Loading [MathJax]/extensions/MathMenu.js
Joshua Fraser - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Joshua Fraser

Publications
12
Citations
155
Publications by Year
20102023
Co-Authors:
Show All Co-Authors (39)
Headshot silhouette indicating that no photo is available for this author

Joshua Fraser

Affiliation

Dept. of Electrical Engineering and Computer Science
University of Missouri
Columbia, MO

Publication Topics

Biography

Joshua Fraser received the Ph.D. degree in computer science from the University of Missouri, Columbia, MO, USA. He is currently a Research Scientist with the University of Missouri. His research interests include large multidimensional data visualization, human–computer interaction, and interactive rendering.(Based on document published on 7 December 2020).
Publications
12
Citations
155
Publications by Year
20102023
Co-Authors:
Show All Co-Authors (39)
Author's Published Works

Showing 1-12 of 12 results

  • Sort

Filter Results

Show

Sort By

Results

Simulating City-Scale Aerial Data Collection Using Unreal Engine

Dhruv Agarwal;Taci Kucukpinar;Joshua Fraser;Jeffrey Kerley;Andrew R. Buck;Derek T. Anderson;Kannappan Palaniappan

2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
The rendering quality of game engines has significantly improved in realism. Physically-based rendering techniques started to overtake traditional rasterization-based graphics rendering pipelines in interactive rendering applications. We leverage these advancements to replicate our real-world city-scale aerial image data collections in the Unreal Engine. The use of city-scale synthetic data has ma...Show More

Simulating City-Scale Aerial Data Collection Using Unreal Engine

Dhruv Agarwal;Taci Kucukpinar;Joshua Fraser;Jeffrey Kerley;Andrew R. Buck;Derek T. Anderson;Kannappan Palaniappan

Year: 2023 | Conference Paper |

NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images

Dylan Callaghan Chapell;Edward Ruien Shang;Taci Kucukpinar;Joshua Fraser;Jaired Collins;Vasit Sagan;Prasad Calyam;Kannappan Palaniappan

2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
City-scale 3D reconstruction of drone images has many benefits in creating dynamic digital twin models for geospatial and remote sensing applications. We experiment with Neural Radiance Fields (NeRF) to generate novel orthorectified views, point clouds, and 3D meshes using our city-scale image dataset captured from drones and crewed aircraft flights in a circular orbit. We report on the impact of ...Show More

NeRF-based 3D Reconstruction and Orthographic Novel View Synthesis Experiments Using City-Scale Aerial Images

Dylan Callaghan Chapell;Edward Ruien Shang;Taci Kucukpinar;Joshua Fraser;Jaired Collins;Vasit Sagan;Prasad Calyam;Kannappan Palaniappan

Year: 2023 | Conference Paper |

A Down-to-Earth Approach for Camera to World Map Georeferencing Using SfM

Timothy Krock;Jaired Collins;Joshua Fraser;Hadi AliAkbarpour;Kannappan Palaniappan

2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
This paper explores georegistration of drone imagery by mapping the collection of images to a satellite-centric view, such as that provided by Google Earth. Typically, Structure-from-Motion (SfM) algorithms produce camera poses that can be expressed in a coordinate system related by a similarity transformation in relation to a global coordinate system. We developed Down-to-Earth (D2E) a georegistr...Show More

A Down-to-Earth Approach for Camera to World Map Georeferencing Using SfM

Timothy Krock;Jaired Collins;Joshua Fraser;Hadi AliAkbarpour;Kannappan Palaniappan

Year: 2022 | Conference Paper |

A comparison of features Synthetic WAMI and GES of the same location

Koundinya Nouduri;Jason James;Joshua Fraser;Hadi AliAkbarpour;Kannappan Palaniappan

2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)
Year: 2022 | Conference Paper |
The rapid growth in deep learning has accelerated advances in many areas of computer vision. However, deep learning-based approaches require a large amount of data to train models. Subsequently, synthetic data is increasingly being looked to as a source for labeled training datasets to be used with supervised deep learning algorithms. WAMI (wide-area motion imagery) is sequential, oblique imagery,...Show More

