# US 2022/0036503 A1 · Texture extraction

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- Number: US 2022/0036503 A1
- Document ID: US20220036503A1
- Status: Published application
- Kind: A1
- Application number: 17/389,231
- Filed: 2021-07-29
- Published: 2022-02-03
- Earliest claimed: 2020-07-31
- Assignees: Spot Vision LLC
- Applicants: Spot Vision LLC
- Inventors: Joshua Victor Aller; Nicholas Riehl
- Web page: https://patentgrep.com/patent/US20220036503A1

## CPC

- G06T 3/06: Topological mapping of higher dimensional structures onto lower dimensional surfaces
- G06N 3/04: Architecture, e.g. interconnection topology
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 3/08: Learning methods
- G06N 3/09: Supervised learning
- G06T 5/60: using machine learning, e.g. neural networks
- G06T 5/80: Geometric correction
- G06V 10/225: {based on a marking or identifier characterising the area}
- G06V 10/24: Aligning, centring, orientation detection or correction of the image
- G06V 10/82: using neural networks
- G06V 20/64: Three-dimensional [3D] objects
- G06F 18/214: Generating training patterns; Bootstrap methods, e.g. bagging or boosting
- G06N 3/084: Backpropagation, e.g. using gradient descent
- G06T 3/4046: using neural networks
- G06T 2207/10024: Color image
- G06T 2207/20081: Training; Learning
- G06T 2207/20084: Artificial neural networks [ANN]
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)

## Abstract

Texture extraction is disclosed.

## Claims

### Claim 1

Texture extraction.
