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 15):
The system of  claim 14 , wherein the processor is further programmed by specific computer-executable instructions to at least:\n obtain additional object scan data that corresponds to physical locations on a surface of an additional object, wherein the additional object comprises a second person having a second body shape; and generate a visual model of the second person, wherein generating the visual model of the second person comprises:\n aligning the template mesh to the additional object scan data to obtain a third registration between the template mesh and the additional object scan data; \n training the body model with the third registration to obtain the trained body model having an additional updated parameter for transforming the template mesh; \n aligning the additional object scan data to the template mesh with the additional updated parameter applied to the template mesh to obtain a fourth registration between the template mesh and the additional object scan data; \n refining the body model with the fourth registration to obtain the refined parameter, wherein the refined parameter is capable of transforming the template mesh such that the surface shape of the template mesh corresponds to at least some of the physical locations represented by either of the object scan data and the additional object scan data; and \n generating the visual model of the second person 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: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14433178', '15739658', '14604829', '11881172', '14602701']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6793022189309684
- 35 USC 102 Novelty (BERT): 0.5521824076311058
- Combined Prediction Score: 0.6665902378009821
- Mean Citation Score: 281.282038
- Max Citation Score: 426.38297
- Similarity Product: 324.7563537141633

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