Features detection and matching for visual simultaneous localization and mapping (VSLAM)

Abdul Kadir, Herdawatie and Arshad, Mohd Rizal (2013) Features detection and matching for visual simultaneous localization and mapping (VSLAM). In: 2013 IEEE International Conference on Control System, Computing and Engineering (ICCSCE 2013) , 29 November – 1 December 2013, Penang, Malaysia .

[img]
Preview
PDF
1309Kb

Abstract

This paper presents the feature detection method for aerial image. The image captured from the navigation was used to select the best landmarks for localization and mapping in SLAM. A robust visual detection method has contributed to better landmark and data association selection. Therefore, different feature detection algorithms were compared to evaluate the best landmark detector and descriptor for the VSLAM. The performances of the feature detectors were evaluated using dataset provided by the Robotics Research Group at University of Oxford. The local images of matching effect on the detector and descriptor have proved the correctness of key point matching. The selected method has been validated and proven efficient for the VSLAM.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:VSLAM; feature detection; SIFT; matching; detector
Subjects:T Technology > TR Photography
Divisions:Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
ID Code:4772
Deposited By:Normajihan Abd. Rahman
Deposited On:23 Sep 2014 12:04
Last Modified:23 Sep 2014 12:04

Repository Staff Only: item control page