PATENT CLAIM ANALYSIS

Application Number: 16059865
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["348", "148000"]

Abstract:
Methods and a system for identifying reflective surfaces in a scene are provided herein. The system may include a sensing device configured to capture a scene. The system may further include a storage device configured to store three-dimensional positions of at least some of the objects in the scene. The system may further include a computer processor configured to attempt to obtain a reflective surface representation for one or more candidate surfaces selected from the surfaces in the scene. In a case that the attempted obtaining is successful, computer processor is further configured to determine that the candidate reflective surface is indeed a reflective surface defined by the obtained surface representation. According to some embodiments of the present invention, in a case the attempted calculation is unsuccessful, determining that the recognized portion of the object is an object that is independent of the stored objects.

Claim (Index 20):
A system comprising:\n a sensing device configured to sense at least two images of a scene containing objects; a computer processor configured to obtain spatial alignment data comprising a relative alignment between at least two of the sensed images, wherein for each of the sensed images, the compute processor is configured to attempt to identify an object that appears in at least two of the images, wherein the computer processor is configured to calculate, based on constraints derived from each of the attempts, a volume sector within the scene which contains a reflective surface onto which the identified object is reflected.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.16901
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14872160', '15901402', '14947584', '16089064', '14537823']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5487641276445239
- 35 USC 102 Novelty (BERT): 0.486602704568596
- Combined Prediction Score: 0.542547985336931
- Mean Citation Score: 157.90780800000005
- Max Citation Score: 244.95026
- Similarity Product: 220.632357461617

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