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

A Low Cost and Easy to Use Setup for Foot Scanning

LOVATO, Christian;GIACHETTI, Andrea
2014-01-01

Abstract

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
2014
Inglese
Nessuno
5th International Conference on 3D Body Scanning Technologies
Lugano, Switzerland
21-22 October 2014
internazionale
contributo
9783033047631
365
371
7
3D scanner; 3D Registration; foot
none
Lovato, Christian; E., Bissolo; N., Lanza; A., Stella; Giachetti, Andrea
5
04 Contributo in atti di convegno::04.01 Contributo in atti di convegno
273
info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/814165
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