PATENT CLAIM ANALYSIS

Application Number: 15892113
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "418000"]

Abstract:
Techniques of simplifying triangular meshes involve performing machine learning on triangle mesh data to produce simplified triangle mesh data representing a simplified triangle mesh having a specified number of triangles. Along these lines, a computer obtains triangular mesh data representing a triangular mesh that approximates an object. For example, a triangular mesh that provides a very good approximation of a human head may have tens or hundreds of thousands of triangular faces and vertices. The computer then inputs this triangular mesh data and a specified number of triangular faces into a machine learning application. The specified number of triangular faces is much less than the number of faces in the triangular mesh data input into the machine learning application. The machine learning application, having been trained on multiple sets of triangular mesh/simplified triangular mesh data pairs, outputs simplified triangular mesh data representing a simplified triangular mesh having the specified number of sides.

Claim (Index 4):
The method as in  claim 3 , wherein replacing the first plurality of triangles with the second plurality of triangles includes:\n generating a plurality of sets of triangles having, as vertices, points represented by the point data, the points neighboring the vertex represented by the removed point datum; and producing, as the second plurality of triangles, the set of triangles minimizing an error metric with respect to the first plurality of triangles.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.28169
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15612689', '10312207', '11278260', '11715922', '15040931']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6193615966272504
- 35 USC 102 Novelty (BERT): 0.4797991806903094
- Combined Prediction Score: 0.6054053550335563
- Mean Citation Score: 171.603922
- Max Citation Score: 187.30058
- Similarity Product: 148.03639982355116

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

Dataset: test