Methods of 3D Object Shape Acquisition

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):  
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):  
Chunsheng Yu ◽  
Lushen Wu ◽  
Qingjin Peng

Three-dimensional (3D) shape modeling is one of the most fundamental processes in CAD/CAM systems. There is a variety of methods to build 3D shapes for product design and manufacturing. The methods include defining a 3D object using solid or feature modeling methods, or building a 3D shape of the existing object using reverse engineering techniques. Image-based shape recovery techniques provide effective tools in reverse engineering to acquire 3D data of objects. This paper reports a simple method to reconstruct a 3D object from its 2D (two-dimensional) image for the product modeling. A method based on FTP (Fourier Transform Profilometry) phase analysis is proposed to measure the 3D surface of an object. The comparison of the FTP method with other methods is discussed and the process of the FTP method is provided. The experiment shows the accuracy and speed of the method.


2021 ◽  
Vol 423 ◽  
pp. 407-418
Author(s):  
Bo Peng ◽  
Wei Wang ◽  
Jing Dong ◽  
Tieniu Tan

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

Author(s):  
G. P. Lourantos ◽  
F. Kirchheimer ◽  
H. Koitka

Sign in / Sign up

Export Citation Format

Share Document