Search Results for author: Charlie Hewitt

Found 9 papers, 3 papers with code

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

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.

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

Shape-only Features for Plant Leaf Identification

no code implementations20 Nov 2018 Charlie Hewitt, Marwa Mahmoud

This paper presents a novel feature set for shape-only leaf identification motivated by real-world, mobile deployment.

General Classification

CNN-based Facial Affect Analysis on Mobile Devices

2 code implementations23 Jul 2018 Charlie Hewitt, Hatice Gunes

Our results show that the proposed architectures retain similar performance to the dataset baseline while minimising storage requirements: achieving 58% accuracy for eight-class emotion classification and average RMSE of 0. 39 for valence/arousal prediction.

Human-Computer Interaction

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