2024
DOI: 10.3390/s24123874
|View full text |Cite
|
Sign up to set email alerts
|

Bridging Formal Shape Models and Deep Learning: A Novel Fusion for Understanding 3D Objects

Jincheng Zhang,
Andrew R. Willis

Abstract: This article describes a novel fusion of a generative formal model for three-dimensional (3D) shapes with deep learning (DL) methods to understand the geometric structure of 3D objects and the relationships between their components, given a collection of unorganized point cloud measurements. Formal 3D shape models are implemented as shape grammar programs written in Procedural Shape Modeling Language (PSML). Users write PSML programs to describe complex objects, and DL networks estimate the configured free par… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 41 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?