A comparison of features Synthetic WAMI and GES of the same location

Koundinya Nouduri;Jason James;Joshua Fraser;Hadi AliAkbarpour;Kannappan Palaniappan

Year: 2022 | Conference Paper |

CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes

Calvin Davis;Jaired Collins;Joshua Fraser;Haoxiang Zhang;Shizeng Yao;Emily Lattanzio;Bimal Balakrishnan;Ye Duan;Prasad Calyam;Kannappan Palaniappan

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Year: 2022 | Conference Paper |
Cited by: Papers (6)
Modeling and simulation of large urban regions is beneficial for a range of applications including intelligent transportation, smart cities, infrastructure planning, and training artificial intelligence for autonomous navigation systems including ground vehicles and aerial drones. Immersive environments including virtual reality (VR), augmented reality (AR), mixed reality (MR or XR) can be used to...Show More

CAVE-VR and Unity Game Engine for Visualizing City Scale 3D Meshes

Calvin Davis;Jaired Collins;Joshua Fraser;Haoxiang Zhang;Shizeng Yao;Emily Lattanzio;Bimal Balakrishnan;Ye Duan;Prasad Calyam;Kannappan Palaniappan

Year: 2022 | Conference Paper |

3D Modeling of Cities for Virtual Environments

Calvin Davis;Jaired Collins;Joshua Fraser;Haoxiang Zhang;Shizeng Yao;Emily Lattanzio;Bimal Balakrishnan;Ye Duan;Prasad Calyam;Kannappan Palaniappan

2021 IEEE International Conference on Big Data (Big Data)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
Modeling and simulation of large urban regions is beneficial for a range of applications including intelligent transportation, smart cities, infrastructure planning, and training artificial intelligence for autonomous navigation systems including ground vehicles and aerial drones. Immersive environments including virtual reality (VR), augmented reality (AR), mixed reality (MR or XR) can be used to...Show More

3D Modeling of Cities for Virtual Environments

Calvin Davis;Jaired Collins;Joshua Fraser;Haoxiang Zhang;Shizeng Yao;Emily Lattanzio;Bimal Balakrishnan;Ye Duan;Prasad Calyam;Kannappan Palaniappan

Year: 2021 | Conference Paper |

Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

Deniz Kavzak Ufuktepe;Jaired Collins;Ekincan Ufuktepe;Joshua Fraser;Timothy Krock;Kannappan Palaniappan

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Year: 2021 | Conference Paper |
Cited by: Papers (5)
Shadows, motion parallax, and occlusions pose significant challenges to vision tasks in wide area motion imagery (WAMI) including object identification and tracking. Although there are many successful shadow detection approaches that work well in indoor scenes, close range outdoor scenes, and spaceborne satellite images, the methods tend to fail in intermediate altitude aerial WAMI. We propose an ...Show More

Learning-Based Shadow Detection in Aerial Imagery Using Automatic Training Supervision from 3D Point Clouds

Deniz Kavzak Ufuktepe;Jaired Collins;Ekincan Ufuktepe;Joshua Fraser;Timothy Krock;Kannappan Palaniappan

Year: 2021 | Conference Paper |

Deep Realistic Novel View Generation for City-Scale Aerial Images

Koundinya Nouduri;Ke Gao;Joshua Fraser;Shizeng Yao;Hadi AliAkbarpour;Filiz Bunyak;Kannappan Palaniappan

2020 25th International Conference on Pattern Recognition (ICPR)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
In this paper we introduce a novel end-to-end framework for generation of large, aerial, city-scale, realistic synthetic image sequences with associated accurate and precise camera metadata. The two main purposes for this data are (i) to enable objective, quantitative evaluation of computer vision algorithms and methods such as feature detection, description, and matching or full computer vision p...Show More

Deep Realistic Novel View Generation for City-Scale Aerial Images

Koundinya Nouduri;Ke Gao;Joshua Fraser;Shizeng Yao;Hadi AliAkbarpour;Filiz Bunyak;Kannappan Palaniappan

