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Relevant bibliographies by topics / 3D Motion

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Academic literature on the topic '3D Motion'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "3D Motion"

1

Yang, Jonghyun, Jeongjun Park, and Changwan Yu. "Accuracy Verification of 3D Motion Analysis System Using Smart-phone Monocular Camera." Korean Journal of Sport Science 32, no. 4 (2021): 464–71. http://dx.doi.org/10.24985/kjss.2021.32.4.464.

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PURPOSE This study aimed to verify the accuracy of three-dimensional (3D) motion data produced through artificial intelligence-based user motion recognition technology with images obtained using a smartphone monocular camera. This was done to explore the possibility of developing an application that can improve the reliability of the measurement of physical activity performing motions and feedback provision.METHODS To check the accuracy of the artificial intelligence-based 3D motion analysis system that utilized a semi-supervised learning method, a commercialized 3D infrared motion analysis sy

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Phan, Gia-Hoang, Clint Hansen, Paolo Tommasino, Asif Hussain, Domenico Formica, and Domenico Campolo. "A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking." Sensors 20, no. 20 (2020): 5864. http://dx.doi.org/10.3390/s20205864.

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In 3D motion capture, multiple methods have been developed in order to optimize the quality of the captured data. While certain technologies, such as inertial measurement units (IMU), are mostly suitable for 3D orientation estimation at relatively high frequencies, other technologies, such as marker-based motion capture, are more suitable for 3D position estimations at a lower frequency range. In this work, we introduce a complementary filter that complements 3D motion capture data with high-frequency acceleration signals from an IMU. While the local optimization reduces the error of the motio

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Balasubramanyam, Adithya, Ashok Kumar Patil, Bharatesh Chakravarthi, Jae Yeong Ryu, and Young Ho Chai. "Motion-Sphere: Visual Representation of the Subtle Motion of Human Joints." Applied Sciences 10, no. 18 (2020): 6462. http://dx.doi.org/10.3390/app10186462.

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Understanding and differentiating subtle human motion over time as sequential data is challenging. We propose Motion-sphere, which is a novel trajectory-based visualization technique, to represent human motion on a unit sphere. Motion-sphere adopts a two-fold approach for human motion visualization, namely a three-dimensional (3D) avatar to reconstruct the target motion and an interactive 3D unit sphere, that enables users to perceive subtle human motion as swing trajectories and color-coded miniature 3D models for twist. This also allows for the simultaneous visual comparison of two motions.

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Hu, Xiao, Libo Long, and Jochen Lang. "Motion Decoupled 3D Gaussian Splatting for Dynamic Object Representation." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 4 (2025): 3590–98. https://doi.org/10.1609/aaai.v39i4.32373.

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Dynamic object modeling is a critical challenge in 3D scene reconstruction. Previous methods typically maintain a canonical space to represent the object model, and a deformation field to express the object motion. However, this approach fails when the object undergoes large motions. The position variation caused by significant motion not only complicates the establishment of a canonical space, but also misleads the interpretation of the deformation field. To overcome the above weaknesses, we propose Motion Decoupled Dynamic 3D Gaussian Splatting (M5D-GS), the first 3D-GS model that separates

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Lee, Taeryung, Gyeongsik Moon, and Kyoung Mu Lee. "MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 1231–39. http://dx.doi.org/10.1609/aaai.v37i1.25206.

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We tackle the problem of generating long-term 3D human motion from multiple action labels. Two main previous approaches, such as action- and motion-conditioned methods, have limitations to solve this problem. The action-conditioned methods generate a sequence of motion from a single action. Hence, it cannot generate long-term motions composed of multiple actions and transitions between actions. Meanwhile, the motion-conditioned methods generate future motions from initial motion. The generated future motions only depend on the past, so they are not controllable by the user's desired actions. W

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Wang, Haiying. "Three-Dimensional Image Recognition of Athletes' Wrong Motions Based on Edge Detection." Journal Européen des Systèmes Automatisés 53, no. 5 (2020): 733–38. http://dx.doi.org/10.18280/jesa.530516.

