Search Results for author: Erroll Wood

Found 9 papers, 1 papers with code

A high fidelity synthetic face framework for computer vision

no code implementations16 Jul 2020 Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, Jamie Shotton

Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition among others.

Face Model Face Recognition +2

Advancing Non-Contact Vital Sign Measurement using Synthetic Avatars

no code implementations24 Oct 2020 Daniel McDuff, Javier Hernandez, Erroll Wood, Xin Liu, Tadas Baltrusaitis

Non-contact physiological measurement has the potential to provide low-cost, non-invasive health monitoring.

Synthetic Data for Multi-Parameter Camera-Based Physiological Sensing

no code implementations10 Oct 2021 Daniel McDuff, Xin Liu, Javier Hernandez, Erroll Wood, Tadas Baltrusaitis

We present systematic experiments showing how physiologically-grounded synthetic data can be used in training camera-based multi-parameter cardiopulmonary sensing.

Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces

no code implementations5 Oct 2022 Chirag Raman, Charlie Hewitt, Erroll Wood, Tadas Baltrusaitis

Recent advances in synthesizing realistic faces have shown that synthetic training data can replace real data for various face-related computer vision tasks.

Procedural Humans for Computer Vision

no code implementations3 Jan 2023 Charlie Hewitt, Tadas Baltrušaitis, Erroll Wood, Lohit Petikam, Louis Florentin, Hanz Cuevas Velasquez

Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction.

Autonomous Driving

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