Title :
Performance evaluation of feature detection and feature matching for stereo visual odometry using SIFT and SURF
Author :
Suaib, Norhayati Mohd ; Marhaban, Mohammad Hamiruce ; Saripan, M. Iqbal ; Ahmad, Siti Anom
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
Feature detection and feature matching are the most crucial parts in visual odometry process. In order to suit the real time process in visual odometry, both of the stages must be robust but at the same time are fast to compute. This paper presents the evaluation of Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Feature (SURF) performances. The results show that SURF is outperform than SIFT in term of rate of matched points and also in computational time.
Keywords :
distance measurement; feature extraction; image matching; stereo image processing; transforms; SIFT; SURF; feature detection; feature matching; performance evaluation; real time process; scale invariant feature transform; speeded up robust feature performances; stereo visual odometry process; Cameras; Detectors; Feature extraction; Performance evaluation; Robots; Robustness; Visualization; SIFT; SURF; feature detection; feature matching; visual odometry;
Conference_Titel :
Region 10 Symposium, 2014 IEEE
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2028-0
DOI :
10.1109/TENCONSpring.2014.6863025
