Dissertations, Theses, and Capstone Projects
Date of Degree
2-2018
Document Type
Dissertation
Degree Name
Ph.D.
Program
Computer Science
Advisor
Ioannis Stamos
Committee Members
Yingli Tian
Andrew Rosenberg
Philippos Mordohai
Subject Categories
Artificial Intelligence and Robotics | Computer Sciences
Keywords
machine learning, neural networks, deep learning, computer vision, lidar
Abstract
We address the problem of identifying objects of interest in 3D images as a set of related tasks involving localization of objects within a scene, segmentation of observed object instances from other scene elements, classifying detected objects into semantic categories, and estimating the 3D pose of detected objects within the scene. The increasing availability of 3D sensors motivates us to leverage large amounts of 3D data to train machine learning models to address these tasks in 3D images. Leveraging recent advances in deep learning has allowed us to develop models capable of addressing these tasks and optimizing these tasks jointly to reduce potential errors propagated when solving these tasks independently.
Recommended Citation
Zelener, Allan, "Object Localization, Segmentation, and Classification in 3D Images" (2018). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/2531