R
Richard E. Moore
Researcher at Microsoft
Publications - 10
Citations - 3867
Richard E. Moore is an academic researcher from Microsoft. The author has contributed to research in topics: Pixel & Decision tree. The author has an hindex of 9, co-authored 10 publications receiving 3585 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.
Patent
Skeletal joint recognition and tracking system
Philip Tossell,Andrew D. Wilson,Alex Aben-Athar Kipman,Johnny Chung Lee,Alex Balan,Jamie Shotton,Richard E. Moore,Oliver Williams,Ryan Michael Geiss,Mark J. Finocchio,Kathryn Stone Perez,Aaron Kornblum,John Clavin +12 more
TL;DR: In this article, a system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing only some skeletal joints, such as for example a user upper body, and further processing efficiency is achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time.
Patent
Proxy training data for human body tracking
TL;DR: In this article, the similarity metric is used to locate distinct frames which are sufficiently distinct, according to a threshold distance, to avoid providing redundant or similar frames to the machine learning algorithm, and to provide a compact yet highly variegated set of images, dissimilar frames can be identified using a similarity metric.
Patent
Invariant features for computer vision
TL;DR: In this paper, a feature region is defined relative to the local coordinate system for each of the depth pixels in the subset, which is then transformed from the local coordinates to an image coordinate system.
Patent
Distributed decision tree training
Jamie Shotton,Mihai-Dan Budiu,Andrew Fitzgibbon,Mark J. Finocchio,Richard E. Moore,Duncan Robertson +5 more
TL;DR: In this article, a decision tree training system may include a distributed control processing unit configured to receive input of training data for training decision trees, and a plurality of node batch processing units configured to aggregate the associated partial histograms for each split function.