A Method for Enforcing Integrability in Shape from Shading Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface shape and curvature scales
Image and Vision Computing
Facial performance synthesis using deformation-driven polynomial displacement maps
ACM SIGGRAPH Asia 2008 papers
Parallel Computing Experiences with CUDA
IEEE Micro
Description of interest regions with local binary patterns
Pattern Recognition
Fourier Analysis of the 2D Screened Poisson Equation for Gradient Domain Problems
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
3D face reconstructions from photometric stereo using near infrared and visible light
Computer Vision and Image Understanding
Single-shot photometric stereo by spectral multiplexing
ACM SIGGRAPH ASIA 2010 Sketches
Fast Almost-Gaussian Filtering
DICTA '10 Proceedings of the 2010 International Conference on Digital Image Computing: Techniques and Applications
Markerless reconstruction and synthesis of dynamic facial expressions
Computer Vision and Image Understanding
Head-Mounted Photometric Stereo for Performance Capture
CVMP '11 Proceedings of the 2011 Conference for Visual Media Production
What is the range of surface reconstructions from a gradient field?
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Self-calibrated, Multi-spectral Photometric Stereo for 3D Face Capture
International Journal of Computer Vision
A robust multi-scale integration method to obtain the depth from gradient maps
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance models for asynchronous data transfers on consumer Graphics Processing Units
Journal of Parallel and Distributed Computing
Color photometric stereo for multicolored surfaces
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Surface enhancement using real-time photometric stereo and reflectance transformation
EGSR'06 Proceedings of the 17th Eurographics conference on Rendering Techniques
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Existing face imaging systems are not suitable to meet the face representation and recognition demands for emerging applications in areas such as interactive gaming, enhanced learning environments and directed advertising. This is mainly due to the poor capture and characterisation of facial data that compromises their spatial and temporal precision. For emerging applications it is not only necessary to have a high level of precision for the representation of facial data, but also to characterise dynamic faces as naturally as possible and in a timely manner. This study proposes a new framework for capturing and recovering dynamic facial information in real-time at significantly high order of spatial and temporal accuracy to capture and model subtle facial changes for enhanced realism in 3D face visualisation and higher precision for face recognition applications. We also present a novel, fast, and robust correspondence mapping approach for 3D registration of moving 3D faces.