Hand Pose Estimation
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My PhD research is focused on improving interaction with computers through the use of hand gestures. Many recent advancements in the capture of depth images has allowed development in determining the pose of the hand.
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Multi-touchlessmaking SENSE |
Guided Optimisation using Physics |
Multi-touchless |
Publications
Philip Krejov, Andrew Gilbert, Richard Bowden
Guided Optimisation through Classification and Regression for Hand Pose Estimation.
In Computer Vision and Image Understanding, Elsevier, 2016.
Download: [bib] [pdf]
Guided Optimisation through Classification and Regression for Hand Pose Estimation.
In Computer Vision and Image Understanding, Elsevier, 2016.
Download: [bib] [pdf]
Philip Krejov, Andrew Gilbert, Richard Bowden
Combining Discriminative and Model Based Approaches for Hand Pose Estimation.
In International Conference on Automatic Face and Gesture Recognition, IEEE, 2015.
Download: (Corrected Labels) [bib] [pdf]
Combining Discriminative and Model Based Approaches for Hand Pose Estimation.
In International Conference on Automatic Face and Gesture Recognition, IEEE, 2015.
Download: (Corrected Labels) [bib] [pdf]
Philip Krejov, Andrew Gilbert, Richard Bowden
Multi-Touchless Interfaces: Interacting beyond the screen.
In IEEE Computer Graphics and Applications, CG&A, Vol 34(3), 2014, pp40-48..
Download: [bib] [pdf] Project page
Multi-Touchless Interfaces: Interacting beyond the screen.
In IEEE Computer Graphics and Applications, CG&A, Vol 34(3), 2014, pp40-48..
Download: [bib] [pdf] Project page
Philip Krejov, Richard Bowden
Multi-touchless: Real-Time Fingertip Detection and Tracking Using Geodesic Maxima
In International Conference on Automatic Face and Gesture Recognition, IEEE, pp. 7, 2013.
Download: (dataset) [bib] [pdf] Project page
Multi-touchless: Real-Time Fingertip Detection and Tracking Using Geodesic Maxima
In International Conference on Automatic Face and Gesture Recognition, IEEE, pp. 7, 2013.
Download: (dataset) [bib] [pdf] Project page
