Model retrieval based on flattened-surface shape comparing in 3D object databases

Author(s):  
Guisheng Yin ◽  
Huaiyou Chen ◽  
Jing Zhang ◽  
Yonghseng Cai
2013 ◽  
pp. 473-497
Author(s):  
Pavel Zemcik ◽  
Michal Spanel ◽  
Premysl Krsek ◽  
Miloslav Richter

This chapter contains an overview of methods for a 3D object shape from both the surface and the internal structure of the objects. The acquisition methods of interest are optical methods based on objects surface image processing and CT/NMR sensors that explore the object volume structure. The chapter also describes some methods for 3D shape processing. The focus is on 3D surface shape acquisition methods based on multiple views, methods using single view video sequences, and methods that use a single view with a controlled light source. In addition, the volume methods represented by CT/NMR are covered as well. A set of algorithms suitable for the acquired 3D data processing and simplification are shown to demonstrate how the models data can be processed. Finally, the chapter discusses future directions and then draws conclusions.


2020 ◽  
Vol 402 ◽  
pp. 336-345
Author(s):  
Xuzhan Chen ◽  
Youping Chen ◽  
Homayoun Najjaran

Author(s):  
Pavel Zemcik ◽  
Michal Spanel ◽  
Premysl Krsek ◽  
Miloslav Richter

This chapter contains an overview of methods for a 3D object shape from both the surface and the internal structure of the objects. The acquisition methods of interest are optical methods based on objects surface image processing and CT/NMR sensors that explore the object volume structure. The chapter also describes some methods for 3D shape processing. The focus is on 3D surface shape acquisition methods based on multiple views, methods using single view video sequences, and methods that use a single view with a controlled light source. In addition, the volume methods represented by CT/NMR are covered as well. A set of algorithms suitable for the acquired 3D data processing and simplification are shown to demonstrate how the models data can be processed. Finally, the chapter discusses future directions and then draws conclusions.


2005 ◽  
Vol 37 (4) ◽  
pp. 345-387 ◽  
Author(s):  
Benjamin Bustos ◽  
Daniel A. Keim ◽  
Dietmar Saupe ◽  
Tobias Schreck ◽  
Dejan V. Vranić

2010 ◽  
Vol 19 (5) ◽  
pp. 603-632 ◽  
Author(s):  
Mohammed Eunus Ali ◽  
Egemen Tanin ◽  
Rui Zhang ◽  
Lars Kulik

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