Research

Research Projects at UC Computer Vision

PhD Theses

Automated Tree Model and Metric Extraction from Point Clouds (2021-)

Harry Dobbs 2021 –


Work in Progress.

Dense 3D reconstruction of high frequency structures in the vineyard. (2019-)

Casey Peat 2019 –


Work in Progress.

Mining Bloodstain Pattern data (2019-)

Rosalyn Rough 2019 –


Work in Progress.

Autonomous identification and sizing of scallops in situ (NIWA)(2019-)

Tim Rensen 2019 –


Work in Progress.

Precision of Pose Estimation using Corner Detection (2015-2021)

Matthew Edwards 2015-2021


Verification based annotation for visual recognition (2012-2016)

Oliver Batchelor 2012-2016


Inference of vine structures from images (2012-2016)

Ricardo Marin 2012-2016


The Application of Harmony Search in Computer Vision (2008-2011)

Jaco Fourie 2008-2011


Real Time Human Tracking in Unconstrained Environments (2005-2010)

Hongzhi Gao 2005-2010

Texture-boundary detection in real-time (2006-2010)

Ray Hidayat 2006-2010

Masters Theses

Robotic arm path planning for automatic grape vine pruning

Andrew de Wet 2023 –

Work In Progress

CNN identification of vineyard posts and trunks in 3D datasets

William Herewini 2022 –

Work In Progress

Long range moiré patterns (2019-2021)

Sam Banks 2019-2021

Tree position detection for autonomous UAV navigation (2016-2017)

Scott (Peiwen) Luo 2016-2017

Quantifying human behaviour in a retail environment (2014-2016)

Amr Dahawi 2014-2016

Real-Time Hybrid Tracking for Outdoor Augmented Reality (2011-2013)

Samuel Williams 2011-2013

Plant species biometric using feature hierarchies (2007-2008)

Kapila Pahalawatta 2007-2008

BE Hons

Honours (BSc, BE) Projects

  1. Andrew Clifford 2021 Onboard Automated Collision Avoidance for Drones using RGBD Video
  2. Yu Duan 2021 Whale Geometry: Estimate the Size of Free-living Whales
  3. Jerome Grubb 2021 Forest restoration and forecasting
  4. Phillip Kim 2021 Improving the reliability and ease of bloodstain pattern analysis with quantitative techniques
  5. Laurence McKnight 2021 Improving the reliability and ease of bloodstain pattern analysis with quantitative techniques
  6. Hamish O’Keeffe 2021 Research projects in Aquaculture Technology
  7. David Turton 2021 Forest restoration and forecasting
  8. Manoj  Paladugu 2020 Protecting our borders from biosecurity threats: Six-sided container scanning to identify threats
  9. Joel Ridden 2020 Protecting our borders from biosecurity threats: Six-sided container scanning to identify threats
  10. Michael Shannon 2020 Protecting our borders from biosecurity threats: Six-sided container scanning to identify threats
  11. Aaron Smith 2020 Protecting our borders from biosecurity threats: Six-sided container scanning to identify threats
  12. Gavin Ong 2020 Autonomous Carts
  13. Priyesh Shah 2020 Autonomous Carts
  14. Max Andrew 2020 Orchard and Vineyard robotic scanning platform
  15. Vikas Shenoy 2020 Orchard and Vineyard robotic scanning platform
  16. Kevin Langbroek 2020 Orchard and Vineyard robotic scanning platform
  17. George Khella 2020
  18. Tim Chang 2020
  19. Campbell Mercer-Butcher 2020
  20. Marvin Goesmann 2020
  21. Alan Brook 2019 South Pacific Sera Ltd Visit Wilding Pines with a Drone
  22. Alex Tompkins 2019 ESR Automated Method for Single Bloodstain Measurement
  23. Jack Hay 2019 South Pacific Sera Ltd Visit Wilding Pines with a Drone
  24. James Morritt 2019 South Pacific Sera Ltd Visit Wilding Pines with a Drone
  25. Lachlan Brewster 2019 South Pacific Sera Ltd Visit Wilding Pines with a Drone
  26. David Lee 2018 Collecting Forest Metrics using UAV Photogrammetry
  27. Sam Bates 2018 Collecting Forest Metrics using UAV Photogrammetry
  28. Sam Beeston 2018 Collecting Forest Metrics using UAV Photogrammetry
  29. William Muir 2018 Collecting Forest Metrics using UAV Photogrammetry
  30. Dale Baker 2017 Detecting​ ​Branches​ ​In​ ​Depth​ ​Images​ ​Generated​ ​By​ ​An​ ​R200​ ​Camera
  31. Josh Nimmo 2017 Pedestrian Detection and Collision Avoidance
  32. Zac Todd 2017
  33. Bradley Kirwan 2016 Multi-hop ad hoc communication over WiFi in a UAV Swarm
  34. Haydon Baddock 2016 Wheelchair Data Logger
  35. James Harrison 2016 UAV Swarm: Localisation within a known indoor environment utilising fiducial markers
  36. Jay Harris 2016
  37. Josh Norton 2016
  38. Sam Schofield 2016 UAV Swarm: Autonomous Environment Mapping
  39. Su-Shing Chen 2016 Collision Avoidance with UAV Swarms
  40. Stephenson M, 2015
  41. Klopper J, 2013
  42. McCulloch J, 2013
  43. Watson R, 2013
  44. Flowers S, 2012
  45. Rasmus E, 2012
  46. Gittoes W, 2011
  47. Baguley G, 2009
  48. Eliot M, 2007
  49. Kelly B, 2006
  50. Sarjeant S, 2006
  51. Schoo M, 2006
  52. Highet R, 2004
  53. Vaghani K, 2004