PATENT CLAIM ANALYSIS

Application Number: 16093860
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["345", "633000"]

Abstract:
A three-dimensional information augmented video see-through display device according to an exemplary embodiment of the present disclosure includes a camera interface module which obtains at least two real images from at least two camera modules, a rectification module which performs rectification on the at least two real images, a lens distortion correction module which corrects at least two composite images obtained by combining a virtual image to the at least two real images, based on a lens distortion compensation value indicating a value for compensating for a distortion of a wide angle lens for the at least two real images, and an image generation module which performs side-by-side image processing on the at least two composite images to generate a three-dimensional image for virtual reality VR or augmented reality AR.

Claim (Index 3):
The three-dimensional information augmented video see-through display device according to  claim 2 , wherein the previously stored break point look-up table sequentially stores a plurality of break point information in an empty space on the memory and further stores storage address information on at least one memory for at least one break point information among the plurality of sequentially stored break point information.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.14286
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15545328', '16111918', '11614155', '10451945', '12544240']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6681944404653796
- 35 USC 102 Novelty (BERT): 0.4922934623563325
- Combined Prediction Score: 0.6506043426544749
- Mean Citation Score: 198.75534
- Max Citation Score: 214.71252
- Similarity Product: 151.38587595402717

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