Invention Grant
- Patent Title: Visual odometry using object priors
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Application No.: US15430659Application Date: 2017-02-13
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Publication No.: US10204423B2Publication Date: 2019-02-12
- Inventor: Vladimir Kim , Oliver Wang , Minhyuk Sung , Mehmet Ersin Yumer
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Finch & Maloney PLLC
- Main IPC: G06T7/73
- IPC: G06T7/73 ; G06T7/246 ; G06T5/00

Abstract:
Disclosed are techniques for more accurately estimating the pose of a camera used to capture a three-dimensional scene. Accuracy is enhanced by leveraging three-dimensional object priors extracted from a large-scale three-dimensional shape database. This allows existing feature matching techniques to be augmented by generic three-dimensional object priors, thereby providing robust information about object orientations across multiple images or frames. More specifically, the three-dimensional object priors provide a unit that is easier and more reliably tracked between images than a single feature point. By adding object pose estimates across images, drift is reduced and the resulting visual odometry techniques are more robust and accurate. This eliminates the need for three-dimensional object templates that are specifically generated for the imaged object, training data obtained for a specific environment, and other tedious preprocessing steps. Entire object classes identified in a three-dimensional shape database can be used to train an object detector.
Public/Granted literature
- US20180232906A1 VISUAL ODOMETRY USING OBJECT PRIORS Public/Granted day:2018-08-16
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