PATENT CLAIM ANALYSIS

Application Number: 15932370
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["345", "420000"]

Abstract:
Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co-registering of the measured object scan data (S).

Claim (Index 12):
A system comprising:\n a data repository storing at least:\n object scan data representing physical locations on a surface of a body of an object; and \n a body model that includes a template mesh and a parameter that transforms a surface shape of the template mesh; and \n a processor in communication with the data repository, the processor programmed by specific computer-executable instructions to at least generate a visual model of the object, wherein generating the visual model comprises:\n aligning the template mesh to the object scan data to obtain a first registration between the template mesh and the object scan data; \n training the body model with the first registration to obtain a trained body model having an updated parameter for transforming the template mesh; \n aligning the object scan data to the template mesh with the updated parameter applied to the template mesh to obtain a second registration between the template mesh and the object scan data; \n refining the body model with the second registration to obtain a refined parameter that transforms the template mesh such that the surface shape of the template mesh corresponds to at least some of the physical locations represented by the object scan data; and \n generating the visual model by applying the refined parameter to the template mesh.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 88.0
- Lexical Diversity: 2.33803
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14433178', '15739658', '14604829', '11881172', '14602701']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.651759937252449
- 35 USC 102 Novelty (BERT): 0.5520858174926564
- Combined Prediction Score: 0.6417925252764698
- Mean Citation Score: 281.282038
- Max Citation Score: 426.38297
- Similarity Product: 346.92506004293267

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