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 13):
A method comprising:\n sensing at least two images of a scene containing objects; obtaining spatial alignment data comprising a relative alignment between at least two of the sensed images; for each of the sensed images, attempting to identify an object that appears in at least two of the images; and calculating, 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): 0.5492361890280213
- 35 USC 102 Novelty (BERT): 0.4844854077025774
- Combined Prediction Score: 0.542761110895477
- Mean Citation Score: 157.90780800000005
- Max Citation Score: 244.95026
- Similarity Product: 225.89466870033985

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