3D Face Modeling, Analysis and Recognition

This text presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications.  The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application scenarios expected as the discipline develops further.

• Covers a wide range of applications including biometrics, 3D animation, facial surgery, forensics, and video communications.
• Contains numerous exercises and algorithms.

• Covers the fundamentals and methodologies of 3D face analysis
• Includes a section specifically on applications, making the book of interest to both those in research and industry.
• Brings together information currently available in disparate sources in a much-needed comprehensive textbook.
• All methods are tested on FRGC or subsets of FRGC datasets, allowing a comparison on a single dataset
• A companion website hosts updates, information on relevant databases, and demonstrations.