M. Brooks

发表

Berthold K. P. Horn, M. Brooks, Berthold K. P. Horn, 1989 .

Recovering unknown focal lengths in self-calibration: an essentially linear algorithm and degenerate configurations

M. Brooks, G. Newsam, D. Huynh, 1996 .

M. Brooks, 1978 .

What value covariance information in estimating vision parameters?

M. Brooks, A. V. Hengel, W. Chojnacki, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

The variational approach to shape from shading

Michael J. Brooks, Berthold K. P. Horn, M. Brooks, 1986, Comput. Vis. Graph. Image Process..

Revisiting Pentland's estimator of light source direction

M. Brooks, W. Chojnacki, D. Gibbins, 1994 .

Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables

Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel, 2015, Machine Vision and Applications.

Dimensionality reduction for more stable vision parameter estimation

M. Brooks, W. Chojnacki, Tony Scoleri, 2008 .

Ac ce pt ed m an us cr ip t Supervised Dimensionality Reduction via Sequential Semidefinite Programming

M. Brooks, Chunhua Shen, Hongdong Li, 2008 .

The following paper posted here is not the official IEEE published version

M. Brooks, Chunhua Shen, Hongdong Li, 2008 .

An analytical approach to determining the ego-motion of a camera having free intrinsic parameters

M. Brooks, 2002 .

A new inconsistency measure for linear systems and two applications in motion analysis

Anthony Dick, M. Brooks, A. Dick, 2009, 2009 24th International Conference Image and Vision Computing New Zealand.

Revisiting the Renormalisation Method of Kanatani Wojciech Chojnacki

M. Brooks, A. V. Hengel, A. Hengel, 2007 .

A new combination of local and global constraints for optical flow computation

M. Brooks, A. Dick, Y. Niu, 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

Neural network region-based inexact relational medical image matching

Abdesselam Bouzerdoum, Michael J. Brooks, Steven M. Vajdic, 1995, IEA/AIE '95.

Neural network architectures: medical image segmentation approach as a step towards medical image fusion

Abdesselam Bouzerdoum, Michael J. Brooks, Steven M. Vajdic, 1995, IEA/AIE '95.

A constrained parameter estimation approach for some vision problems

M. Brooks, A. V. Hengel, W. Chojnacki, 2004 .

Supervised dimensionality reduction via sequential semidefinite programming

Hongdong Li, Chunhua Shen, Michael J. Brooks, 2008, Pattern Recognit..

A Stochastic Approach to Tracking Objects Across Multiple Cameras

Michael J. Brooks, Anthony R. Dick, M. Brooks, 2004, Australian Conference on Artificial Intelligence.

Robust Techniques for the Estimation of Structure from Motion in the Uncalibrated Case

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 1998, ECCV.

Is covariance information useful in estimating vision parameters?

Wojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, 2000, IS&T/SPIE Electronic Imaging.

On the Fitting of Surfaces to Data with Covariances

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Estimating Vision Parameters given Data with Covariances

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2000, BMVC.

Towards robust metric reconstruction via a dynamic uncalibrated stereo head

Du Q. Huynh, Michael J. Brooks, Luis Baumela, 1998, Image Vis. Comput..

Self-calibrating a stereo head: an error analysis in the neighbourhood of degenerate configurations

Du Q. Huynh, Michael J. Brooks, Lourdes de Agapito, 1997, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

Direct Methods for Self-Calibration of a Moving Stereo Head

Du Q. Huynh, Michael J. Brooks, Luis Baumela, 1996, ECCV.

Shape and Source from Shading

Michael J. Brooks, Berthold K. P. Horn, M. Brooks, 1985, IJCAI.

Multiple Homography Estimation with Full Consistency Constraints

Zygmunt L. Szpak, Wojciech Chojnacki, Anton van den Hengel, 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

Multi-projective Parameter Estimation for Sets of Homogeneous Matrices

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2009, 2009 Digital Image Computing: Techniques and Applications.

Issues in Automated Visual Surveillance

Michael J. Brooks, Anthony R. Dick, M. Brooks, 2003, DICTA.

Determining the egomotion of an uncalibrated camera from instantaneous optical flow

Wojciech Chojnacki, Michael J. Brooks, Luis Baumela, 1997 .

Fitting surfaces to data with covariance information: Fundamental methods applicable to computer vision

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 1999 .

