PATENT CLAIM ANALYSIS

Application Number: 16396484
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["356", "601000"]

Abstract:
A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an imaging apparatus for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the imaging apparatus, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on the position of the at least one lens associated with the depth data for the one or more of the plurality of points. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Claim (Index 29):
The imaging apparatus of  claim 22 , wherein the one or more processor is further to:\n determine a current temperature of the optical system, wherein the focal surface of the optical system changes with changes in temperature; and adjust the determined positions of the one or more of the plurality of points to compensate for the change in the focal surface caused by the current temperature of the optical system for the one or more of the plurality of points.

Metadata:
- Claim Count in Document: 77.0
- Percentile: 100.0
- Lexical Diversity: 2.53846
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16286437', '15610515', '14825173', '15811365', '14323215']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.70622812254788
- 35 USC 102 Novelty (BERT): 0.5027588733448981
- Combined Prediction Score: 0.6858811976275819
- Mean Citation Score: 205.94981
- Max Citation Score: 253.0043
- Similarity Product: 174.65945152403114

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test