Title :
A new method for recognition of 3D object
Author :
Sun, Jian ; Zhou, Fengqi ; Zhou, Jun
Author_Institution :
Northwestern Polytech. Univ., Xi´´an
Abstract :
Recognition of 3D object is a very important task in computer vision. The traditional 3D object recognition method is using the projective invariant which can be derived from a complicated space geometric model. In this paper, a new simple space geometric model was proposed, which is a combination of four points and a vector, and the relation between the 3D affine invariants and 2D affine invariants was calculated. Employing the relation the object can be recognized from single view without the attitude of object and the parameter of the camera. We apply the method to the real image
Keywords :
computer vision; object recognition; 2D affine invariants; 3D affine invariants; 3D object recognition; camera; computer vision; projective invariant; real image; space geometric model; Cameras; Computational geometry; Computer vision; Equations; Image recognition; Object recognition; Shape; Solid modeling; Sun; Vectors;
Conference_Titel :
Systems and Control in Aerospace and Astronautics, 2006. ISSCAA 2006. 1st International Symposium on
Conference_Location :
Harbin
Print_ISBN :
0-7803-9395-3
DOI :
10.1109/ISSCAA.2006.1627667