Title :
Point correspondence matching for 3D reconstruction using fuzzy reasoning
Author :
Varkonyi-Koczy, Annamaria R. ; Rövid, András
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary
Abstract :
In computer vision image point correspondence matching plays an important role. Some of the methods from the field of stereo vision can be automatized using point correspondence matching algorithms. This paper presents a method for quickly and reliably selecting and matching of the most interesting image points (feature points).
Keywords :
computer vision; fuzzy reasoning; image matching; image reconstruction; stereo image processing; 3D reconstruction; computer vision image; fuzzy reasoning; point correspondence matching; stereo vision; Application software; Computer vision; Data mining; Environmental economics; Fuzzy reasoning; Image reconstruction; Information systems; Photometry; Pixel; Stereo vision;
Conference_Titel :
Computational Cybernetics, 2005. ICCC 2005. IEEE 3rd International Conference on
Print_ISBN :
0-7803-9122-5
DOI :
10.1109/ICCCYB.2005.1511554
