Paper Info
Title
Three-Dimensional Facial Imaging Using a Static Light Screen (SLS) and a Dynamic Subject
Abstract
Many commercially available 3-D sensors suitable for face image capture employ passive or texture-assisted stereo imaging or structured illumination with a moving light stripe. These techniques require a stationary subject. We describe an initial design and evaluation of a fixed-stripe moving object 3-D scanner designed for human faces. Our method of acquisition requires the subject to walk through a static light screen generated by two laser line projectors. Triangulation and tracking applied to the video sequences captured during subject motion yield a 3-D image of the subject's face from multiple images. To demonstrate the accuracy of our initial design, a small-scale facial recognition experiment was executed. In an experiment involving 81 subjects with four images per subject on the average, we used two gallery images per subject, and we achieved 89.6% rank-one recognition using an iterative closest point (ICP)-based matching method, demonstrating the feasibility of the technique.
Year
DOI
Venue
2010
10.1109/TIM.2009.2037874
IEEE T. Instrumentation and Measurement
Keywords
Field
DocType
face recognition,image matching,image texture,stereo image processing,3D sensors,dynamic subject,fixed-stripe moving object 3D scanner,iterative closest point,laser line projectors,static light screen,texture-assisted stereo imaging,three-dimensional facial imaging,video sequences,Face recognition,face scanner,stereo vision,structured lighting
Computer vision,Facial recognition system,Image sensor,Image texture,Stereopsis,Computer science,Stereo imaging,Triangulation (social science),Scanner,Artificial intelligence,Iterative closest point
Journal
Volume
Issue
ISSN
59
4
0018-9456
Citations 
PageRank 
References 
1
0.39
14
Authors
2
Name
Order
Citations
PageRank
Robert T. McKeon110.39
Patrick J. Flynn24405307.04