作者: L. M. Galantucci , R. Ferrandes , G. Percoco
DOI: 10.1115/1.2356499
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摘要: In this paper, the authors present a biometric low-cost 3D acquisition system, based on digital photogrammetry technique. The aim of work is to analyze suitability system for facial recognition purposes. data set 20 people were acquired with photogrammetric developed by authors, and different CAD models reconstructed each person. results are quantified aligning calculating mean distances standard deviations between them using two methods. former considers entire face; latter few fiducial points face.