Bachelor of Information Technology with Honours
Contact details for Nicholas Dahm
Thesis
Advances in Graph Theory for Image Interpretation
Description
Graphs are a powerful tool in structural pattern recognition, however their use in image interpretation is limited due to their high computational complexity. We look at ways to overcome this barrier by creating faster algorithms for graph matching, and novel ways to utilise graph structure for image interpretation.
Supervisors
Associate Professor Yongsheng Gao
Professor Terry Caelli (NICTA)
Research expertise
- Graph Theory
- Image Interpretation
- Face Recognition
- 3D Pattern Recognition
Publications
- N. Dahm and Y. Gao, "A novel pose invariant face recognition approach using a 2D-3D searching strategy," in 20th International Conference on Pattern Recognition, pp. 3967–3970, 2010.