가진 3D 캐릭터에 사람의 모션을 적용하기엔 어색한 부분이 많기 때문이다. 또한, 캐릭터의 특징을 부각시키거나 왜곡시키는 등의 과장의 표현은 불가능하다. 캐릭터의 생명은 그 캐릭터가 가진 성격과 체형에서, 그 캐릭터만의 자연스런 움직임을 표현하는데 있다. 기획과 의도에 따른 특성들을 과장하여 표현하되 인간의 동작에 익숙해 있는 우리 눈에 어색함으로 비춰지지 않도록 해주어야 비로소 생명력이 있는 캐릭터를 만들 수 있다. 다양한 모양의 캐릭터는 서로 다른 무게중심을 가졌고 이를 고려하지 않고 애니메이션 했을 때 여러 가지 문제점이 생긴다. 이러한 문제점은 캐릭터가 자연스럽지 못하게 보이는 가장 큰 원인 중 하나다. 본 논문은 게임과 애니메이션 등에서의 3D 캐릭터가 더욱 생생하고 현실적으로 보이도록 돕는데 그 목적이 있다. 그 중, 중요한 요소인 무게중심에 대한 이해와 함께 활용방법에 대한 연구에 목적을 둔다. 캐릭터의 자연스러운 움직임을 위해 무게중심은 반드시 고려해야 할 문제이고 캐릭터의 특성 및 성격 표현에도 중요한 영향을 미친다. 애니메이터들에게 무게중심에 대한 중요성을 알리고 새로운 접근방법을 제시하는 것을 본 논문의 가치로 삼는다.

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Study on hole-filling technique of motion capture images using GANs (Generative Adversarial Networks) (GANs(Generative Adversarial Networks)를 활용한 모션캡처 이미지의 hole-filling 기법 연구)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.160-161
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    • 2019
  • As a method for modeling a three-dimensional object, there are a method using a 3D scanner, a method using a motion capture system, and a method using a Kinect system. Through this method, a portion that is not captured due to occlusion occurs in the process of creating a three-dimensional object. In order to implement a perfect three-dimensional object, it is necessary to arbitrarily fill the obscured part. There is a technique to fill the unexposed part by various image processing methods. In this study, we propose a method using GANs, which is the latest trend of unsupervised machine learning, as a method for more natural hole-filling.

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3D Character Motion Synthesis and Control Method for Navigating Virtual Environment Using Depth Sensor (깊이맵 센서를 이용한 3D캐릭터 가상공간 내비게이션 동작 합성 및 제어 방법)

  • Sung, Man-Kyu
    • Journal of Korea Multimedia Society
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    • v.15 no.6
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    • pp.827-836
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    • 2012
  • After successful advent of Microsoft's Kinect, many interactive contents that control user's 3D avatar motions in realtime have been created. However, due to the Kinect's intrinsic IR projection problem, users are restricted to face the sensor directly forward and to perform all motions in a standing-still position. These constraints are main reasons that make it almost impossible for the 3D character to navigate the virtual environment, which is one of the most required functionalities in games. This paper proposes a new method that makes 3D character navigate the virtual environment with highly realistic motions. First, in order to find out the user's intention of navigating the virtual environment, the method recognizes walking-in-place motion. Second, the algorithm applies the motion splicing technique which segments the upper and the lower motions of character automatically and then switches the lower motion with pre-processed motion capture data naturally. Since the proposed algorithm can synthesize realistic lower-body walking motion while using motion capture data as well as capturing upper body motion on-line puppetry manner, it allows the 3D character to navigate the virtual environment realistically.

A Study on Game Character Rigging for Root Motion (루트 모션을 위한 게임 캐릭터 리깅 연구)

  • SangWon Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.163-164
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    • 2023
  • 실시간 3D 렌더링 게임의 제작 환경에서 캐릭터의 움직임은 모션 캡처(motion capture)를 통해 만들거나 애니메이터에 의해 제작된다. 걷기나 달리기 등 일정한 속도로 캐릭터가 움직이는 모션은 캐릭터가 제자리(in place)에서 움직이도록 한 뒤에 게임에서 프로그램에 의해 일정한 속도로 움직임으로써 구현할 수 있다. 하지만 일정하지 않은 속도로 움직이는 모션을 같은 방식으로 적용하면 캐릭터의 이동이 어색해진다. 이런 어색함을 보완하기 위해 언리얼이나 유니티 3D 등의 엔진에서는 루트 모션(root motion) 기능을 사용하고 있다. 그런데 루트 모션을 위한 계층 구조는 애니메이터의 작업 효율을 위한 계층 구조와 다른 측면이 있다. 본 논문에서는 3ds Max를 사용하여 애니메이터 친화적이고 루트 모션에도 적합한 캐릭터 리깅을 제시한다.

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Analysis on Pataphysics of Virtual Idol based on Game Character -Focus on K/DA (게임 캐릭터 기반 버추얼 아이돌의 파타피직스 연구 -K/DA를 중심으로)

  • Kim, Cho-Young;Han, Hye-Won
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.69-78
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    • 2020
  • K/DA is a K-pop virtual idol based on the game character. This study analyzed the creation process, characteristics and existential meaning of virtual idols from the perspective of Pataphysics. K/DA is a character with both characteristics of game character and K-pop girl group. Also, virtual character and real idol share the body through motion capture and augmented reality(AR). As a result, K/DA crosses virtual and reality, and at the same time becomes a pataphysical subject that does not belong to either virtual or reality. K/DA is suggested a third zone where digital subjects will be located in the future.

Multi-camera Calibration Method for Optical Motion Capture System (광학식 모션캡처를 위한 다중 카메라 보정 방법)

  • Shin, Ki-Young;Mun, Joung-H.
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.41-49
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    • 2009
  • In this paper, the multi-camera calibration algorithm for optical motion capture system is proposed. This algorithm performs 1st camera calibration using DLT(Direct linear transformation} method and 3-axis calibration frame with 7 optical markers. And 2nd calibration is performed by waving with a wand of known length(so called wand dance} throughout desired calibration volume. In the 1st camera calibration, it is obtained not only camera parameter but also radial lens distortion parameters. These parameters are used initial solution for optimization in the 2nd camera calibration. In the 2nd camera calibration, the optimization is performed. The objective function is to minimize the difference of distance between real markers and reconstructed markers. For verification of the proposed algorithm, re-projection errors are calculated and the distance among markers in the 3-axis frame and in the wand calculated. And then it compares the proposed algorithm with commercial motion capture system. In the 3D reconstruction error of 3-axis frame, average error presents 1.7042mm(commercial system) and 0.8765mm(proposed algorithm). Average error reduces to 51.4 percent in commercial system. In the distance between markers in the wand, the average error shows 1.8897mm in the commercial system and 2.0183mm in the proposed algorithm.