Face localization and authentication using color and depth images

This work presents a complete face authentication system integrating both two-dimensional (color or intensity) and three-dimensional (3-D) range data, based on a low-cost 3-D sensor, capable of real-time acquisition of 3-D and color images. Novel algorithms are proposed that exploit depth informatio...

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Bibliographic Details
Published in:IEEE transactions on image processing 2005-02, Vol.14 (2), p.152-168
Main Authors: Tsalakanidou, F., Malassiotis, S., Strintzis, M.G.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial Intelligence
Authentication
Cluster Analysis
Color
Depth maps
embedded hidden Markov models
Exact sciences and technology
Face - anatomy & histology
face authentication
Face detection
face localization
face recognition
fusion
Hidden Markov models
Humans
illumination
Image databases
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image sensors
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods
Information, signal and communications theory
Lighting
Numerical Analysis, Computer-Assisted
Patient Identification Systems - methods
Pattern Recognition, Automated - methods
Photogrammetry - methods
pose
Real time systems
Reproducibility of Results
Robustness
Security Measures
Sensitivity and Specificity
Sensor systems
Signal processing
Signal Processing, Computer-Assisted
Subtraction Technique
synthetical views
Telecommunications and information theory
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Summary:This work presents a complete face authentication system integrating both two-dimensional (color or intensity) and three-dimensional (3-D) range data, based on a low-cost 3-D sensor, capable of real-time acquisition of 3-D and color images. Novel algorithms are proposed that exploit depth information to achieve robust face detection and localization under conditions of background clutter, occlusion, face pose alteration, and harsh illumination. The well-known embedded hidden Markov model technique for face authentication is applied to depth maps and color images. To cope with pose and illumination variations, the enrichment of face databases with synthetically generated views is proposed. The performance of the proposed authentication scheme is tested thoroughly on two distinct face databases of significant size. Experimental results demonstrate significant gains resulting from the combined use of depth and color or intensity information.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2004.840714