• Title/Summary/Keyword: 3D Motion System

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Embedding of Objects Using SFM Analysis in Synthetic Image Sequences (합성영상에서의 이동물체의 SFM분석을 통한 물체의 삽입)

  • 최경업;김용철
    • Proceedings of the IEEK Conference
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    • 2000.11c
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    • pp.181-184
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    • 2000
  • This paper presents an experimental system, where an object extracted from an image sequence is embedded into the desired position in a scene. First, a moving object is detected and the 3-D structure is obtained by SFM analysis of comer trajectories. We constrained the motion to translational motion only. Extracted objects are classified by matching with 3-D models and then the structure of the occluded part is restored. Camera calibration is performed for the background scene which will embed the object. Finally, the object is embedded into the scene. In the experiments, we used synthetic image sequences generated with OpenGL library for easy evaluation of the 3-D structure estimation.

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From Exoscope into the Next Generation

  • Nishiyama, Kenichi
    • Journal of Korean Neurosurgical Society
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    • v.60 no.3
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    • pp.289-293
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    • 2017
  • An exoscope, high-definition video telescope operating monitor system to perform microsurgery has recently been proposed an alternative to the operating microscope. It enables surgeons to complete the operation assistance by visualizing magnified images on a display. The strong points of exoscope are the wide field of view and deep focus. It minimized the need for repositioning and refocusing during the procedure. On the other hand, limitation of magnifying object was an emphasizing weak point. The procedures are performed under 2D motion images with a visual perception through dynamic cue and stereoscopically viewing corresponding to the motion parallax. Nevertheless, stereopsis is required to improve hand and eye coordination for high precision works. Consequently novel 3D high-definition operating scopes with various mechanical designs have been developed according to recent high-tech innovations in a digital surgical technology. It will set the stage for the next generation in digital image based neurosurgery.

High efficient vision system for volumetric display (입체영상 디스플레이를 위한 고효율 비젼 시스템)

  • Kim, Sang Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.10
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    • pp.5130-5133
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    • 2013
  • Volumetric display has many applications recently in education, 3D movie, medical images but these applications have several problems that need to be overcome. Volumetric display may process a amount of visual data and design the high efficient vision system for realtime display. The stereo data for volumetric display estimated the disparity vectors from the stereoscopic sequences has been transmitted the disparity vectors, motion vectors and residual images with the reference images, and the stereoscopic sequences have been reconstructed at the receiver for 3D display. Central issue for efficient 3D display lies in selecting an appropriate stereo matching with robust vision system. In this paper, high efficient vision system is proposed for efficient stereo image matching and the experimental results represent high efficiency for proposed 3D display system.

Biomechanical Analysis and Evaluation Technology Using Human Multi-Body Dynamic Model (인체 다물체 동역학 모델을 이용한 생체역학 분석 및 평가 기술)

  • Kim, Yoon-Hyuk;Shin, June-Ho;Khurelbaatar, Tsolmonbaatar
    • Journal of the Korean Society for Nondestructive Testing
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    • v.31 no.5
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    • pp.494-499
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    • 2011
  • This paper presents the biomechanical analysis and evaluation technology of musculoskeletal system by multi-body human dynamic model and 3-D motion capture data. First, medical image based geometric model and material properties of tissue were used to develop the human dynamic model and 3-D motion capture data based motion analysis techniques were develop to quantify the in-vivo joint kinematics, joint moment, joint force, and muscle force. Walking and push-up motion was investigated using the developed model. The present model and technologies would be useful to apply the biomechanical analysis and evaluation of human activities.

Photo System using Augmented Reality (증강현실을 이용한 포토시스템)

  • Suh, Don-Hee;Kim, Jooo-Jin;Song, Eun-Jee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.722-723
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    • 2015
  • 스마트 기기의 확산으로 인해, 보다 다양한 애플리케이션이 개발되고 있다. 증강현실 기법 역시 이미지를 마커로 활용할 수 있게 발전됨에 따라, 광고나 전시 등에서 많이 활용되고 있다. 구현된 포토시스템은 이미지 인식 기반으로 하여, 3D모델과 함께 사진을 찍을 수 있다. 세종문화회관에서 개최된 콘텐츠 전시회에서는 로고 이미지를 이동이 용이한 폼에 부착하여 활용함으로서 브랜드 광고효과도 볼 수 있었다. 본 연구는 스마트 기기를 이용하여, 전시장에서 색다른 포토존 서비스를 제공함으로서, 증강현실 콘텐츠의 새로운 활용 사례를 제시하였다.

