PATENT CLAIM ANALYSIS

Application Number: 16028303
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["382", "131000"]

Abstract:
Systems and methods for predicting shape are provided. A system for predicting shape can include a database, a training analysis module, a subject analysis module, and a prediction module. The database can store two sets of training models characterized by first and second parameters, respectively (e.g., bone and cartilage), as well as a subject model characterized by the first parameter (e.g., a bone model). The relationships between these models can be determined by a training analysis module and a subject module. Based on these relationships, the prediction module can generate a predicted shape characterized by the second parameter (e.g., a predicted cartilage model corresponding to the bone model).

Claim (Index 1):
A system for generating a digital 3D model of an object based on predicting a shape of the object, the system comprising:\n a memory configured to store at least one database configured to store a first set of training models corresponding to 2D models, a second set of training models corresponding to 3D models, and a subject model corresponding to a 2D model, wherein each 2D model in the first set of training models corresponds to a 3D model in the second set of training models; a processor configured to:\n determine an average shape for the first set of training models; \n determine a decomposition of the first set of training models; \n determine an average shape for the second set of training models; \n determine a decomposition of the second set of training models; \n determine a relationship between the first set of training models and the second set of training models as function of the average shape for the first set of training models, the decomposition of the first set of training models, the average shape for the second set of training models, and the decomposition of the second set of training models; \n determine a relationship between the subject model and the first set of training models; and \n generate the digital 3D model of the object based on a predicted shape of the object based on the relationship between the first set of training models and the second set of training models and on the relationship between the subject model and the first set of training models.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 95.0
- Lexical Diversity: 2.37037
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15218067', '12703438', '12918810', '12392808', '12392849']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2738030408552891
- 35 USC 102 Novelty (BERT): 0.5169252315886942
- Combined Prediction Score: 0.2981152599286297
- Mean Citation Score: 184.94334
- Max Citation Score: 310.73895
- Similarity Product: 264.8919594604522

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

Dataset: test