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2014
Journal Article
Titel
Handheld 3-D scanning with automatic multi-view registration based on visual-inertial navigation
Abstract
In this article an approach to a mobile 3-D handheld scanner with additional sensory information is proposed. It fully automatically builds a multi-view 3-D scan. Conventionally complex post processing or expensive position trackers are used to realize such a process. Therefore a combination of a visual and inertial motion tracking system is developed to deal with the position tracking. Both sensors are integrated into the 3-D scanner and their data are fused for robustness during swift scanner movements and for long term stability. This article presents an overview over the system architecture, the navigation process, surface registration aspects, and measurement results.
Author(s)