Three-dimensional segmentation of digital models utilizing soft classification geometric tuning
AssigneeAdobe Inc.
InventorsVladimir Kim, Aaron Hertzmann, Mehmet Yumer
Life of this patent
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AssigneeAdobe Inc.
InventorsVladimir Kim, Aaron Hertzmann, Mehmet Yumer
Estimating the term…
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.
A computer-implemented method of selecting and manipulating segments of three-dimensional digital models, comprising:
A system for selecting segments of three-dimensional digital models, comprising:
A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a computer system to:
Dependencies are inferred from the claim text.