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Titlebook: Virtual Reality with VRTK4; Create Immersive VR Rakesh Baruah Book 2020 Rakesh Baruah 2020 Virtual reality.Unity3D.Virtual Reality Toolkit

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发表于 2025-3-21 19:18:15 | 显示全部楼层 |阅读模式
书目名称Virtual Reality with VRTK4
副标题Create Immersive VR
编辑Rakesh Baruah
视频video
概述Emphasizes drag-and-drop features of VRTK to design virtual reality experiences.Unlike other Unity books with focus on game design, this concentrates on VRTK tool.An introduction to the psychology of
图书封面Titlebook: Virtual Reality with VRTK4; Create Immersive VR  Rakesh Baruah Book 2020 Rakesh Baruah 2020 Virtual reality.Unity3D.Virtual Reality Toolkit
描述Virtual reality is quickly becoming the next medium to communicate your ideas.  Once siloed in make-believe world of science fiction, virtual reality can now touch any aspect of your life. This book shows you how to create original virtual reality content using the Unity game engine and the Virtual Reality Tool Kit. By the end of the book you‘ll be creating your own virtual reality experience using the fundamental building blocks within..You‘ll start by reviewing spatial computing, an emerging field that encompasses self-driving cars to space exploration. You‘ll also create your own virtual reality environments for use on headsets such as those from Oculus and HTC. Using the Unity3D game engine and the Virtual Reality Toolkit on a computer or laptop, you will walk through the fundamentals of virtual reality with as little code as possible. That is the beauty of Unity and the Virtual Reality Toolkit. You will discover how to use buttons in a virtual space,gaze-tracking for user input, and physics for enabling interaction between a human and a virtual space.  .From game design to education to healthcare to human resources, virtual reality offers new and creative ways to engage users,
出版日期Book 2020
关键词Virtual reality; Unity3D; Virtual Reality Toolkit; Spatial computing; VR environments
版次1
doihttps://doi.org/10.1007/978-1-4842-5488-2
isbn_softcover978-1-4842-5487-5
isbn_ebook978-1-4842-5488-2
copyrightRakesh Baruah 2020
The information of publication is updating

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发表于 2025-3-21 23:57:34 | 显示全部楼层
r input, and physics for enabling interaction between a human and a virtual space.  .From game design to education to healthcare to human resources, virtual reality offers new and creative ways to engage users,978-1-4842-5487-5978-1-4842-5488-2
发表于 2025-3-22 03:23:08 | 显示全部楼层
paper is close to 500 us. The accuracy of the attack detection constructed on the I5-7200U platform finally reaches 97.39%, while on the I7-7700 platform, it reaches 99.31%. The CPU utilization from Sampling of hardware performance events falls below the 1%. The performance loss of the final build
发表于 2025-3-22 05:14:54 | 显示全部楼层
Rakesh Baruah compared to the baseline model, the proposed YOLO-PR method achieves improved average detection accuracy for multi-pose objects while introducing only a marginal increase in model parameters. And, detection speed is maintained. When compared to other general detection models, YOLO-PR exhibits super
发表于 2025-3-22 09:06:38 | 显示全部楼层
Rakesh Baruahf 99.5%, and the proposed automatic correction algorithm effectively rectifies the tilt and distortion in instrument images. This method is believed to hold significant potential for enhancing the accuracy of automatic instrument identification, particularly in industrial applications demanding high
发表于 2025-3-22 14:20:41 | 显示全部楼层
Rakesh Baruahented using a new Proximal Policy Optimization that extends a single action to multiple actions, called multi-PPO. Through extensive experiments on instances, the research results show that this method has superior performance compared to traditional hand-designed scheduling rules. Furthermore, the
发表于 2025-3-22 20:11:43 | 显示全部楼层
Rakesh Baruahseasonal, and trend features within the time-series. Finally, we add a denormalization module to prevent excessive normalization of data during training, reducing the loss of original data information. We collect remote sensing data of different spectral bands in open-pit mining areas and validate t
发表于 2025-3-23 01:11:03 | 显示全部楼层
Rakesh Baruahdaptability. To verify the effectiveness of the proposed method, the comprehensive experiments were con-ducted on 30 benchmark functions of CEC2017 and compared against nearly 50 popular efficient metaheuristic algorithms, and the statistical results confirm the high performance of the ASGO algorith
发表于 2025-3-23 04:18:27 | 显示全部楼层
Rakesh Baruahdded before the convolutional layer of the CRNN to correct the image. Public images on Github and official images of Tianjin Port were used to generate samples through DCGAN network, and their data were enhanced. The obtained 6961 container number images were used as data sets to train the improved
发表于 2025-3-23 09:35:00 | 显示全部楼层
Rakesh Baruahly extract meta-paths from event graphs by assessing the information richness within the graph. We consider the concatenation of structural and semantic representations of each event node in the event graph as its overall representation, conducting event-type prediction through classification and cl
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