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The traditional 3D visual motion amplitude tracking algorithms cannot acquire the complete contour features, not to mention the correction of wrong motions in sports training. To solve the problem, this paper designs a 3D visual image recognition method based on contourlet domain edge detection, and applies it to the recognition of athlete’s wrong motions in sports training. Firstly, the visual reconstruction and feature analysis of human motions were carried out, and the edge detection features were extracted by edge detection algorithm. Then, a 3D visual motion amplitude tracking method was

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Chen, Xingfan, Qican Zhang, and Yajun Wang. "Dynamic 3D Measurement Based on Camera-Pixel Mismatch Correction and Hilbert Transform." Sensors 25, no. 3 (2025): 924. https://doi.org/10.3390/s25030924.

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In three-dimensional (3D) measurement, the motion of objects inevitably introduces errors, posing significant challenges to high-precision 3D reconstruction. Most existing algorithms for compensating motion-induced phase errors are tailored for object motion along the camera’s principal axis (Z direction), limiting their applicability in real-world scenarios where objects often experience complex combined motions in the X/Y and Z directions. To address these challenges, we propose a universal motion error compensation algorithm that effectively corrects both pixel mismatch and phase-shift erro

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Lin, Luoyang, Zutao Jiang, Xiaodan Liang, Liqian Ma, Michael C. Kampffmeyer, and Xiaochun Cao. "PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 4 (2024): 3441–49. http://dx.doi.org/10.1609/aaai.v38i4.28131.

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Talking upper-body synthesis is a promising task due to its versatile potential for video creation and consists of animating the body and face from a source image with the motion from a given driving video. However, prior synthesis approaches fall short in addressing this task and have been either limited to animating heads of a target person only, or have animated the upper body but neglected the synthesis of precise facial details. To tackle this task, we propose a Photo-realistic Talking Upper-body Synthesis method via 3D-aware motion decomposition warping, named PTUS, to both precisely syn

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Liu, Feng, Yueting Zhuang, Fei Wu, and Yunhe Pan. "3D motion retrieval with motion index tree." Computer Vision and Image Understanding 92, no. 2-3 (2003): 265–84. http://dx.doi.org/10.1016/j.cviu.2003.06.001.

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Hyodo, Hiroki, and Tadashi Wada. "3D Motion Analysis of Kick Start Motion." IEEJ Transactions on Electronics, Information and Systems 143, no. 1 (2023): 32–37. http://dx.doi.org/10.1541/ieejeiss.143.32.

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Dissertations / Theses on the topic "3D Motion"

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Deutscher, Jonathan A. J. "3D human motion capture." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393478.

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Karlsson, Daniel. "Human Motion Tracking Using 3D Camera." Thesis, Linköping University, Department of Electrical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-54426.

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<p>The interest in video surveillance has increased in recent years. Cameras are now installed in e.g. stores, arenas and prisons. The video data is analyzed to detect abnormal or undesirable events such as thefts, fights and escapes. At the Informatics Unit at the division of Information Systems, FOI in Linköping, algorithms are developed for automatic detection and tracking of humans in video data. This thesis deals with the target tracking problem when a 3D camera is used. A 3D camera creates images whose pixels represent the ranges to the scene. In recent years, new camera systems have eme

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Park, Jinha. "Collective Motion in 3D and Hysteresis." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156424.

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Many animal groups in nature exhibit collective motion, such as bird flocks and fish schools. The group's internal motion is complex and dynamic, but the group moves cohesively in the same direction. The mechanism behind this collective motion has been studied with various ways. Mathematical modeling provides powerful tools to study this. In particular, individual based, self-propelled particle (SPP) models are among the most popular. Several SPP models have been developed using different local interaction rules between each individual and its neighbours. Among them, the local attraction model

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Carranca, Ricardo Luís d'Abreu Fernandes. "3D motion control with axis interpolation." Master's thesis, Universidade de Aveiro, 2012. http://hdl.handle.net/10773/10103.

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Mestrado em Engenharia Mecânica<br>Há alguns anos que a automação e controlo entraram no mundo do entretenimento. A evidenciar este facto, tem-se assistido nos últimos anos a um aumento de soluções e inovações nesta área. Tal desafio resulta em grande parte, da exigência dos espetadores, com uma cada vez maior componente emocional, que deriva da transposição para a indústria do espetáculo, de façanhas extraordinárias, por exemplo com personagens importados do universo de heróis da banda desenhada. Este campo de criatividade, com efeitos visuais, tem aplicações no teatro, cinema ou conc

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Benedikt, Lanthao. "Using 3d Facial Motion for Biometric Identification." Thesis, Cardiff University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523527.

