PATENT CLAIM ANALYSIS

Application Number: 16186642
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["345", "420000"]

Abstract:
A method of creating a real time synthetic model tracking a dynamic physical entity, comprising: a) Receiving multiple points extracted from a sequence of 3D information depicting a dynamic physical entity, each point is associated with position and photometric information. b) Identifying, within the multiply of points, a cloud point which includes multiple entity representative points which portray a surface of the dynamic physical entity. c) Generating a points-surface for a synthetic model by creating spatial presentation of the entity representative points through calculation of principal curvatures for each entity representative point according to the respective position information. d) Generating a continuous surface for the synthetic model by texturing ellipsoidal shapes created for each entity representative point according to the respective photometric information. e) Tracking motion of the dynamic physical entity by adjusting the points-surface and the continuous surface through iterations wherein in each iteration steps a)-d) are performed.

Claim (Index 5):
The method of  claim 3 , further comprising receiving presentation data of internal organs of said dynamic physical entity and integrating said presentation data into said metadata information.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 98.0
- Lexical Diversity: 2.14103
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14294161', '15045487', '13467467', '15242335', '16143243']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5883843170217692
- 35 USC 102 Novelty (BERT): 0.5253008955580091
- Combined Prediction Score: 0.5820759748753932
- Mean Citation Score: 159.58615419999995
- Max Citation Score: 324.65417
- Similarity Product: 203.68871672894767

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

Dataset: test