Toby Sharp
Toby Sharp is a computer-vision researcher whose work spans GPU decision forests, Kinect body tracking, and real-time hand tracking. He studied mathematics, built a career in software engineering and scientific computing, and published a steganography paper in 2001. At Microsoft Research, he coauthored work on geodesic image and video editing, contributed high-speed code to Kinect's machine-learning body tracker, and first-authored a real-time hand tracker. He shared the MacRobert Award for Kinect's machine-learning contribution in 2011 and the Longuet-Higgins Prize for the pose-recognition paper in 2021. After roles in Microsoft's AI and HoloLens work and as Google's lead architect of augmented reality, he works at Arm as of October 2026.
- Now at
- Arm
Timeline
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2001
Mathematics and a steganography paper
From an early age, he immerses himself in computing, studies mathematics, and builds a software career in scientific computing. In 2001, he writes “An implementation of key-based digital signal steganography” for the International Workshop on Information Hiding.
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2008
Decision forests on a GPU
In 2008, he is sole author of “Implementing Decision Trees and Forests on a GPU,” published at ECCV. The method trains and evaluates decision forests entirely on a GPU, with object-recognition results matching the CPU in about 1% of the time.
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November 2010
Geodesic image and video editing
In November 2010, he coauthors “Geodesic image and video editing” with Antonio Criminisi, Carsten Rother, and Patrick Perez. The technique applies a generalized geodesic distance transform to edge-sensitive editing across images and videos.
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2011
Body tracking for Kinect
In 2011, he coauthors “Real-Time Human Pose Recognition in Parts from a Single Depth Image,” which predicts 3D body-joint positions from one depth image and wins CVPR's Best Paper Award. At Microsoft Research Cambridge, he works on high-speed implementations of Jamie Shotton's body-part algorithm for Kinect.
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June 2011
A MacRobert Award
In June 2011, he shares the Royal Academy of Engineering's MacRobert Award with Andrew Blake, Andrew Fitzgibbon, Jamie Shotton, and Mat Cook. The award recognizes the machine learning behind Kinect's human-motion capture.
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April 2015
Real-time hand tracking
In April 2015, he is first author of “Accurate, Robust, and Flexible Real-time Hand Tracking,” presented at CHI with fourteen coauthors, including Jonathan Taylor, Jamie Shotton, Andrew Fitzgibbon, Shahram Izadi, and Pushmeet Kohli. The system tracks detailed hand motion from one depth camera and receives a Best of CHI Honorable Mention.
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June 2021
The Longuet-Higgins prize
In June 2021, he receives the Longuet-Higgins Prize with Jamie Shotton, Andrew Fitzgibbon, Mark Finocchio, Alex Kipman, and Andrew Blake for “Real-Time Human Pose Recognition in Parts from Single Depth Images.”
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As of October 2026
Later roles at Google and Arm
After serving as principal software scientist for Microsoft AI and HoloLens, he becomes Google's lead architect of augmented reality. As of October 2026, he works at Arm.
Career
- NowArm
- 2011Microsoft ResearchSenior Research Software-Development Engineer
- GoogleLead Architect of Augmented Reality
- MicrosoftPrincipal Software Scientist
Sources and credits
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- Toby Sharp - Google Scholar
- THE AI CHICKS — What's Next For Augmented Reality & AI with Google's AR Guru Toby Sharp
- Implementing Decision Trees and Forests on a GPU - Microsoft Research
- Geodesic image and video editing - Microsoft Research
- Real-Time Human Pose Recognition in Parts from a Single Depth Image - Microsoft Research
- Kinect Body Tracking Reaps Renown - Microsoft Research
- Microsoft Research Cambridge: Year in Review - Microsoft Research
- Accurate, Robust, and Flexible Real-time Hand Tracking - Microsoft Research
- Mixed Reality & AI – Cambridge - Microsoft Research: News And Awards
- Real-Time Human Pose Recognition in Parts from Single Depth Images [Video] - Microsoft Research





