We present a low cost acquisition setup for the accurate reconstruction of feet and shoe lasts geometry. It is based on the use of a single close range depth sensor (Primesense Carmine 1.09) that is moved around the object using a PC-controlled mobile robot. The mobile robot is built using a simple electric car constrained to move in a circular guide and controlled by an Arduino Uno board allowing the custom software to control the engine's speed. In the acquisition phase multiple point clouds are captured and registered in a common reference frame. The vehicle trajectory has been designed to maximize the reconstruction accuracy and robustness against changes in the scene illumination. Registered point clouds are filtered in order to remove the floor, reduce the noise and refine the alignment, and are finally merged in an unique simplified cloud that can be triangulated with standard techniques. The resulting foot model is then aligned in a standard way and segmented identifying relevant landmarks for measurement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.