Invention Grant
- Patent Title: Multiple centroid condensation of probability distribution clouds
- Patent Title (中): 概率分布云的多重中心凝聚
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Application No.: US12770394Application Date: 2010-04-29
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Publication No.: US08379919B2Publication Date: 2013-02-19
- Inventor: Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
- Applicant: Matthew Bronder , Oliver Williams , Ryan Geiss , Andrew Fitzgibbon , Jamie Shotton
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Vierra Magen Marcus & DeNiro LLP
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
Systems and methods are disclosed for identifying objects captured by a depth camera by condensing classified image data into centroids of probability that captured objects are correctly identified entities. Output exemplars are processed to detect spatially localized clusters of non-zero probability pixels. For each cluster, a centroid is generated, generally resulting in multiple centroids for each differentiated object. Each centroid may be assigned a confidence value, indicating the likelihood that it corresponds to a true object, based on the size and shape of the cluster, as well as the probabilities of its constituent pixels.
Public/Granted literature
- US20110268316A1 MULTIPLE CENTROID CONDENSATION OF PROBABILITY DISTRIBUTION CLOUDS Public/Granted day:2011-11-03
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