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.
AI classification
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.