Title :
A new method for quadratic curve detection using K-RANSAC with acceleration techniques
Author :
Cheng, Yu Chin ; Lee, Samuel C.
Author_Institution :
Dept. of Electron. Eng., Nat. Taiwan Inst. of Technol., Taipei, Taiwan
Abstract :
Aiming at improving the success rate of the original RANSAC paradigm in the context of curve detection, a new method for quadratic curve detection called K-RANSAC has been proposed. Acceleration techniques based on the geometric properties of the quadratic curves and random pre-sampling are utilized for speeding up the computation
Keywords :
computational complexity; curve fitting; image recognition; K-RANSAC; acceleration techniques; geometric properties; quadratic curve detection; random presampling; success rate; Acceleration; Object detection; Terminology; Testing;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344861
