Neural Network 3D Body Pose Tracking and Prediction for Motion-to-Photon Latency Compensation in Distributed Virtual Reality

2019 ◽  
pp. 429-442 ◽  
Author(s):  
Sebastian Pohl ◽  
Armin Becher ◽  
Thomas Grauschopf ◽  
Cristian Axenie
Keyword(s):  
Neural Network ◽  
Virtual Reality ◽  
Pose Tracking ◽  
Distributed Virtual Reality

scholarly journals A Product Pose Tracking Paradigm Based on Deep Points Detection

Machines ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 112
Author(s):  
Loukas Bampis ◽  
Spyridon G. Mouroutsos ◽  
Antonios Gasteratos
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Visible Spectrum ◽  
The Body ◽  
Autonomous Control ◽  
Pose Tracking ◽  
Computer Aided ◽  
Manufacturing Procedure ◽  
Infrared Cameras ◽  
Representative Points

The paper at hand presents a novel and versatile method for tracking the pose of varying products during their manufacturing procedure. By using modern Deep Neural Network techniques based on Attention models, the most representative points to track an object can be automatically identified using its drawing. Then, during manufacturing, the body of the product is processed with Aluminum Oxide on those points, which is unobtrusive in the visible spectrum, but easily distinguishable from infrared cameras. Our proposal allows for the inclusion of Artificial Intelligence in Computer-Aided Manufacturing to assist the autonomous control of robotic handlers.

Motion-Aware Adaptive Dead Reckoning Algorithm for Distributed Virtual Reality Systems

2012 ◽  
Author(s):  
Vasily Y. Kharitonov
Keyword(s):  
Virtual Reality ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Dead Reckoning ◽  
Object Motion ◽  
Data Consistency ◽  
Motion Pattern ◽  
Network Bandwidth ◽  
Account Information ◽  
Distributed Virtual Reality

Dead reckoning algorithms are employed in distributed virtual reality systems (DVR systems) for predicting objects states at any given moment of time that makes it possible to minimize bandwidth requirements while maintaining required data consistency. However, existing implementations often do not take into account information on the object motion dynamics and, in general, apply static prediction models. In this paper a novel motion-aware adaptive dead reckoning algorithm is introduced based on dynamical prediction model selection depending on the object motion pattern. The results show that considerable reduction in update messages can be achieved without sacrificing prediction accuracy. In addition, it becomes possible to dynamically adjust the size of update messages according to the motion pattern and, thus, provide more flexible use of network bandwidth.

A Multiplayer Virtual Intelligent System Based on Distributed Virtual Reality

2021 ◽  
Author(s):  
Zhen You ◽  
Jiewen Huang ◽  
Jinyun Xue ◽  
Jiaxiang Chen ◽  
Jiaxin Liu ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Intelligent System ◽  
Interaction Mechanism ◽  
Graph Algorithm ◽  
Theoretical Research ◽  
Behavioral Consistency ◽  
Tourist Attractions ◽  
World Heritage List ◽  
Distributed Virtual Reality ◽  
3D Scene

Distributed Virtual Reality (DVR) is a combination of network and virtual reality technology, it could facilitate to construct a uniformly shared Distributed Virtual Environment (DVE) by using network to connect geographically distributed multiplayers. This paper concentrates on the theoretical research and practical development about Multiplayer Virtual Intelligent System (MVIS), and the main contribution could be summarized as two points. (1) Based on the DVR technology, this paper presented some theoretical research on MVIS, including the classification of virtual entities, communication pattern of entities, and the behavioral consistency research. Furthermore, a Multiplayer Earliest Deadline First (MEDF) program was proposed in order to guarantee the consistency of entities. (2) A prototype algorithm experiment system, called Multiplayer Graph-algorithm Intelligent System (MGIS), was designed. MGIS not onlyefficiently solves many problems in traditional computer algorithm teaching, such as high-abstraction, difficulty to understand, and lack of interaction mechanism; but also extends the application of DVR to cultural tourism, because MGIS is developed on the 3D scene of Lushan Mountain, which is one of the notable tourist attractions in China, and was included in the UNESCO World Heritage list in 1996. What i’s more, MGIS illustrates the ability of expression, applicability and generality of the theoretical research about MVIS.

scholarly journals Virtual reality space orientation based on neural network

2018 ◽  
Vol 131 ◽  
pp. 192-203
Author(s):  
Wang Zhongmin ◽  
Guo Wenhong
Keyword(s):  
Neural Network ◽  
Virtual Reality ◽  
Space Orientation

A Distributed Virtual Reality Simulation System for Situational Training

1994 ◽  
Vol 3 (4) ◽  
pp. 360-366 ◽  
Author(s):  
Sharon A. Stansfield
Keyword(s):  
Virtual Reality ◽  
Simulation System ◽  
Virtual Reality Simulation ◽  
Distributed Virtual Reality

This paper presents a laboratory review of current research being undertaken at Sandia National Laboratories in the development of a distributed virtual reality simulation system for situational training applications. An overview of the project is presented, followed by a discussion of the various components, both hardware and software. Finally, a training application being developed utilizing the system is presented.

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