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.
AI classification
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.