PATENT CLAIM ANALYSIS

Application Number: 15977848
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["345", "420000"]

Abstract:
Computer systems and methods are described for automatically generating a 3D model, including locating a geographical location of a structure using wire-frame data of the structure; obtaining, using the geographical location of the structure, geo-referenced images representing the geographic location of the structure and containing one or more real façade texture of the structure; locating a geographical position of one or more real façade texture of the structure; selecting one or more base oblique image from the geo-referenced images by analyzing, with selection logic, image raster content of the real façade texture depicted in the multiple geo-referenced images, the selection logic using a factorial analysis of the image raster content; and applying the real façade texture of the base oblique image to the wire-frame data of the structure to create a three dimensional model providing a real-life representation of physical characteristics of the structure.

Claim (Index 18):
The method of  claim 17 , further comprising:\n applying, using the one or more computer processor, the real fa\u00e7ade texture of the overlapping structures that are determined to be desirable features to the three-dimensional model.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 93.0
- Lexical Diversity: 2.38462
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15374358', '15056598', '15830823', '14633285', '11998974']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.770052235649936
- 35 USC 102 Novelty (BERT): 0.6004589343156957
- Combined Prediction Score: 0.7530929055165119
- Mean Citation Score: 478.31443
- Max Citation Score: 484.12894000000006
- Similarity Product: 385.5158830436373

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