Year: 2021 | Conference Paper |

Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery

Ke Gao;Hadi Aliakbarpour;Joshua Fraser;Koundinya Nouduri;Filiz Bunyak;Ricky Massaro;Guna Seetharaman;Kannappan Palaniappan

IEEE Sensors Journal
Year: 2021 | Volume: 21, Issue: 10 | Journal Article |
Cited by: Papers (16)
Ubiquitous low cost multi-rotor and fixed wing drones or unmanned aerial vehicles (UAVs) have accelerated the need for reliable, robust, and scalable Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipelines suitable for a variety of flightpath trajectories especially in degraded environments. Feature tracking being a core part of SfM and MVS, is essential for multiview scene modeling and ...Show More

Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery

Ke Gao;Hadi Aliakbarpour;Joshua Fraser;Koundinya Nouduri;Filiz Bunyak;Ricky Massaro;Guna Seetharaman;Kannappan Palaniappan

Year: 2021 | Volume: 21, Issue: 10 | Journal Article |

Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering

Kannappan Palaniappan;Mahdieh Poostchi;Hadi Aliakbarpour;Raphael Viguier;Joshua Fraser;Filiz Bunyak;Arslan Basharat;Steve Suddarth;Erik Blasch;Raghuveer M. Rao;Guna Seetharaman

2016 23rd International Conference on Pattern Recognition (ICPR)
Year: 2016 | Conference Paper |
Cited by: Papers (28)
Most Wide Area Motion Imagery (WAMI) based trackers use motion based cueing for detecting and tracking moving objects. The results are very high false alarm rates in urban environments with tall structures due to parallax effects. This paper proposes an accurate moving object detection method using a precise orthorectification approach for ground stabilization combined with accurate multiview dept...Show More

Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering

Kannappan Palaniappan;Mahdieh Poostchi;Hadi Aliakbarpour;Raphael Viguier;Joshua Fraser;Filiz Bunyak;Arslan Basharat;Steve Suddarth;Erik Blasch;Raghuveer M. Rao;Guna Seetharaman

Year: 2016 | Conference Paper |

Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery

Anoop Haridas;Rengarajan Pelapur;Joshua Fraser;Filiz Bunyak;Kannappan Palaniappan

2011 15th International Conference on Information Visualisation
Year: 2011 | Conference Paper |
Cited by: Papers (7)
The task of automated object tracking and performance assessment in low frame rate, persistent, wide spatial coverage motion imagery is an emerging research domain. The collection of hundreds to tens of thousands of dense trajectories produced by such automatic algorithms along with the subset of manually verified tracks across several coordinate systems require new tools for effective human compu...Show More

Visualization of Automated and Manual Trajectories in Wide-Area Motion Imagery

Anoop Haridas;Rengarajan Pelapur;Joshua Fraser;Filiz Bunyak;Kannappan Palaniappan

Year: 2011 | Conference Paper |

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

Kannappan Palaniappan;Filiz Bunyak;Praveen Kumar;Ilker Ersoy;Stefan Jaeger;Koyeli Ganguli;Anoop Haridas;Joshua Fraser;Raghuveer M. Rao;Guna Seetharaman

2010 13th International Conference on Information Fusion
Year: 2010 | Conference Paper |
Cited by: Papers (79)
Very large format video or wide-area motion imagery (WAMI) acquired by an airborne camera sensor array is characterized by persistent observation over a large field-of-view with high spatial resolution but low frame rates (i.e. one to ten frames per second). Current WAMI sensors have sufficient coverage and resolution to track vehicles for many hours using just a single airborne platform. We have ...Show More

Efficient feature extraction and likelihood fusion for vehicle tracking in low frame rate airborne video

Kannappan Palaniappan;Filiz Bunyak;Praveen Kumar;Ilker Ersoy;Stefan Jaeger;Koyeli Ganguli;Anoop Haridas;Joshua Fraser;Raghuveer M. Rao;Guna Seetharaman

Year: 2010 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.