OSW

SIGNATURE WORK
CONFERENCE & EXHIBITION 2022

A Study of Photogrammetry and Novel View Synthesis Algorithms

Name

Cullen Peters

Major

Data Science

Class

2022

About

My name is Cullen Peters, and I am from Oklahoma City, Oklahoma. I'm studying Data Science at DKU, but I am physically at Duke this year.

Signature Work Project Overview

This signature work presents a literature review and survey of available photogrammetry and novel view synthesis algorithms. This is the study of how 2D images of real-world locations and objects that are more easily acquired can be transformed into 3D models or novel views which are much more difficult to generate by hand faithfully. It also explores some of the ways that these methods can be applied both in software and in hardware. Although there were many slowdowns and setbacks throughout the year, this paper will explain my work in full both to reflect the time and effort spent on the project and help provide guidance to future work in the area. It can provide a better understanding of the resources and time required to finish the work started here, as well as to know what avenues might be more productive than others for the future. One topic to be discussed was the attempt to automate photo acquisition through the construction and use of a small quadcopter drone. Although the drone was assembled and the autopilot installed, the drone could not fully function without the telemetry radio that was not available due to hardware shortages caused by the COVID-19 pandemic. However, this did not prevent analysis of the photogrammetry software which could rely on publicly available datasets. The different outputs of these algorithms could be compared to establish a baseline of what might be an appropriate choice for different applications.

Signature Work Presentation Video