Title
A feature points matching method based on window unique property of pseudo-random coded image
Abstract
Proposed a method for object feature points matching used in active machine vision technique. By projecting pseudo-random coded structured light onto the object to add code information, its feature points can be easily identified exclusively taking advantage of the window unique property of pseudo-random array. Then, the 3D coordinates of object both on camera plane and code plane can be obtained by decoding process, which will provide the foundation for further 3D reconstruction. Result of simulation shows that this method is easy to operate, calculation simple and of high matching precision for object feature points matching.
Year
DOI
Venue
2010
10.1007/978-3-642-15597-0_37
LSMS/ICSEE (2)
Keywords
Field
DocType
calculation simple,active machine vision technique,pseudo-random array,code information,feature point,code plane,object feature point,high matching precision,decoding process,window unique property,camera plane,structured light,3d reconstruction,machine vision
Computer vision,Structured light,Machine vision,Pattern recognition,Artificial intelligence,Decoding methods,3d coordinates,Mathematics,Pseudorandom number generator,3D reconstruction
Conference
Volume
ISSN
ISBN
6329
0302-9743
3-642-15596-0
Citations 
PageRank 
References 
0
0.34
4
Authors
5
Name
Order
Citations
PageRank
Hui Chen141.50
Shiwei Ma213621.79
Hao Zhang3538.61
Zhonghua Hao422.41
Junfeng Qian500.34