Mr Dylan Campbell

Dylan Campbell
PhD student
Research Area:

🔗 Research Website

Data61/CSIRO, GPO Box 1700, Canberra ACT 2601
Building 801, North Science Road, Acton ACT 2601

I am a PhD student at the College of Engineering and Computer Science of the Australian National University, where I am supervised by Lars Petersson, Laurent Kneip and Hongdong Li. I am also a research assistant in the Cyber-Physical Systems group of Data61 − CSIRO, where I work on Resource Constrained Vision. Prior to that, I received a BE in Mechatronic Engineering (Hons) from the University of New South Wales.

My research interests within computer vision are geometric sensor data alignment, 3D vision, camera localisation, SLAM (Simultaneous Localisation and Mapping) and structure from motion, as well as the underlying geometry and optimisation problems.

Dylan Campbell, Lars Petersson, Laurent Kneip and Hongdong Li
Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
The 16th International Conference on Computer Vision (ICCV), Venice, Italy, 2017 [Oral Presentation]

Dylan Campbell and Lars Petersson
GOGMA: Globally-Optimal Gaussian Mixture Alignment
The 32nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016 [Spotlight]

Jiaolong Yang, Hongdong Li, Dylan Campbell and Yunde Jia
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

Dylan Campbell and Lars Petersson
An Adaptive Data Representation for Robust Point-Set Registration and Merging
The 15th International Conference on Computer Vision (ICCV), Santiago, Chile, 2015

Dylan Campbell and Mark Whitty
Metric-Based Detection of Robot Kidnapping with an SVM Classifier
Robotics and Autonomous Systems (RAS), 2015

Dylan Campbell and Mark Whitty
Metric-Based Detection of Robot Kidnapping
The 6th European Conference on Mobile Robots (ECMR), Barcelona, Spain, 2013 [Oral Presentation]

Dylan Campbell, Mark Whitty and Samsung Lim
Mobile 3D Indoor Mapping Using the Continuous Normal Distributions Transform
The 3rd International Conference on Indoor Positioning and Indoor Navigation (IPIN), Sydney, Australia, 2012 [Oral Presentation]

Education

Australian National University / Data61 | CSIRO

PhD Engineering & Computer Science 2013+

University of New South Wales

BE Mechatronic (Hons) 2008–2012

Academic Service

Teaching & Tutoring

  • Computer Vision (ENGN4528/ENGN6528), ANU, 2016–2017
  • Engineering Research & Development Project (ENGN3706), ANU, 2016
  • Elements of Mechatronic Systems (MTRN3200), UNSW, 2013
  • Indigenous Tutorial Assistance Scheme, UNSW, 2013

Conference Program Committee Member / Reviewer and Journal Reviewer

  • Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 2016, 2017
  • International Conference on Computer Vision (ICCV), 2015, 2017
  • Transactions on Image Processing (TIP)

 

Updated:  8 September 2015/Responsible Officer:  Head of School/Page Contact:  CECS Marketing