Matching 2.5D Face Scans to 3D Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition
Computer Vision and Image Understanding
Three-dimensional view-invariant face recognition using a hierarchical pose-normalization strategy
Machine Vision and Applications
3D face authentication by mutual coupled 3D and 2D feature extraction
Proceedings of the 44th annual Southeast regional conference
IEEE Transactions on Pattern Analysis and Machine Intelligence
2D and 3D face recognition: A survey
Pattern Recognition Letters
Automatic face authentication with self compensation
Image and Vision Computing
Using multi-instance enrollment to improve performance of 3D face recognition
Computer Vision and Image Understanding
A multimodal approach for 3D face modeling and recognition using 3D deformable facial mask
Machine Vision and Applications
3D Signatures for Fast 3D Face Recognition
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A filled function method applied to nonsmooth constrained global optimization
Journal of Computational and Applied Mathematics
A one-parameter filled function method applied to nonsmooth constrained global optimization
Computers & Mathematics with Applications
3D face recognition using depth-based features
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Discriminating 3D faces by statistics of depth differences
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
3D curvature-based shape descriptors for face segmentation: an anatomical-based analysis
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Journal of Computational Physics
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Automatic 3d face feature points extraction with spin images
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Performance evaluation and prediction for 3d ear recognition
AVBPA'05 Proceedings of the 5th international conference on Audio- and Video-Based Biometric Person Authentication
3D face matching using the surface interpenetration measure
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Spatial approach to pose variations in face verification
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Learning effective intrinsic features to boost 3d-based face recognition
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
An efficient 3D face recognition approach using local geometrical signatures
Pattern Recognition
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The performance of face recognition systems that use two-dimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. We are developing a multi-view face recognition system that utilizes three-dimensional (3D) information about the face to make the system more robust to these variations. This paper describes a procedure for constructing a database of 3D face models and matching this database to 2.5D face scans which are captured from different views, using coordinate system invariant properties of the facial surface. 2.5D is a simplified 3D (x, y, z) surface representation that contains at most one depth value (z direction) for every point in the (x, y) plane. A robust similarity metric is defined for matching, based on an Iterative Closest Point (ICP) registration process. Results are given for matching a database of 18 3D face models with 113 2.5D face scans.