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Results 11-20 of 24 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2001Is covariance information useful in estimating vision parameters?Brooks, M.; Chojnacki, W.; Gawley, D.; Van Den Hengel, A.; El-Hakim, S.; Gruen, A.; SPIE Conference on Visual Data Exploration and Analysis (2001 : San Jose, California)
2003A voting scheme for estimating the synchrony of moving-camera videosPooley, D.; Brooks, M.; Van Den Hengel, A.; Chojnacki, W.; Torres, L.; IEEE International Conference on Image Processing (2003 : Barcelona, Spain)
2003Revisiting Hartley's normalized eight-point algorithmChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2000On the fitting of surfaces to data with covariancesChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2004From FNS to HEIV: A link between two vision parameter estimation methodsChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2004A new constrained parameter estimator for computer vision applicationsChojnacki, W.; Brooks, M.; Van Den Hengel, A.; Gawley, D.
2000Fundamental matrix from optical flow: optimal computation and reliability evaluationKanatani, K.; Shimizu, Y.; Ohta, N.; Brooks, M.; Chojnacki, W.; Van Den Hengel, A.
2009Multi-projective Parameter Estimation for Sets of Homogeneous MatricesChojnacki, W.; Hill, R.; Van Den Hengel, A.; Brooks, M.; Shi, H.; Zhang, Y.C.; Bottema, M.J.; Lovell, B.C.; Maeder, A.J.; Digital Image Computing: Techniques and Applications (2009 : Melbourne, Australia)
2010Multiple homography estimation with full consistency constraintsChojnacki, W.; Szpak, Z.; Brooks, M.; Van Den Hengel, A.; Zhang, J.; Shen, C.; Geers, G.; Digital Image Computing: Techniques and Applications (2010 : Sydney, Australia)
2001What value covariance information in estimating vision parameters?Brooks, M.; Chojnacki, W.; Gawley, D.; Van Den Hengel, A.; Bob Werner,; IEEE International Conference on Computer Vision (8th : 2001 : Vancouver, Canada)