PATENT CLAIM ANALYSIS

Application Number: 15915808
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["345", "419000"]

Abstract:
The present disclosure provides systems and methods for generating a patch surface model of a geometric structure. The system includes a computer-based model construction system configured to be coupled to a device that includes at least one sensor configured to acquire a set of original location data points corresponding to respective locations on a surface of the geometric structure, the computer-based model construction system further configured to generate a reference surface based on the acquired original location data points, subdivide the reference surface into a plurality of triangles, project at least some of the original location data points onto a respective nearest point on the subdivided reference surface, compute a function that morphs the projected location data points towards the original location data points to generate a patch surface model, and determine a boundary for the patch surface model.

Claim (Index 5):
The system of  claim 3 , wherein to determine a boundary for the patch surface model, the computer-based model construction system is configured to:\n receive an input radius value from a user representing how coarse or fine the boundary is to be computed; define a cylinder having the input radius value and oriented such that its longitudinal axis is normal to the patch surface model, wherein the cylinder is further defined tangentially to an exterior projected location data point and role the cylinder around the patch surface model to each projected location data point to define a closed boundary curve.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.24615
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14887479', '15279558', '14621965', '13339465', '15279572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6753706045368586
- 35 USC 102 Novelty (BERT): 0.534799274406455
- Combined Prediction Score: 0.6613134715238183
- Mean Citation Score: 249.126916
- Max Citation Score: 371.07315
- Similarity Product: 318.3615351786196

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