An overview of machine learning techniques for 2D and 3D data processing

Abhijit Mahalanobis

doi:10.1117/12.3012040

10 June 2024 An overview of machine learning techniques for 2D and 3D data processing

Abhijit Mahalanobis

Author Affiliations +

Proceedings Volume PC13041, Three-Dimensional Imaging, Visualization, and Display 2024; PC130410A (2024) https://doi.org/10.1117/12.3012040
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

We present an overview of recent developments in the field of machine learning for 2D and 3D data processing. These include deep networks with attention mechanisms, new strategies for segmentation and object extraction, transformers, as well as some methods for novel view synthesis. We will discuss the relevance of these techniques for processing data obtained from both active and passive 3D imaging systems.

Conference Presentation

Citation Download Citation

Abhijit Mahalanobis "An overview of machine learning techniques for 2D and 3D data processing", Proc. SPIE PC13041, Three-Dimensional Imaging, Visualization, and Display 2024, PC130410A (10 June 2024); https://doi.org/10.1117/12.3012040

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE