PATENT CLAIM ANALYSIS

Application Number: 16109639
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["345", "420000"]

Abstract:
One embodiment of the invention disclosed herein provides techniques for voxelizing a mesh representation associated with a three-dimensional model to generate a volumetric model. A model filling engine associated with a voxelization system identifies a first voxel included in a voxel grid array that intersects with the mesh representation. The model filling engine selects a second voxel at an exterior boundary of the voxel grid array that is not identified as a boundary voxel. The model filling engine marks the second voxel as an exterior voxel. The model filling engine marks all unmarked voxels that are adjacent to the second voxel as exterior voxels. The model filling engine marks all remaining voxels as interior voxels. A model finishing engine associated with the voxelization system generates a volumetric model based at least in part on the first voxel.

Claim (Index 19):
The one or more non-transitory computer-readable media of  claim 15 , wherein the completion criterion comprises determining that the steps of identifying a second set of voxels, determining a subset of voxels, and marking each voxel in the subset of voxels as a potentially interior voxel have been repeated a threshold number of times.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 96.0
- Lexical Diversity: 2.36066
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14975453', '13725015', '14252399', '14251522', '15872181']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6306992181801708
- 35 USC 102 Novelty (BERT): 0.5730069991111099
- Combined Prediction Score: 0.6249299962732647
- Mean Citation Score: 268.900988
- Max Citation Score: 462.67242000000016
- Similarity Product: 367.28163727352506

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