View planning for automated three-dimensional object reconstruction and inspection

By William R. Scott, Gerhard Roth, Jean-François Rivest. ACM Computing Surveys, 2003

514 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Geology, Instrumentation

View Paper: https://www.semanticscholar.org/paper/0559a78eb4428a097f7b1baf535b0a01cea05e29

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Charles Ruizhongtai Qi
2. Matthias Nießner
3. Leonidas J. Guibas
4. Shuran Song
5. Andreas Geiger
6. Fisher Yu
7. Jianxiong Xiao
8. Thomas A. Funkhouser

In Geology

1. Jianxiong Xiao
2. Shuran Song
3. Youfu Li
4. Zhirong Wu
5. Fisher Yu
6. Xiaoou Tang
7. Leonidas J. Guibas
8. Sergey I. Nikolenko

Citations in the corpus

• 3 D ShapeNets : A Deep Representation for Volumetric Shape Modeling (2015, methodology): “Therefore, the Next-Best-View problem [25] of doing view planning based on current observation arises.”
• Active vision in robotic systems: A survey of recent developments (2011, background): “…from multiple range images (Zhang et al. 2000); 6. review and comparison of view planning techniques for 3D object reconstruction and inspection (Scott et al. 2003); 7. review of free-form surface inspection techniques (Li and Gu 2004); 8. review of active recognition through next view planning…”