Invention Grant
- Patent Title: Real-time, model-based object detection and pose estimation
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Application No.: US15812539Application Date: 2017-11-14
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Publication No.: US10062003B2Publication Date: 2018-08-28
- Inventor: Pablo Sala , Norberto Goussies
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Lempia Summerfield Katz LLC
- Main IPC: G06K9/52
- IPC: G06K9/52 ; G06T19/00 ; G06K9/62 ; G06T7/73

Abstract:
A system includes a memory and a processor configured to select a set of scene point pairs, to determine a respective feature vector for each scene point pair, to find, for each feature vector, a respective plurality of nearest neighbor point pairs in feature vector data of a number of models, to compute, for each nearest neighbor point pair, a respective aligning transformation from the respective scene point pair to the nearest neighbor point pair, thereby defining a respective model-transformation combination for each nearest neighbor point pair, each model-transformation combination specifying the respective aligning transformation and the respective model with which the nearest neighbor point pair is associated, to increment, with each binning of a respective one of the model-transformation combinations, a respective bin counter, and to select one of the model-transformation combinations in accordance with the bin counters to detect an object and estimate a pose of the object.
Public/Granted literature
- US20180068202A1 Real-Time, Model-Based Object Detection and Pose Estimation Public/Granted day:2018-03-08
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