Andrew R. Buck, Ph.D.

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2023+

Frame Selection Strategies for Real-Time Structure-from-Motion from an Aerial Platform

Andrew R. Buck, Jack D. Akers, Derek T. Anderson, James M. Keller, Raub Camaioni, Matthew Deardorff, Robert H. Luke III

2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023

AIPR, Depth Estimation, Simulation, Drones

[DOI] [paper] [slides]

Improving Real-Time Aerial 3D Reconstruction: Towards Fusion of a Hand-Crafted SfM Algorithm with a Data-Driven Deep Neural Network

Jack Akers, Andrew Buck, Derek Anderson, James Keller, Raub Camaioni, Matthew Deardorff, Robert Luke III

2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), St. Louis, MO, USA, 2023

AIPR, Depth Estimation, Simulation, Drones

Capturing Uncertainty in Monocular Depth Estimation: Towards Fuzzy Voxel Maps

Andrew R. Buck, Derek T. Anderson, Raub Camaioni, Jack Akers, Robert H. Luke III

2023 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Songdo Incheon, Korea, 2023

FUZZ-IEEE, Depth Estimation, Simulation, Voxels

[DOI] [paper] [slides]

Ignorance Is Bliss: Flawed Assumptions in Simulated Ground Truth

Andrew R. Buck, Derek T. Anderson, Joshua Fraser, Jeffrey Kerley, Kannappan Palaniappan

Proc. SPIE 12529, Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications, 2023

SPIE, Depth Estimation, Simulation

[DOI] [paper] [slides] [video]

2022+

EpiDepth: A Real-Time Monocular Dense-Depth Estimation Pipeline Using Generic Image Rectification

Raub Camaioni, Robert H. Luke III, Andrew Buck, Derek T. Anderson

Proc. SPIE 12099, Geospatial Informatics XII, 2022

SPIE, Depth Estimation, Drones

[DOI] [paper] [video]