Authors:
Chaima El Asmi
and
Sébastien Roy
Affiliation:
Département d’Informatique et de Recherche Opérationnelle, Université de Montréal, Montréal (Québec) and Canada
Keyword(s):
Computer Vision, Active Reconstruction, Unstructured Light, Unsynchronized Camera-Projector Systems, Subpixel Accuracy, 3D Scanning.
Related
Ontology
Subjects/Areas/Topics:
Active and Robot Vision
;
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image-Based Modeling
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Software Engineering
Abstract:
This paper proposes to add subpixel accuracy to the unsynchronized unstructured light method while achieving high-speed dense reconstruction without any camera-projector synchronization. This allows scanning faces which is notoriously difficult due to involuntary movements on the part of the model and the reduced possibilities of 3D scanner approaches such as laser scanners because of speed or eye protection. The unsynchronized unstructured light method achieves this with low-cost hardware and at a high capture and projection frame rate (up to 60 fps). The proposed approach proceeds by complementing a discrete binary coded match with a continuous interpolated code which is matched to subpixel precision. This subpixel matching can even correct for erroneous camera-projector correspondences. The obtained results show that highly accurate unfiltered 3D models can be reconstructed even in difficult capture conditions such as indirect illumination, scene discontinuities, or low hardware q
uality.
(More)