UTILIZING SOFT CLASSIFICATIONS TO SELECT INPUT PARAMETERS FOR SEGMENTATION ALGORITHMS AND IDENTIFY SEGMENTS OF THREE-DIMENSIONAL DIGITAL MODELS

Patent №

US 11,823,391

Granted

2023-11-21

Filed 2022

Owner

ADOBE SYSTEMS INCORPORATED

+1 more

Lab

AI components

5

ml · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17655226

The present disclosure includes methods and systems for identifying and manipulating a segment of a three-dimensional digital model based on soft classification of the three-dimensional digital model. In particular, one or more embodiments of the disclosed systems and methods identify a soft classification of a digital model and utilize the soft classification to tune segmentation algorithms. For example, the disclosed systems and methods can utilize a soft classification to select a segmentation algorithm from a plurality of segmentation algorithms, to combine segmentation parameters from a plurality of segmentation algorithms, and/or to identify input parameters for a segmentation algorithm. The disclosed systems and methods can utilize the tuned segmentation algorithms to accurately and efficiently identify a segment of a three-dimensional digital model.

Machine learningVisionKnowledge representationPlanningAI hardwareG06T 7/143G06T 7/11G06V 10/26G06V 20/64G06V 30/248G06T 2200/04G06T 2207/10028G06T 2207/20081

AI classification

Machine learning1.00
Vision1.00
Planning1.00
Knowledge representation0.97
AI hardware0.92
Natural language0.17
Speech0.01
Evolutionary computation0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 592930761

ADOBE INC.

namechg · 599180958

Assignors

KIM, VLADIMIR, HERTZMANN, AARON, YUMER, MEHMET

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

From the same owner

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