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Maclean, Craig David. "Analytical motion planning on 3D-Lie groups." Thesis, University of Strathclyde, 2014. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=24388.

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In this thesis optimal analytical controls derived using the framework of geometric control theory are used to plan motions for real engineering systems, and their performance assessed. Beginning with the nonholonomic wheeled robot on the 3-D Special Euclidean group, the co-ordinate free Maximum Principle of optimal control is used to create a kinematic motion planner via parametric optimisation. The reachable sets of the planner are investigated, and an obstacle avoidance framework is created and demonstrated. The practical applicability of this motion planner is assessed in both the unit spe

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Clift, Louis G. "Robotic 3D reconstruction utilising structure from motion." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/20734/.

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Sensing the real-world is a well-established and continual problem in the field of robotics. Investigations into autonomous aerial and underwater vehicles have extended this challenge into sensing, mapping and localising in three dimensions. This thesis seeks to understand and tackle the challenges of recovering 3D information from an environment using vision alone. There is a well-established literature on the principles of doing this, and some impressive demonstrations; but this thesis explores the practicality of doing vision-based 3D reconstruction using multiple, mobile robotic platforms,

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Lupínek, Dalibor. "Zachycení pohybu postavy ve 3D prostoru." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236769.

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This paper deals with techniques for acquiring data for character animation driven from video. Among other, it also presents several Motion Capture systems and animation data formats BVH and CSM. It also contains an example application demonstrating attained accomplishments. These are reviewed and there is instituted a course of future proceeding.

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Ntawiniga, Frédéric. "Head Motion Tracking in 3D Space for Drivers." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25229/25229.pdf.

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Ce travail présente un système de vision par ordinateur capable de faire un suivi du mouvement en 3D de la tête d’une personne dans le cadre de la conduite automobile. Ce système de vision par ordinateur a été conçu pour faire partie d'un système intégré d’analyse du comportement des conducteurs tout en remplaçant des équipements et des accessoires coûteux, qui sont utilisés pour faire le suivi du mouvement de la tête, mais sont souvent encombrants pour le conducteur. Le fonctionnement du système est divisé en quatre étapes : l'acquisition d'images, la détection de la tête, l’extraction des tr

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Muck, Kin Ling. "Motion planning in 2D and 3D with rotation." Thesis, Imperial College London, 1989. http://hdl.handle.net/10044/1/47579.

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Books on the topic "3D Motion"

1

Ethier, Stephen J. 3D Studio MAX in motion. Prentice Hall, 1999.

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Olguín Díaz, Ernesto. 3D Motion of Rigid Bodies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04275-2.

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Wedel, Andreas, and Daniel Cremers. Stereo Scene Flow for 3D Motion Analysis. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-965-9.

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Daniel, Cremers, and SpringerLink (Online service), eds. Stereo Scene Flow for 3D Motion Analysis. Springer-Verlag London Limited, 2011.

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Ethier, Stephen J. 3D studio MAX in motion: Basics using release 3.1. Prentice Hall, 2001.

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Holmes, Per. Hollywood camera work: V.1 : 3D primer : visual effects for directors. Hollywood Camera Work, 2009.

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Favaro, Paolo. 3-D shape estimation and image restoration: Exploiting defocus and motion blur. Springer, 2007.

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Coelho, Alessandra Martins. Multimedia Networking and Coding: State-of-the Art Motion Estimation in the Context of 3D TV. INTECH, 2013.

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Koppenol, P. J. 3D Euler flow simulations on a Cyber 205 vector computer. National Aerospace Laboratory, 1985.

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Andrew, Odewahn, and Jepson Brian 1967-, eds. Making things see: 3D vision with Kinect, Processing, Arduino, and MakerBot. O'Reilly, 2012.

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Book chapters on the topic "3D Motion"

1

Ross, Miriam. "Bodies in Motion." In 3D Cinema. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137378576_7.

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Olguín Díaz, Ernesto. "Rigid Motion." In 3D Motion of Rigid Bodies. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04275-2_3.

