國立虎尾科技大學 |

On 3D Content Manipulation: Simplification, Modification and Authentication.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	On 3D Content Manipulation: Simplification, Modification and Authentication./
Author:	Bahirat, Kanchan Anil.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	228 p.
Notes:	Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.
Contained By:	Dissertation Abstracts International80-08B(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13849137
ISBN:	9780438962651

On 3D Content Manipulation: Simplification, Modification and Authentication.
Bahirat, Kanchan Anil.

On 3D Content Manipulation: Simplification, Modification and Authentication. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 228 p.

Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.

Thesis (Ph.D.)--The University of Texas at Dallas, 2018.

With the rapid development in the area of computer graphics and depth sensing technologies, various tools have emerged for 3D content creation such as RGB-D cameras (e.g., Microsoft Kinect, RealSense), LiDAR sensors, CAD tools etc. By employing these tools, creating and refining the 3D data has become viable which in result has enabled numerous mixed-reality applications in the domain of healthcare, virtual training, collaborative visualization, vehicle automation and crime scene reconstruction. Although the 3D data finds application in diverse areas, deploying an immense 3D content across various platforms is still challenging. Besides, due to applicability in sensitive areas, scrutinizing the vulnerability of 3D data has also become crucial. Motivated by these challenges, this dissertation presents a set of novel approaches for 3D content manipulation mainly focusing on making it effective across different platforms and reliable for various sensitive applications.

ISBN: 9780438962651Subjects--Topical Terms:

573171
Computer science.

On 3D Content Manipulation: Simplification, Modification and Authentication.
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300 $a 228 p.
500 $a Source: Dissertation Abstracts International, Volume: 80-08(E), Section: B.
500 $a Adviser: Balakrishnan Prabhakaran.
502 $a Thesis (Ph.D.)--The University of Texas at Dallas, 2018.
520 $a With the rapid development in the area of computer graphics and depth sensing technologies, various tools have emerged for 3D content creation such as RGB-D cameras (e.g., Microsoft Kinect, RealSense), LiDAR sensors, CAD tools etc. By employing these tools, creating and refining the 3D data has become viable which in result has enabled numerous mixed-reality applications in the domain of healthcare, virtual training, collaborative visualization, vehicle automation and crime scene reconstruction. Although the 3D data finds application in diverse areas, deploying an immense 3D content across various platforms is still challenging. Besides, due to applicability in sensitive areas, scrutinizing the vulnerability of 3D data has also become crucial. Motivated by these challenges, this dissertation presents a set of novel approaches for 3D content manipulation mainly focusing on making it effective across different platforms and reliable for various sensitive applications.
520 $a Specifically, I have considered three research tasks. The first task focuses on "3D content simplification for multi-platform rendering " that includes 1) designing a high-fidelity mesh simplification algorithm QEM4V R enabling mobile virtual reality (VR) and 2) a real-time curvature sensitive surface simplification CS3 using depth images. Among these, QEM4V R applies curvature based boundary preservation for generating a high-fidelity, low-poly version of 3D meshes in an offline manner. While CS3 provides a real-time, curvature adaptive surface simplification from depth images for enabling mixed reality applications. We also studied the utilization of objective perceptual quality metrics to evaluate 3D mesh simplification algorithms that motivates us to formulate a Just Noticeable Difference based subjective analysis.
520 $a The second task is aimed at "3D content modification for virtual therapies" that explores the applicability of 3D data in managing phantom pain as well as for a virtual enhancement providing the positive reinforcement during virtual therapy. Mixed reality-based framework developed for managing phantom pain (Mr.MAPP) creates a realistic and effective illusion of a phantom limb in case of both upper and lower limb amputation. The system is evaluated by subject matter experts (SMEs) and has been enhanced for conducting the patient trial.
520 $a The last task is "3D content authentication for secure usage" by performing thorough studies on 3D data forensics for both long and short range sensors such as LiDAR and Microsoft Kinect respectively. Keeping the application of 3D data in self-driving cars, we also propose a framework, ALERT (Authentication, Localization, and Estimation of Risks and Threats), as a secure layer in the decision support system in the navigation control of vehicles and robots. Various experimental results demonstrate the effectiveness of the proposed ALERT for ADAS (Advanced Driver Assistance System).
590 $a School code: 0382.
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710 2 $a The University of Texas at Dallas. $b Computer Science. $3 1182545
773 0 $t Dissertation Abstracts International $g 80-08B(E).
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