Robust regression and outlier detection
Robust regression and outlier detection
Robust regression methods for computer vision: a review
International Journal of Computer Vision
A theory of self-calibration of a moving camera
International Journal of Computer Vision
Geometric computation for machine vision
Geometric computation for machine vision
Artificial Intelligence - Special volume on computer vision
The first order expansion of motion equations in the uncalibrated case
Computer Vision and Image Understanding
Using collineations to compute motion and structure in an uncalibrated image sequence
International Journal of Computer Vision
In Defense of the Eight-Point Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bias in Robust Estimation Caused by Discontinuities and Multiple Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Using Specific Displacements to Analyze Motion without Calibration
International Journal of Computer Vision
Heteroscedastic Regression in Computer Vision: Problems with Bilinear Constraint
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Statistical Optimization for Geometric Computation: Theory and Practice
Statistical Optimization for Geometric Computation: Theory and Practice
Implicit and Explicit Camera Calibration: Theory and Experiments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Selected Papers from the Internaltional Seminar on Partial Evaluation
Selected Papers from the Internaltional Seminar on Partial Evaluation
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Automatic Singularity Test for Motion Analysis by an Information Criterion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Experimental Self-Calibration from Four Views
ICIAP '95 Proceedings of the 8th International Conference on Image Analysis and Processing
Statistical analysis of quadratic problems in computer vision
Statistical analysis of quadratic problems in computer vision
An unbiased implementation of regularization mechanisms
Image and Vision Computing
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We revisit the problem of parameter estimation in computer vision, reconsidering and implementing what may be called the Kanatani's estimation method, presented here as a simple optimisation problem, so (a) without any direct reference to a probabilistic framework but (b) considering (i) non-linear implicit measurement equations and parameter constraints, plus (ii) robust estimation in the presence of outliers and (iii) multi-model comparisons.Here, (A) a projection algorithm based on generalisations of square-root decompositions allows an efficient and numerically stable local resolution of a set of non-linear equations. On the other hand, (B) a robust estimation module of a hierarchy of non-linear models has been designed and validated.A step ahead, (C) the software architecture of the estimation module is discussed with the goal of being integrated in reactive software environments or within applications with time constraints, while an experimentation considering the parameterisation of retinal displacements between two views is proposed as an illustration of the estimation module.