Alexandria Digital Research Library

Modeling and Calibrating the Distributed Camera

Author:
Sweeney, Christopher M.
Degree Grantor:
University of California, Santa Barbara. Computer Science
Degree Supervisor:
Matthew Turk and Tobias Hollerer
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2016
Issued Date:
2016
Topics:
Computer science
Keywords:
Structure from Motion
3D Modelling
Computer Vision
3D Reconstruction
Genres:
Dissertations, Academic and Online resources
Dissertation:
Ph.D.--University of California, Santa Barbara, 2016
Description:

Structure-from-Motion (SfM) is a powerful tool for computing 3D reconstructions from images of a scene and has wide applications in computer vision, scene recognition, and augmented and virtual reality. Standard SfM pipelines make strict assumptions about the capturing devices in order to simplify the process for estimating camera geometry and 3D structure. Specifically, most methods require monocular cameras with known focal length calibration. When considering large-scale SfM from internet photo collections, EXIF calibrations cannot be used reliably. Further, the requirement of single camera systems limits the scalability of SfM.

This thesis proposes to remove these constraints by instead considering the collection of cameras as a distributed camera that encapsulates the image and geometric information of all cameras simultaneously. First, I provide full generalizations to the relative camera pose and absolute camera pose problems. These generalizations are more expressive and extend the traditional single-camera problems to distributed cameras, forming the basis for a novel hierarchical SfM pipeline that exhibits state-of-the-art performance on large-scale datasets. Second, I describe two efficient methods for estimating camera focal lengths for the distributed camera when calibration is not available. Finally, I show how removing these constraints enables a simpler, more scalable SfM pipeline that is capable of handling uncalibrated cameras at scale.

Physical Description:
1 online resource (151 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3wm1d7j
ISBN:
9781339671758
Catalog System Number:
990046534670203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Chris Sweeney
File Description
Access: Public access
Sweeney_ucsb_0035D_12931.pdf pdf (Portable Document Format)