Invention Grant
- Patent Title: Systems and methods for predicting and improving scanning geometric accuracy for 3D scanners
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Application No.: US15098267Application Date: 2016-04-13
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Publication No.: US10310922B2Publication Date: 2019-06-04
- Inventor: Qiang Huang
- Applicant: University of Southern California
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/50
- IPC: G06F17/50 ; G06F11/07 ; H04N1/00 ; H04N13/00

Abstract:
Methods, systems, and apparatus including medium-encoded computer program products for generating and visualizing 3D scenes include, in one aspect, a method including: obtaining data regarding (i) standard calibration parts with shapes comprising a cylinder and polyhedrons, and (ii) a limited number of scanning trials performed on the standard calibration parts using a three dimensional (3D) scanner; comparing the data to find shape deviations for the standard calibration parts in a coordinate system; generating a model of functional dependence of scanning error for the 3D scanner using the shape deviations; and providing the model of functional dependence of scanning error for the 3D scanner to quantify scanning inaccuracy of the 3D scanner, wherein the model is usable to predict a measurement error for the 3D scanner on a scanned product.
Public/Granted literature
- US20160299996A1 Systems and Methods for Predicting and Improving Scanning Geometric Accuracy for 3D Scanners Public/Granted day:2016-10-13
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