PATENT CLAIM ANALYSIS

Application Number: 15964956
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["345", "419000"]

Abstract:
A method of automatically transforming a computerized 3D model having regions of images utilized as textures on one or more physical objects represented in the 3D model (such as building sides and roofs, walls, landscapes, mountain sides, trees and the like) to include material property information for one or more regions of the textures of the 3D model. In this method, image textures applied to the 3D model are examined by comparing, utilizing a computer, at least a portion of each image texture to entries in a palette of material entries. The material palette entry that best matches the one contained in the image texture is assigned to indicate a physical material of the physical object represented by the 3D model. Then, material property information is stored in the computerized 3D model for the image textures that are assigned a material palette entry.

Claim (Index 15):
The method of  claim 11 , further comprising the step of using the entries in the palette of structural roof element textures with the best match as simulated textures for the computerized 3D model as indicated by a size and position of the representations of predetermined structural roof elements.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 2.15068
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15142361', '12605980', '12064474', '12266942', '13427497']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6380161243510916
- 35 USC 102 Novelty (BERT): 0.5734204442825576
- Combined Prediction Score: 0.6315565563442381
- Mean Citation Score: 307.5557540000001
- Max Citation Score: 471.87622000000016
- Similarity Product: 405.11811211643226

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

Dataset: test