3D Morphable Face Models – Past, Present and Future

09/03/2019
by   Bernhard Egger, et al.
0

In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, namely capture, modeling, image formation, and image analysis, are still active research topics, and we review the state-of-the-art in each of these areas. We also look ahead, identifying unsolved challenges, proposing directions for future research and highlighting the broad range of current and future applications.

READ FULL TEXT

page 1

page 4

page 13

page 20

page 23

page 24

page 27

research
08/25/2021

3D Face Recognition: A Survey

Face recognition is one of the most studied research topics in the commu...
research
09/20/2018

Challenges for Toxic Comment Classification: An In-Depth Error Analysis

Toxic comment classification has become an active research field with ma...
research
02/26/2020

Bayesian Nonparametric Space Partitions: A Survey

Bayesian nonparametric space partition (BNSP) models provide a variety o...
research
08/15/2016

Face Alignment In-the-Wild: A Survey

Over the last two decades, face alignment or localizing fiducial facial ...
research
08/14/2023

An Outlook into the Future of Egocentric Vision

What will the future be? We wonder! In this survey, we explore the gap b...
research
03/22/2023

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions

Deep learning has seen rapid growth in recent years and achieved state-o...
research
02/19/2019

Cybercrime Investigators are Users Too! Understanding the Socio-Technical Challenges Faced by Law Enforcement

Cybercrime investigators face numerous challenges when policing online c...

Please sign up or login with your details

Forgot password? Click here to reset