PATENT CLAIM ANALYSIS

Application Number: 16389323
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["382", "107000"]

Abstract:
The present disclosure provides computing device implemented methods, computing device readable media, and systems for motion compensation in a three dimensional scan. Motion compensation can include receiving three-dimensional (3D) scans of a dentition, estimating a motion trajectory from one scan to another, and calculating a corrected scan by compensating for the motion trajectory. Estimating the motion trajectory can include one or more of: registering a scan to another scan and determining whether an amount of movement between the scans is within a registration threshold; determining an optical flow based on local motion between consecutive two-dimensional (2D) images taken during the scan, estimating and improving a motion trajectory of a point in the scan using the optical flow; and estimating an amount of motion of a 3D scanner during the scan as a rigid body transformation based on input from a position tracking device.

Claim (Index 6):
The system of  claim 1 , wherein the processor is configured to execute the computer-readable instructions to register the particular 3D scan by aligning the one or more at least one previous scan and at least one subsequent scan with a distorted scan and determining an overlap based on the alignment.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 100.0
- Lexical Diversity: 1.92683
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13666812', '15730492', '14578233', '15421110', '14970030']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.365619694983173
- 35 USC 102 Novelty (BERT): 0.5207820059701187
- Combined Prediction Score: 0.3811359260818675
- Mean Citation Score: 316.803956
- Max Citation Score: 326.91428
- Similarity Product: 301.4707115270567

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

Dataset: test