Dr Danny Gibbins

Expand

• Appointments

  Date	Position	Institution name
  2006	Senior Research Fellow	The University of Adelaide
  1996 - 2005	Sensior Research Fellow	CRC For Sensor Signal & Information Processing

• Education

  Date	Institution name	Country	Title
  1990 - 1994	The Flinders University of South Australia	Australia	PhD
  1984 - 1988	The Flinders University of South Australia	Australia	BSc Hons (1st class)

• Research Interests

  Artificial Intelligence & Image Processing Image Processing Pattern Recognition and Data Mining Signal Processing

Expand

• Journals

  Year	Citation
  2009	Ho, H., & Gibbins, D. (2009). Curvature-based approach for multi-scale feature extraction from 3D meshes and unstructured point clouds. IET Computer Vision, 3(4), 201-212. DOI
  2008	Sanderson, C., Gibbins, D., & Searle, S. (2008). On statistical approaches to target silhouette classification in difficult conditions. Digital Signal Processing, 18(3), 375-390. DOI Scopus9 WoS8
  2006	Cooke, T., Martorella, M., Haywood, B., & Gibbins, D. (2006). Use of 3D ship scatterer models from ISAR image sequences for target recognition. Digital Signal Processing, 16(5), 453-652.
  2006	Rice, F., Cooke, T., & Gibbins, D. (2006). Model based ISAR ship classification. Digital Signal Processing, 16(5), 628-637. DOI

• Conference Papers

  Year	Citation
  2013	McKenzie, M., Wong, S., & Gibbins, D. (2013). An empirical evaluation of infrared clutter for point target detection algorithms. In F. Sadjadi, & A. Mahalanobis (Eds.), Proceedings of SPIE Volume 8744 Vol. 8744 (pp. 874409-1-874409-9). United States: SPIE - International Society for Optical Engineering. DOI Scopus1 WoS1
  2012	Mohiuddin, Z., Haghighi, M., Stokes, Y., Carageorgos, T., & Gibbins, D. (2012). Pore scale visualization and simulation of miscible displacement process under gravity domination. In Society of Petroleum Engineers - International Petroleum Technology Conference 2012, IPTC 2012 Vol. 4 (pp. 3148-3160). USA: IPTC. DOI Scopus1
  2011	Gururatsakul, S., Gibbins, D., & Kearney, D. (2011). A simple deformable model for shark recognition. In Proceedings of the 2011 Canadian Conference on Computer and Robot Vision, CRV 2011 (pp. 234-241). USA: IEEE. DOI Scopus2
  2011	Mohiuddin, Z., Haghighi, M., Stokes, Y., Carageorgos, T., & Gibbins, D. (2011). Pore scale visualization and simulation of miscible displacement process under gravity domination. In International Petroleum Technology Conference 2011, IPTC 2011. Scopus1
  2010	Gururatsakul, S., Gibbins, D., Kearney, D., & Lee, I. (2010). Shark detection using optical image data from a mobile aerial platform. In International Conference Image and Vision Computing New Zealand. IEEE. DOI Scopus4
  2009	Gibbins, D., & Swierkowski, L. (2009). A comparison of terrain classification using local feature measurements of 3-dimensional colour point-cloud data. In Proceedings of the 24th International Conference Image and Vision Computing New Zealand (pp. 293-298). CD ROM: IEEE. DOI Scopus3 WoS2
  2008	Ho, H., & Gibbins, D. (2008). Multi-scale feature extraction for 3D surface registration using local shape variation. In Proceedings of the 23rd International Conference Image and Vision Computing (pp. 1-6). NZ: IEEE. DOI Scopus8
  2008	Ho, H., & Gibbins, D. (2008). Multi-scale feature extraction for 3D models using local surface curvature. In A. Robles Kelly (Ed.), Proceedings of DICTA 2008 (pp. 16-23). CD: IEEE. DOI Scopus14
  2007	Newland, C., Gray, D., & Gibbins, D. (2007). Modified Kalman filtering filtering for image super-resolution: experimental convergence results. In R. de Figueiredo (Ed.), Proceedings of the Ninth IASTED International Conference on Signal and Image Processing (pp. 58-63). CDROM: IASTED. Scopus2
  2006	Newland, C., Gray, D., & Gibbins, D. (2006). Modified Kalman filtering for image super-resolution. In J. Morris, & P. Delmas (Eds.), Proceedings of IVCNZ 2006 (pp. 79-84). New Zealand: University of Auckland.
  2004	Sanderson, K., & Gibbins, D. (2004). On classifying silhouettes in adverse conditions. In M. Palaniswami (Ed.), Proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference (pp. CD-ROM 173-CD-ROM 178). CD-ROM: IEEE. DOI
  2004	Gibbins, D., Roberts, P., & Swierkowski, L. (2004). A video geo-location and image enhancement tool for small unmanned air vehicles (UAVs). In M. Palaniswami (Ed.), Proceedings of the 2004 Intelligent Sensors, Sensor Networks & Information Processing Conference (pp. CD-ROM 469-CD-ROM 474). CD-ROM: IEEE. DOI
  —	Slomka, S., Gibbins, D., Gray, D., & Haywood, B. (n.d.). Features for high resolution radar range profile based ship classification. In ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359). Queensland Univ. Technol. DOI

• Patents

  Year	Citation
  2010	Brooks, M. J., Gibbins, D., & Newsam, G. (2010). US7688997 B2, Non-Motion Detection. USA.

Courses Taught:

• ELECENG 4061/7060 Image Sensors and Processing     (2006-present)

Courses Coordinated:

• DEFSCI 7016A/B Masters of Sciences (defence)  (2006-present)
• ELECENG 4068A - Honors project (2014)
• 7ELECENG 7076-7078 - Masters project (2014)

Expand

• Past Higher Degree by Research Supervision (University of Adelaide)

  Date	Role	Research Topic	Program	Degree Type	Student Load	Student Name
  2008 - 2009	Principal Supervisor	3D Surface Matching from Range Images using Multiscale Local Features	Master of Applied Science	Master	Full Time	Mr Huy Ho
  2007 - 2012	Co-Supervisor	Extensions to the Probabilistic Multi-Hypothesis Tracker for Tracking, Navigation and SLAM	Doctor of Philosophy	Doctorate	Full Time	Mr Brian Shing Bun Cheung

• Position: Senior Research Fellow
• Phone: 83133162
• Email: danny.gibbins@adelaide.edu.au
• Fax: 8313 4360
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 2
• Room: 2 24
• Org Unit: School of Electrical and Electronic Engineering