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Study on Gait Analysis of Elders and Hemiplegia Patients using 3D Motion Analysis (고령자 및 편마비 환자의 3 차원 동작분석을 통한 보행 특성에 관한 연구)

  • Jang, Hye-Youn;Han, Jung-Soo;Han, Chang-Soo
    • Journal of the Korean Society for Precision Engineering
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    • v.29 no.7
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    • pp.730-736
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    • 2012
  • Latest, many researchers do research on wearable robot. The purpose of the researches is very diverse, it will improve efficiency in the industry, taken to replace the many workers in the military field and taken to assist bodily functions run out by aging. However, there is no clear Differentiated strategy depending on the purpose for design and control of the wearable robot. Although a common purpose is to drive the robot by the sensor signal (intent signals), the optimization about the mechanism and control studies must be done according to the user's physical ability and purpose. In this study, the study's first phase for the development of wearable robotic gait rehabilitation, gait characteristics were analyzed elders and hemiplegia patients using a 3D gait analysis system (VICON512). As a result, asymmetric gait characteristics of the hemiplegia patients were found compared with the normal elderly.

A Study of Electrode Locations for Design of ECG Monitoring Smart Clothing based on Body Mapping (심전도 모니터링 스마트 의류 디자인을 위한 바디매핑 기반 전극 위치 연구)

  • Cho, Hakyung;Cho, Sang woo
    • Fashion & Textile Research Journal
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    • v.17 no.6
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    • pp.1039-1049
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    • 2015
  • The increase in the need for a 24 hour monitoring of biological signals has been accompanied by an increasing interest in wearable systems that can register ECG at any time and place. ECG-monitoring clothing is a wearable system that records heart function continuously, but there have been difficulties in making accurate measurements due to motion artifacts. Although various factors may cause noise in measurements due to motion, the variations in the body surface and clothing during movements that cause eventual the shifting and displacement of the electrodes is particularly noteworthy. Therefore, this study used biomedical body mapping and a motion-capture system to measure and analyze the changes in the body surface and garment during movements. It was deduced that the area where the friction and separation between the garment and skin is the lowest would be the appropriate location to place the ECG electrodes. For this study, 5 male and 5 female in their 20s were selected as subjects, and through their selected body movements, the changes in the garment and skin were analyzed using the motion-capture system. As a result, the area below the chest circumference and the area below the shoulder blades were proposed as the optimal location of electrode for ECG monitoring.

Video Representation via Fusion of Static and Motion Features Applied to Human Activity Recognition

  • Arif, Sheeraz;Wang, Jing;Fei, Zesong;Hussain, Fida
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3599-3619
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    • 2019
  • In human activity recognition system both static and motion information play crucial role for efficient and competitive results. Most of the existing methods are insufficient to extract video features and unable to investigate the level of contribution of both (Static and Motion) components. Our work highlights this problem and proposes Static-Motion fused features descriptor (SMFD), which intelligently leverages both static and motion features in the form of descriptor. First, static features are learned by two-stream 3D convolutional neural network. Second, trajectories are extracted by tracking key points and only those trajectories have been selected which are located in central region of the original video frame in order to to reduce irrelevant background trajectories as well computational complexity. Then, shape and motion descriptors are obtained along with key points by using SIFT flow. Next, cholesky transformation is introduced to fuse static and motion feature vectors to guarantee the equal contribution of all descriptors. Finally, Long Short-Term Memory (LSTM) network is utilized to discover long-term temporal dependencies and final prediction. To confirm the effectiveness of the proposed approach, extensive experiments have been conducted on three well-known datasets i.e. UCF101, HMDB51 and YouTube. Findings shows that the resulting recognition system is on par with state-of-the-art methods.

Changes of visual discomfort depending on velocity of lateral motion and motion-in-depth in stereoscopic images (양안식 영상에서 깊이 방향 모션과 수평 방향 모션 속도에 의한 시각적 불편함의 변화)

  • Lee, Seong-Il;Jung, Yong Ju;Sohn, Hosik;Ro, Yong Man;Park, Hyun Wook
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.11a
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    • pp.4-7
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    • 2010
  • 3D 콘텐츠에 대한 관심이 증가함에 따라 3D 시청 및 제작에 대한 가이드라인의 필요성도 함께 증가하고 있다. 3D 안정 시청 가이드 라인은 3D 시청으로 인한 시청자의 시각적 불쾌감이나 피로감을 방지하는데 목적을 두고 있으며, 최근 일본의 3DC에서는 과도한 수렴-조절 불일치를 방지하기 위해 양안 시차 $1^{\circ}$를 쾌적 시차 범위로 권고하고 있다. 하지만 이 쾌적 시차는 절대적인 수치가 아니며, 콘텐츠의 특성 및 시청 조건에 따라 변하는 것으로 추정된다. 본 논문에서는 쾌적 시차를 갖는 3D 영상 콘텐츠에서 객체의 모션으로 인해 양안시차가 시공간적으로 변할 때, 야기되는 시각적 불편함의 변화에 대하여 관찰한다. 특히, 깊이 방향 모션 및 수평 방향 모션에서 객체의 속도 변화에 대한 시각적 피로감의 정도를 주관적 평가를 통하여 측정한다.

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