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Face localization and authentication using color and depth images (2005)
| Content Provider | CiteSeerX |
|---|---|
| Author | Tsalakanidou, Filareti Malassiotis, Sotiris Strintzis, Michael G. |
| Abstract | Abstract—This paper 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. Index Terms—Depth maps, embedded hidden Markov models, face authentication, face localization, face recognition, fusion, illumination, pose, synthetical views. I. |
| File Format | |
| Journal | IEEE Trans. Image Process |
| Language | English |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Face Localization Depth Image Color Image Face Authentication Illumination Variation Intensity Information Low-cost 3-d Sensor Significant Size Face Database Face Pose Alteration Complete Face Authentication System Robust Face Detection Distinct Face Database Background Clutter Harsh Illumination Hidden Markov Model Range Data Synthetical View Novel Algorithm Face Recognition Significant Gain Depth Information Index Term Depth Map Real-time Acquisition Experimental Result Authentication Scheme |
| Content Type | Text |
| Resource Type | Article |
