[4eyes] Chris' PhD defense - 2pm today in the CS conference room

[Matthew Turk]

Today’s lab meeting is Chris Sweeney’s PhD defense at 2pm. I hope to see
everyone there!

 

            Matthew

 

PhD Defense - Christopher Sweeney

Date: 

Friday, January 22, 2016 - 2:00pm

Location: 

Harold Frank Hall 1132

Title: 

Modeling and Calibrating the Distributed Camera

Committee: 

Tobias Höllerer (Co-Chair), Matthew Turk (Co-Chair), Pradeep Sen, Noah
Snavely

Abstract

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 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.

Everyone welcome!

 

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