scholarly journals Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map

Author(s):  
Diego R. Faria ◽  
Ricardo Martins ◽  
Jorge Dias
Author(s):  
Yasser Ebrahim ◽  
Maher Ahmed ◽  
Siu-Cheung Chau ◽  
Wegdan Abdelsalam

Author(s):  
Kevin Karsch ◽  
Zicheng Liao ◽  
Jason Rock ◽  
Jonathan T. Barron ◽  
Derek Hoiem

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.


Author(s):  
Alexey Ruchay ◽  
Anastasia Kober ◽  
Vsevolod Kalschikov ◽  
Konstantin Dorofeev ◽  
Vladimir Kolpakov

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