| LDR | | 02575nmm uu200469 4500 |
| 001 | | 000000333291 |
| 005 | | 20240805172744 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438047976 |
| 035 | |
▼a (MiAaPQ)AAI10815810 |
| 035 | |
▼a (MiAaPQ)princeton:12529 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Fan, Xinyi. |
| 245 | 10 |
▼a View and Path Planning for Scaling 3D Acquisition to Many Objects. |
| 260 | |
▼a [S.l.] :
▼b Princeton University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 108 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Szymon M. Rusinkiewicz. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Princeton University, 2018. |
| 520 | |
▼a Demand for high-volume 3D scanning of real objects is rapidly growing in a wide range of applications, including quality-control for manufacturing, online retailing, entertainment with virtual reality, as well as archaeological documentation and |
| 520 | |
▼a This dissertation focuses on studying practical 3D acquisition for large numbers of objects. The problem is challenging because it is hard to automatically find a proper set of scanner views that cannot only completely cover the surface of multi |
| 520 | |
▼a We propose a prototype system for multi-object 3D acquisition, which allows non- expert users to scan large numbers of physical objects within a reasonable amount of time, and with greater ease. Our system uses novel planning algorithms to contr |
| 520 | |
▼a We propose an objective function for automated view and path planning, taking into account both accuracy and efficiency of the scanning system. We analyze different approaches to optimize for the objective and discuss their performance and pract |
| 520 | |
▼a In addition, we address the problem of surface inaccessibility to further refine our multi-object 3D acquisition system. We explore solutions for improvement from both the hardware and software end. |
| 590 | |
▼a School code: 0181. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Computer engineering. |
| 650 | 4 |
▼a Robotics. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0464 |
| 690 | |
▼a 0771 |
| 710 | 20 |
▼a Princeton University.
▼b Electrical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0181 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998203
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |