Automated 3D surface reconstruction of bird flight
Abstract/Contents
- Abstract
- Birds are able to both takeoff from a standstill and fly efficiently in forward flight, and in order to understand the biomechanics that enable them to do so, we quantify the shape and movement of their wings. Whereas previous studies that quantify 3D wing kinematics usually track a few 3D points on the bird manually, here we present a custom computer vision method that reconstructs the 3D surface of flying birds using high-speed cameras and projectors. This new structured-light approach is automated for high throughput of data and robustly reconstruct rapidly deforming objects at tested speeds of up to 3200 Hz. In order for these cameras and projectors to work from multiple view angles, we also develop an automated multi-camera-projector calibration method. This user-friendly calibration method is based on an integrated calibration target, image acquisition procedure, and algorithmic solution that achieves high accuracy by simultaneously calibrating all of the cameras and projectors. Using these new methods, we examine how the angle of attack and wing shape changes of a flying parrotlet (Forpus coelestis) enable it to take off from a standstill. We also combine these computer vision techniques with synchronized high-speed measurements of the vertical and horizontal aerodynamic forces produced during flight and the strain of the pectoralis muscle of a flying dove (Streptopelia risoria) to examine how bird muscles power strenuous flight modes such as takeoff and slow flight.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2019; ©2019 |
Publication date | 2019; 2019 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Deetjen, Marc E | |
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Degree supervisor | Lentink, David, 1975- | |
Thesis advisor | Lentink, David, 1975- | |
Thesis advisor | Collins, Steve (Steven Hartley) | |
Thesis advisor | Wetzstein, Gordon | |
Degree committee member | Collins, Steve (Steven Hartley) | |
Degree committee member | Wetzstein, Gordon | |
Associated with | Stanford University, Department of Mechanical Engineering. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Marc Deetjen. |
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Note | Submitted to the Department of Mechanical Engineering. |
Thesis | Thesis Ph.D. Stanford University 2019. |
Location | electronic resource |
Access conditions
- Copyright
- © 2019 by Marc E Deetjen
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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