- An Efficient Recursive Factorization Method for Determining Structure from Motion
- Issues in Automated Visual Surveillance Anthony R. Dick and Michael J. Brooks
- Fast Global Kernel Density Mode Seeking with application to Localisation and Tracking
- What Value Covariance Information in Estimating Vision Parameters? Michael J. Brooks, Wojciech Chojnacki, Darren Gawley, Anton van den Hengel
- From FNS to HEIV: A Link between Two Vision Parameter Estimation Methods
- CONSTRAINED GENERALISED PRINCIPAL COMPONENT Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks
- Journal of Mathematical Imaging and Vision 23: 175183, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
- A new constrained parameter estimator for computer vision applications
- Revisiting Hartley's Normalized Eight-Point Algorithm
- Journal of Mathematical Imaging and Vision 7, 139147 (1997) c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Recovering Unknown Focal Lengths in Self-Calibration: An Essentially Linear Algorithm and Degenerate Con gurations
- Classification-Based Likelihood Functions for Bayesian Tracking Chunhua Shen1,2
- A MULTI-OBJECTIVE PARAMETER ESTIMATOR FOR IMAGE MOSAICING Tony Scoleri, Wojciech Chojnacki, Michael J. Brooks
- A new constrained parameter estimator: experiments in fundamental matrix
- Towards intelligent networked video surveillance for the detection of suspicious behaviours
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 5, MAY 2007 1457 Fast Global Kernel Density Mode Seeking
- A new approach to constrained parameter estimation applicable to some computer vision problems
- On the Fitting of Surfaces to Data with Covariances
- Journal of Mathematical Imaging and Vision 14, 2138, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