A Decoupled Algorithm for Vision Parameter Estimation with Application to the Trifocal Tensor

Wojciech Chojnacki, Michael J. Brooks, Tony Scoleri, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

A Consistency Result for the Normalized Eight-Point Algorithm

Wojciech Chojnacki, Michael J. Brooks, M. Brooks, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

On the Consistency of the Normalized Eight-Point Algorithm

Wojciech Chojnacki, Michael J. Brooks, M. Brooks, 2007, Journal of Mathematical Imaging and Vision.

Constrained generalised principal component analysis

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2006, VISAPP.

Generalised Principal Component Analysis: Exploiting Inherent Parameter Constraints

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2006, VISIGRAPP.

A multi-objective parameter estimator for image mosaicing

Wojciech Chojnacki, Michael J. Brooks, Tony Scoleri, 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..

Determining the Translational Speed of a Camera from Time-Varying Optical Flow

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2004, IWCM.

A new constrained parameter estimator for computer vision applications

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2004, Image Vis. Comput..

Rationalising the Renormalisation Method of Kanatani

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2001, Journal of Mathematical Imaging and Vision.

From FNS to HEIV: a link between two vision parameter estimation methods

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

FNS and HEIV: relating two vision parameter estimation frameworks

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

A statistical rationalisation of Hartley's normalised eight-point algorithm

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

Revisiting Hartley's Normalized Eight-Point Algorithm

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

FNS, CFNS and HEIV: Extending Three Vision Parameter Estimation Methods

Wojciech Chojnacki, Anton van den Hengel, Michael J. Brooks, 2003, DICTA.

Surface-Normals from Closed Paths

Michael J. Brooks, M. Brooks, 1979, IJCAI.

Linking local and global optical flow computation by subspace regularization

Michael J. Brooks, Anthony Dick, Yan Niu, 2013 .

Direct computation of shape from shading

Wojciech Chojnacki, Michael J. Brooks, M. Brooks, 1994, Proceedings of 12th International Conference on Pattern Recognition.

Circularly symmetric eikonal equations and non-uniqueness in computer vision

Wojciech Chojnacki, Michael J. Brooks, Ryszard Kozera, 1992 .

Impossible and ambiguous shading patterns

Wojciech Chojnacki, Michael J. Brooks, Ryszard Kozera, 2004, International Journal of Computer Vision.

Enhanced Importance Sampling: Unscented Auxiliary Particle Filtering for Visual Tracking

Anton van den Hengel, Chunhua Shen, Michael J. Brooks, 2004, Australian Conference on Artificial Intelligence.

Self-Calibrating Cameras Using Semidefinite Programming

Hongdong Li, Chunhua Shen, Michael J. Brooks, 2008, 2008 Digital Image Computing: Techniques and Applications.

Classification-Based Likelihood Functions for Bayesian Tracking

Hongdong Li, Chunhua Shen, Michael J. Brooks, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

A Note on the Locally Linear Embedding Algorithm

Wojciech Chojnacki, Michael J. Brooks, M. Brooks, 2009, Int. J. Pattern Recognit. Artif. Intell..

Feature Extraction Using Sequential Semidefinite Programming

Hongdong Li, Chunhua Shen, Michael J. Brooks, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Fast global kernel density mode seeking with application to localization and tracking

Anton van den Hengel, Chunhua Shen, Michael J. Brooks, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Augmented particle filtering for efficient visual tracking

Anton van den Hengel, Chunhua Shen, Michael J. Brooks, 2005, IEEE International Conference on Image Processing 2005.

RATSAC: An Adaptive Method for Accelerated Robust Estimation and its Application to Video Synchronisation

Anton van den Hengel, Michael J. Brooks, Daniel Pooley, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Multiple target tracking with an efficient compact colour correlogram

Pankaj Kumar, Michael J. Brooks, Anthony R. Dick, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Discontinuity-Preserving Optical Flow Computation by a Dynamic Overdetermined System

Michael J. Brooks, Anthony R. Dick, Yan Niu, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Visual tracking via efficient kernel discriminant subspace learning

Anton van den Hengel, Chunhua Shen, Michael J. Brooks, 2005, IEEE International Conference on Image Processing 2005.

Two Results Concerning Ambiguity in Shape From Shading

M. Brooks, 1983, AAAI.

Locally Oriented Optical Flow Computation

Michael J. Brooks, Anthony R. Dick, Yan Niu, 2012, IEEE Transactions on Image Processing.

Fast Global Kernel Density Mode Seeking: Applications to Localization and Tracking

Anton van den Hengel, Chunhua Shen, Michael J. Brooks, 2007, IEEE Transactions on Image Processing.

AI 2001: Advances in Artificial Intelligence

Markus Stumptner, Dan Corbett, Michael J. Brooks, 2002, Lecture Notes in Computer Science.