Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105548
| Title: | 3D geology scene exploring base on hand-track somatic interaction | Authors: | Zhang, W Zhu, F Lu, P Li, P Sheng, B Mao, L |
Issue Date: | 2020 | Source: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2020, v. 12221, p. 364-373 | Abstract: | Terrain analysis is the basis of geological research. However, due to factors such as distance and range, it is often difficult to study the terrain environment in the field. Therefore, researchers can observe and study the terrain by making a three-dimensional terrain model. The 3D terrain model can reduce the terrain range, eliminate the limitation on distance, and control the scene through program interface, to achieve human-computer interaction to meet different research needs. The usual human-computer interaction methods are implemented through traditional peripherals such as the mouse and keyboard. With the rapid development of computer network technology and the continuous improvement of intelligent software and hardware, people have greater requirements for interactive manipulation and immersion. This article proposes a method for displaying terrain models based on real-sensing technology by using Intel’s RealSense camera to control the scene of the desert model through gestures. The user can observe the model from two different perspectives, and use different gestures to zoom in, zoom out, move, and rotate the scene, as well as choose some options. The traditional method of controlling by mouse is also applicable. The entire project is designed as a game, with a realistic and complete model, an exquisite interface, and strong interactivity. | Keywords: | 3D Scene Depth camera Gesture sensing Hand track RealSense Somatosensory Unity |
Publisher: | Springer | Journal: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) | ISBN: | 978-3-030-61863-6 978-3-030-61864-3 (eBook) |
ISSN: | 0302-9743 | EISSN: | 1611-3349 | DOI: | 10.1007/978-3-030-61864-3_30 | Description: | 37th Computer Graphics International Conference, CGI 2020, Geneva, Switzerland, October 20-23, 2020 | Rights: | © Springer Nature Switzerland AG 2020 This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-61864-3_30. |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Li_3D_Geology_Scene.pdf | Pre-Published version | 3.07 MB | Adobe PDF | View/Open |
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