Structure-aware viewpoint selection for volume visualization

2009 ◽  
Author(s):  
Yubo Tao ◽  
Hai Lin ◽  
Hujun Bao ◽  
Feng Dong ◽  
Gordon Clapworthy
Keyword(s):  
Volume Visualization ◽  
Viewpoint Selection ◽  
Selection For

Automatic Viewpoint Selection for Exploration of Time-Dependent Cerebral Aneurysm Data

2017 ◽  
pp. 352-357 ◽  
Author(s):  
Monique Meuschke ◽  
Wito Engelke ◽  
Oliver Beuing ◽  
Bernhard Preim ◽  
Kai Lawonn
Keyword(s):  
Cerebral Aneurysm ◽  
Time Dependent ◽  
Viewpoint Selection ◽  
Selection For

Flow-Based Temporal Selection for Interactive Volume Visualization

2016 ◽  
Vol 36 (8) ◽  
pp. 153-165 ◽  
Author(s):  
S. Frey ◽  
T. Ertl
Keyword(s):  
Volume Visualization ◽  
Selection For

scholarly journals Flying Robot Based Viewpoint Selection for the Electricity Transmission Equipment Inspection

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Chang-an Liu ◽  
Rui-fang Dong ◽  
Hua Wu
Keyword(s):  
3D Model ◽  
Scoring Function ◽  
High Quality ◽  
Electricity Transmission ◽  
Viewpoint Selection ◽  
Transmission Equipment ◽  
Selection For ◽  
Flying Robot ◽  
Flying Robots

In the process of inspection for the electricity transmission equipment using flying robots, an automatic way to find the best viewpoint to get the high quality of image would be beneficial to observe the state of the electricity transmission equipment. Finding the best viewpoint belongs to the viewpoint selection problem. A strategy is proposed in this paper to find the best viewpoint for the electricity transmission equipment inspection, according to which the candidate viewpoints can be generated based on the 3D model of the equipment. Then a scoring function is constructed which combines three factors including the amount of the information, the viewing quality, and the visibility of the information to evaluate the quality of the candidate viewpoint. Finally, the best viewpoint can be selected from all of candidate viewpoints according to the scoring function. The proposed algorithm is tested on the experiment to demonstrate its effectiveness.

Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition

2006 ◽  
Author(s):  
F. Deinzer ◽  
C. Derichs ◽  
H. Niemann ◽  
J. Denzler
Keyword(s):  
Object Recognition ◽  
Viewpoint Selection ◽  
Selection For

Viewpoint selection for efficient 3D scanning with a LIDAR

2018 ◽  
Vol 2018 (0) ◽  
pp. 1A1-I01
Author(s):  
Masataka INOUCHI ◽  
Shuji OISHI ◽  
Jun MIURA
Keyword(s):  
3D Scanning ◽  
Viewpoint Selection ◽  
Selection For

scholarly journals Efficient Viewpoint Selection for Urban Texture Documentation

2009 ◽  
pp. 138-148 ◽  
Author(s):  
Houtan Shirani-Mehr ◽  
Farnoush Banaei-Kashani ◽  
Cyrus Shahabi
Keyword(s):  
Viewpoint Selection ◽  
Selection For

Optimal Viewpoint Selection for Texture-based Flow Visualization

2017 ◽  
Vol 29 (12) ◽  
pp. 2282
Author(s):  
Daying Lu ◽  
Dengming Zhu ◽  
Zhaoqi Wang
Keyword(s):  
Flow Visualization ◽  
Viewpoint Selection ◽  
Selection For

scholarly journals Viewpoint: Selection for Improved Drought Response in Cool-Season Grasses

1993 ◽  
Vol 46 (3) ◽  
pp. 194 ◽  
Author(s):  
Douglas A. Johnson ◽  
Kay H. Asay
Keyword(s):  
Drought Response ◽  
Cool Season ◽  
Viewpoint Selection ◽  
Selection For
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