Systems and Methods for Generating Point-Accurate Three-Dimensional Models with Point-Accurate Color Information from a Non-Cosited Capture

Patent №

US 11,620,764

Granted

2023-04-04

Filed 2022

Owner

ILLUSCIO, INC.

Lab

AI components

2

nlp · vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17823831

Disclosed is a system and associated methods for generating a point-accurate three-dimensional (“3D”) model of a scene with point-accurate color information from a non-cosited capture of the scene. The system may define a first model based on positional measurements obtained from a first device. The system may capture images of the scene with a different set of devices, and may generate a second model from a photogrammetry modeling of the images. The system may align the models in order to determine positioning of the set of devices relative to the first model, and may select a particular device that captures descriptive characteristics from a position in the scene that is represented by the positional elements of a particular data point. The system may define non-positional elements of the particular data point based on the descriptive characteristics captured by the particular device.

Natural languageVisionG06T 7/75G01S 17/86G01S 17/89G06T 7/33G06T 7/344G06T 7/55G06T 7/73G06T 2207/10024+1 more

AI classification

Vision1.00
Natural language0.58
Knowledge representation0.01
Evolutionary computation0.01
AI hardware0.00
Planning0.00
Machine learning0.00
Speech0.00

Ownership

ILLUSCIO, INC.

assignment · 609580147

Assignors

BARSKY, KEVAN SPENCER, HAMMERLE, NICHOLAS F, SUNG, TIM

On an employer assignment, the assignors are typically the inventors.

From the same owner

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