Matching 2.5D face scans to 3D models

• Published in: IEEE transactions on pattern analysis and machine intelligence Vol. 28; no. 1; pp. 31 - 43
• Main Authors: Xiaoguang Lu, Jain, A.K., Colbry, D.
• Format: Journal Article
• Language: English
• Published: Los Alamitos, CA IEEE 01.01.2006; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D model; Algorithms; appearance-based; Applied sciences; Artificial Intelligence; Biometry - methods; Computer science; control theory; systems; Engines; Exact sciences and technology; Face - anatomy & histology; Face recognition; Galleries; Humans; Illumination; Image analysis; Image Interpretation, Computer-Assisted - methods; Image matching; Imaging, Three-Dimensional - methods; Independent component analysis; Index Terms- Face recognition; Iterative algorithms; Iterative closest point algorithm; Lighting; Matching; multimodal; Pattern Recognition, Automated - methods; Pattern recognition. Digital image processing. Computational geometry; Photogrammetry - methods; Photography - methods; Reproducibility of Results; Robustness; Sensitivity and Specificity; Shape; Studies; Subtraction Technique; Surface matching; Texture; Three dimensional; Image texture; Discriminant analysis; Face recognition; Image processing; Image databank; 3D model; multimodal; Pattern recognition; appearance-based; surface matching; Three dimensional model; Facies; Tridimensional image; Multimodal interface; Pattern analysis

The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system that utilizes three-dimensional shape information to make the system more robust to arbitrary pose and lighting. For ea...