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Tsechpenakis, Gabriel, Dimitris Metaxas, and Carol Neidle. "Combining Discrete and Continuous 3D Trackers." In Human Motion. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6693-1_6.

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Chin, Robert. "Motion and Collision." In Beginning Android 3D Game Development. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6548-1_5.

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Anderl, Reiner, and Peter Binde. "Motion (Multibody Dynamics)." In Simulations with NX / Simcenter 3D. Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569907139.002.

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Chen, Yueh-Tung, Cheng-Hsien Han, Hao-Wei Jeng, and Hao-Chuan Wang. "Crowdsourcing 3D Motion Reconstruction." In Smart Graphics. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11650-1_16.

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Jackson, Chris. "3D Space in Motion." In After Effects for Designers. Routledge, 2018. http://dx.doi.org/10.1201/9781315186283-8.

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Gao, Xiang, and Tao Zhang. "3D Rigid Body Motion." In Introduction to Visual SLAM. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4939-4_2.

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Zhang, Zhengyou, and Olivier Faugeras. "Modeling and Estimating Motion Kinematics." In 3D Dynamic Scene Analysis. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58148-9_14.

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Anderl, Reiner, and Peter Binde. "NX/Simcenter Motion, MKS." In Simulationen mit NX / Simcenter 3D. Carl Hanser Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.3139/9783446452381.002.

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Conference papers on the topic "3D Motion"

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Zaier, Mayssa, Hazem Wannous, Hassen Drira, and Jacques Boonaert. "Motion-Lie Transformer: Geometric Attention For 3D Human Pose Motion Prediction." In 2024 IEEE International Conference on Image Processing (ICIP). IEEE, 2024. http://dx.doi.org/10.1109/icip51287.2024.10648098.

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Xu, Jiachen, Min Wang, Jingyu Gong, et al. "Exploring Versatile Prior for Human Motion via Motion Frequency Guidance." In 2021 International Conference on 3D Vision (3DV). IEEE, 2021. http://dx.doi.org/10.1109/3dv53792.2021.00070.

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Leow, Yee Siong. "3D illusion in motion." In ACM SIGGRAPH 2006 Computer animation festival. ACM Press, 2006. http://dx.doi.org/10.1145/1179196.1179198.

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Paul, Manoranjan, Junbin Gao, and Michael Anotolovich. "3D motion estimation for 3D video coding." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288100.

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Zhu, Yingying, Mark Cox, and Simon Lucey. "3D motion reconstruction for real-world camera motion." In 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2011. http://dx.doi.org/10.1109/cvpr.2011.5995650.

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Langer, M. S., V. Chapdelaine-Couture, R. Mann, and S. Roy. "Motion Parallax without Motion Compensation in 3D Cluttered Scenes." In Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06). IEEE, 2006. http://dx.doi.org/10.1109/3dpvt.2006.96.

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Chen, Pei-Yao, Chun-Hong Huang, and Joseph C. Tsai. "Human Motion Extrapolation via Motion Analysis and 2D-3D Motion Estimation." In 2011 4th International Conference on Ubi-Media Computing (U-Media). IEEE, 2011. http://dx.doi.org/10.1109/u-media.2011.38.

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Cui, Hainan, Shuhan Shen, Xiang Gao, and Zhanyi Hu. "Batched Incremental Structure-from-Motion." In 2017 International Conference on 3D Vision (3DV). IEEE, 2017. http://dx.doi.org/10.1109/3dv.2017.00032.

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Ichimaru, Kazuto, Yuichi Taguchi, and Hiroshi Kawasaki. "Unified Underwater Structure-from-Motion." In 2019 International Conference on 3D Vision (3DV). IEEE, 2019. http://dx.doi.org/10.1109/3dv.2019.00064.

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Lee, Pei-Jun, and Xu-Xian Huang. "3D motion estimation algorithm in 3D video coding." In 2011 International Conference on System Science and Engineering (ICSSE). IEEE, 2011. http://dx.doi.org/10.1109/icsse.2011.5961924.

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Reports on the topic "3D Motion"

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Levine, S. Interactive 3D Motion Graphics with Large Data Bases. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1453942.

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Mojidra, Rushil, and Keri Ryan. Influence of Vertical Ground Motion on Bridges Isolated with Spherical Sliding Bearings. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/rynq3624.

