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Mark J. Finocchio
Researcher at Microsoft
Publications - 51
Citations - 8787
Mark J. Finocchio is an academic researcher from Microsoft. The author has contributed to research in topics: Pixel & Object (computer science). The author has an hindex of 23, co-authored 51 publications receiving 8386 citations.
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.
Patent
Realistic occlusion for a head mounted augmented reality display
Kevin Geisner,Brian Mount,Stephen G. Latta,Daniel McCulloch,Kyungsuk David Lee,Ben J. Sugden,Jeffrey Margolis,Kathryn Stone Perez,Sheridan Martin Small,Mark J. Finocchio,Robert L. Crocco +10 more
TL;DR: In this paper, the authors describe a system for providing realistic 3D spatial occlusion between a virtual object displayed by a head mounted, augmented reality display system and a real object visible to the user through the display.
Patent
Device for identifying and tracking multiple humans over time
R. Stephen Polzin,Alex Aben-Athar Kipman,Mark J. Finocchio,Ryan Michael Geiss,Kathryn Stone Perez,Kudo Tsunoda,Darren Bennett +6 more
TL;DR: In this article, the authors presented a system that recognizes human beings in their natural environment, without special sensing devices attached to the subjects, uniquely identifies them and tracks them in 3D space.