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US 12,112,468 B2Granted
Method and apparatus for detecting dimension error
AssigneeElectronics and Telecommunications Research Institute
InventorsHye-Jin Kim, Suyoung Chi
Life of this patent
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Abstract
An apparatus for detecting a dimension error obtains an image of a target object, estimates dimensional data for a region of interest (ROI) for which dimensions are to be measured from the image of the target object using a learned dimensional measurement model, and determines whether there is a dimension error in the ROI from the estimated dimension data using a learned dimension error determination model.
Claims12
A method for detecting a dimension error of a target object in an apparatus for detecting a dimensional error, the method comprising:
- obtaining an image of the target object;
- estimating dimensional data for a region of interest (ROI) for which dimensions are to be measured from the image of the target object using a learned dimensional measurement model;
- and
- determining whether there is a dimension error in the ROI from the estimated dimension data using a learned dimension error determination model,
- wherein the method further comprising learning the dimension measurement model using learning data including an image of each analyzed object and ground truth (GT) dimension data of each analyzed object,
- wherein the learning includes:
- converting the estimated dimension data of the dimension measurement model to the image of each analyzed object and the GT dimension data corresponding to the image of each analyzed object by using an objective function that converts data values within a set target value range, respectively;
- calculating differences between the estimated dimension data and the ground truth dimension data converted, respectively, by the objective function;
- and
- updating weights set in the dimension measurement model based on the differences,
- wherein the learning further includes:
- classifying the estimated dimension data of the dimension measurement model into data corresponding to the range of the target value and data outside the range of the target value;
- substituting the data within the range of the target value and ground truth (GT) data as an input value of the objective function, respectively.
10 more elements
An apparatus for detecting a dimension error of a target object, the apparatus comprising:
- an image capturing unit that acquires an image of the target object;
- and
- a dimension error analyzer that determines whether or not there is a dimension error in the region of interest for which dimensions are to be measured from the image of the target object using a learned dimension error determination model,
- wherein the apparatus further comprising a three-dimensional (3D) image acquirer that estimates dimension data for the ROI from the image of the target object using a learned dimension measurement model,
- wherein the dimension error determination model receives dimensional data estimated by the dimensional measurement model as an input and detects whether the dimension error has occurred,
- wherein the 3D image acquirer includes a dimensional measurement model learning unit that learns the dimension measurement model using learning data including an image of each analyzed object and ground truth (GT) dimension data of each analyzed object, and
- the dimension measurement model learning unit includes:
- a data converter that converts the estimated dimension data of the dimension measurement model to the image of each analyzed object and the GT dimension data corresponding to the image of each analyzed object by using an objective function that converts data values within a set target value range, respectively;
- and
- a weight updater that updates weights set in the dimension measurement model based on differences between the estimated dimension data and the ground truth dimension data converted, respectively, by the objective function,
- wherein the dimension measurement model learning unit classifies the estimated dimension data of the dimension measurement model into data corresponding to the range of the target value and data outside the range of the target value and substitutes the data within the range of the target value and ground truth (GT) data as an input value of the objective function, respectively.
8 more elements
Dependencies are inferred from the claim text.