PATENT CLAIM ANALYSIS

Application Number: 15749642
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["382", "254000"]

Abstract:
A scene reconstruction method, apparatus, terminal device, and storage medium. The method includes: acquiring a first image set matching a to-be-reconstructed scene ( 11 ); extracting a characteristic region of an image in the first image set by using a characteristic extraction algorithm ( 12 ); performing recognition on the characteristic region to obtain a scene characteristic region in the image ( 13 ); and performing three-dimensional reconstruction on the to-be-reconstructed scene according to the scene characteristic region in the image, and rendering and generating the to-be-reconstructed scene ( 14 ). Some useless and unstable characteristic regions are filtered off, and the three-dimensional reconstruction on the to-be-reconstructed scene is performed only according to the scene characteristic region associated with the to-be-reconstructed scene, thereby improving the efficiency and accuracy of reconstruction.

Claim (Index 15):
The terminal device according to  claim 13 , wherein the characteristic region comprises: at least one of a human characteristic region, an object characteristic region, or a scenery characteristic region, and before the performing three-dimensional reconstruction on the to-be-reconstructed scene according to the scene characteristic region in the image, the operations further comprise:\n deleting the human characteristic region, the object characteristic region, and the scenery characteristic region from the image.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 88.0
- Lexical Diversity: 2.2
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15301356', '16066168', '13638782', '15241327', '13038055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3586881919211475
- 35 USC 102 Novelty (BERT): 0.5033192042475352
- Combined Prediction Score: 0.3731512931537862
- Mean Citation Score: 185.21891
- Max Citation Score: 204.88696
- Similarity Product: 122.70808674936292

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