THREE-DIMENSIONAL SEGMENTATION OF DIGITAL MODELS UTILIZING SOFT CLASSIFICATION GEOMETRIC TUNING

Patent №

US 10,706,554

Granted

2020-07-07

Filed 2017

Owner

ADOBE SYSTEMS INCORPORATED

+1 more

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15487813

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 learningNatural languageVisionKnowledge 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
Planning0.99
Knowledge representation0.98
AI hardware0.98
Natural language0.55
Evolutionary computation0.04
Speech0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 420100739

ADOBE INC.

namechg · 476880635

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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