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The motivation for this project developed from testing of a full scale building isolated with triple friction pendulum bearings on the E-defense shake table in Japan. The test demonstrated experimentally that the vertical component of ground motion can amplify both the base shear and the story acceleration in the isolated building. Vertical shaking introduced high-frequency variation in the axial force of the bearings, and, consequently, a high-frequency component in the bearing lateral force, which excited higher structural modes in the building. Since vertical bridges are flexible in the ver

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Mekonnen, Bisrat, Benjamin Christie, Michael Paquette, and Garry Glaspell. 3D mapping and navigation using MOVEit. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47179.

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Until recently, our focus has been primarily on the development of a low SWAP-C payload for deployment on a UGV that leverages 2D mapping and navigation. Due to these efforts, we are able to autonomously map and navigate very well within flat indoor environments. This report will explore the implementation of 3D mapping and navigation to allow unmanned vehicles to operate on a variety of terrains, both indoor and outdoor. The method we followed uses MOVEit, a motion planning framework. The MOVEit application is typically used in the control of robotic arms or manipulators, but its handling of

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Rodgers, A., and N. Petersson. Evaluating Ground Motion Predictions of USGS 3D Seismic Model of the San Francisco Bay Area with Broadband Seismograms. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/1129987.

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Pitarka, A. 3D WAVE PROPAGATION AND SITE EFFECTS IN THE HUMBOLDT BAY AREA USING STRONG GROUND MOTION RECORDS FROM THE M6.5 2010 FERNDALE EARTHQUAKE. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1062223.

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Trahan, Corey, Jing-Ru Cheng, and Amanda Hines. ERDC-PT : a multidimensional particle tracking model. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/48057.

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This report describes the technical engine details of the particle- and species-tracking software ERDC-PT. The development of ERDC-PT leveraged a legacy ERDC tracking model, “PT123,” developed by a civil works basic research project titled “Efficient Resolution of Complex Transport Phenomena Using Eulerian-Lagrangian Techniques” and in part by the System-Wide Water Resources Program. Given hydrodynamic velocities, ERDC-PT can track thousands of massless particles on 2D and 3D unstructured or converted structured meshes through distributed processing. At the time of this report, ERDC-PT support

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Taira, Taka'aki, and Arthur Rodgers. Evaluating and Improving the USGS 3D Seismic Velocity Model in the San Francisco East Bay by Integrating Earthquake Ground-Motion Simulations and Noise-Derived Empirical Green's Functions. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1544513.

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Lokke, Arnkjell, and Anil Chopra. Direct-Finite-Element Method for Nonlinear Earthquake Analysis of Concrete Dams Including Dam–Water–Foundation Rock Interaction. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 2019. http://dx.doi.org/10.55461/crjy2161.

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Evaluating the seismic performance of concrete dams requires nonlinear dynamic analysis of two- or three-dimensional dam–water–foundation rock systems that include all the factors known to be significant in the earthquake response of dams. Such analyses are greatly complicated by interaction between the structure, the impounded reservoir and the deformable foundation rock that supports it, and the fact that the fluid and foundation domains extend to large distances. Presented in this report is the development of a direct finite-element (FE) method for nonlinear earthquake analysis of two- and

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Ruby, Jeffrey, Richard Massaro, John Anderson, and Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46442.

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According to Army Multi-Domain Operations (MDO) doctrine, generating timely, accurate, and exploitable geospatial products from tactical platforms is a critical capability to meet threats. The US Army Corps of Engineers, Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL) is carrying out 6.2 research to facilitate the creation of three-dimensional (3D) products from tactical sensors to include full-motion video, framing cameras, and sensors integrated on small Unmanned Aerial Systems (sUAS). This report describes an ERDC-GRL processing pipeline comprising custom

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Dodson, Nathan, Michael Paquette, and Garry Glaspell. Leveraging MOVEit for object inspection in simulation. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47847.

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Herein we evaluate using a robotic arm with an attached camera to investigate objects of interest in simulation. Specifically, a Husky unmanned ground vehicle with a Panda Powertool was used in the simulation. The code enabled an operator to initiate a preconfigured set of motions when an object of interest was identified. The scan was stored in a database file that was used to generate a 3D mesh of the scanned object. The report describes both setting up the simulation and the code used to scan objects of interest.

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