Invention Grant
- Patent Title: Point tracking using a trained network
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Application No.: US16413102Application Date: 2019-05-15
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Publication No.: US11080884B2Publication Date: 2021-08-03
- Inventor: Gary Bradski , Gholamreza Amayeh , Mona Fathollahi , Ethan Rublee , Grace Vesom , William Nguyen
- Applicant: Matterport, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Matterport, Inc.
- Current Assignee: Matterport, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ahmann Kloke LLP
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/73 ; G06T7/593 ; G06N3/08

Abstract:
A trained network for point tracking includes an input layer configured to receive an encoding of an image. The image is of a locale or object on which the network has been trained. The network also includes a set of internal weights which encode information associated with the locale or object, and a tracked point therein or thereon. The network also includes an output layer configured to provide an output based on the image as received at the input layer and the set of internal weights. The output layer includes a point tracking node that tracks the tracked point in the image. The point tracking node can track the point by generating coordinates for the tracked point in an input image of the locale or object. Methods of specifying and training the network using a three-dimensional model of the locale or object are also disclosed.
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