Abstract
While Direct Visual Odometry (VO) methods have been shown to outperform feature-based ones in terms of accuracy and processing time, their optimization is sensitive to the initialization pose typically seeded from heuristic motion models. In real-life applications, the motion of a hand-held or head-mounted camera is predominantly erratic, thereby violating the motion models used, causing large baselines between the initializing pose and the actual pose, which in turn negatively impacts the VO performance.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
