T
Toby Sharp
Researcher at Microsoft
Publications - 55
Citations - 11547
Toby Sharp is an academic researcher from Microsoft. The author has contributed to research in topics: Decision tree & Rendering (computer graphics). The author has an hindex of 27, co-authored 54 publications receiving 10774 citations. Previous affiliations of Toby Sharp include University of Nottingham.
Papers
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Proceedings ArticleDOI
Real-time human pose recognition in parts from single depth images
Jamie Shotton,Andrew Fitzgibbon,Mat Cook,Toby Sharp,Mark J. Finocchio,Richard E. Moore,Alex Aben-Athar Kipman,Andrew Blake +7 more
TL;DR: This work takes an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem, and generates confidence-scored 3D proposals of several body joints by reprojecting the classification result and finding local modes.
Journal ArticleDOI
Real-time human pose recognition in parts from single depth images
Jamie Shotton,Toby Sharp,Alex Aben-Athar Kipman,Andrew Fitzgibbon,Mark J. Finocchio,Andrew Blake,Mat Cook,Richard Moore +7 more
TL;DR: This work takes an object recognition approach, designing an intermediate body parts representation that maps the difficult pose estimation problem into a simpler per-pixel classification problem, and generates confidence-scored 3D proposals of several body joints by reprojecting the classification result and finding local modes.
Journal ArticleDOI
Efficient Human Pose Estimation from Single Depth Images
Jamie Shotton,Ross Girshick,Andrew Fitzgibbon,Toby Sharp,Mat Cook,Mark J. Finocchio,Richard Moore,Pushmeet Kohli,Antonio Criminisi,Alex Aben-Athar Kipman,Andrew Blake +10 more
TL;DR: Two new approaches to human pose estimation are described, both of which can quickly and accurately predict the 3D positions of body joints from a single depth image without using any temporal information.
Proceedings ArticleDOI
Accurate, Robust, and Flexible Real-time Hand Tracking
Toby Sharp,Cem Keskin,Duncan Robertson,Jonathan Taylor,Jamie Shotton,David Kim,Christoph Rhemann,Ido Leichter,Alon Vinnikov,Yichen Wei,Daniel Freedman,Pushmeet Kohli,Eyal Krupka,Andrew Fitzgibbon,Shahram Izadi +14 more
TL;DR: A new real-time hand tracking system based on a single depth camera that can accurately reconstruct complex hand poses across a variety of subjects and is highly flexible, dramatically improving upon previous approaches which have focused on front-facing close-range scenarios.
Proceedings ArticleDOI
Image segmentation with a bounding box prior
TL;DR: This paper discusses how the bounding box can be further used to impose a powerful topological prior, which prevents the solution from excessive shrinking and ensures that the user-provided box bounds the segmentation in a sufficiently tight way.