Introduction to theoretical kinematics
Introduction to theoretical kinematics
Using vanishing points for camera calibration
International Journal of Computer Vision
Image and Vision Computing - Special issue on the first ECCV 1990
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Data Structures and Algorithms
Data Structures and Algorithms
Linear Multi View Reconstruction and Camera Recovery Using a Reference Plane
International Journal of Computer Vision
Bayesian Model Estimation and Selection for Epipolar Geometry and Generic Manifold Fitting
International Journal of Computer Vision
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Motion Curves for Parametric Shape and Motion Estimation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Building Architectural Models from Many Views Using Map Constraints
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
A Bayesian Estimation of Building Shape Using MCMC
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Propagating Covariance in Computer Vision
Proceedings of the Theoretical Foundations of Computer Vision, TFCV on Performance Characterization in Computer Vision
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Modelling with Constraints: A Bibliographical Survey
IV '98 Proceedings of the International Conference on Information Visualisation
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Ideals, Varieties, and Algorithms: An Introduction to Computational Algebraic Geometry and Commutative Algebra, 3/e (Undergraduate Texts in Mathematics)
Motion Analysis with the Radon Transform on Log-Polar Images
Journal of Mathematical Imaging and Vision
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This paper presents an approach to shape and motion estimation that integrates heterogeneous knowledge into a unique model-based framework. We describe the observed scenes in terms of structured geometric elements (points, line segments, rectangles, 3D corners) sharing explicitly Euclidean relationships (orthogonality, parallelism, colinearity, coplanarity). Camera trajectories are represented with adaptative models which account for the regularity of usual camera motions.Two different strategies of automatic model building lead us to reduced models for shape and motion estimation with a minimal number of parameters. These models increase the robustness to noise and occlusions, improve the reconstruction, and provide a high-level representation of the observed scene. The parameters are optimally computed within a sequential Bayesian estimation procedure that gives accurate and reliable results on synthetic and real video imagery.