Titlebook: Statistical Methods in Video Processing; ECCV 2004 Workshop S Dorin Comaniciu,Rudolf Mester,David Suter Conference proceedings 2004 Springe

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Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis TLS based estimation with suitably chosen weights and it will be shown how to compute them for general noise models. The new method is applicable to a wide class of problems which share the same mathematical core. For demonstration purposes, we have chosen ellipse fitting as a experimental example.

兽皮

0302-9743 orkshop of ECCV 2004, the 8th European Conference on Computer Vision. A total of 30 papers were submitted to the workshop. Of these, 17 papers were accepted for presentation and included in these proceedings, following a double-blind review process. The workshop had 42 registered participants. The f

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Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibratedby a hand-held digital camera. A fully automatic data processing pipeline is proposed. Highly discriminative features are first detected in all images. Correspondences are then found in all image pairs by wide-baseline stereo matching and used in a scene structure and camera reconstruction step that

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Geometric Structure of Degeneracy for Multi-body Motion Segmentationund, however, that methods that perform very well in simulations perform very poorly for real video sequences. This paper resolves this mystery by analyzing the geometric structure of the degeneracy of the motion model. This leads to a new segmentation algorithm: a multi-stage unsupervised learning

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Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettesom an unknown viewpoint. A non-parametric density model of object shape is learned for the given object class by collecting multi-view silhouette examples from calibrated, though possibly varied, camera rigs. To infer a 3D shape from a single input silhouette, we search for 3D shapes which maximize

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Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysision of complex noise model (mostly in form of covariance matrices) into errors-in-variables or total least squares models led to a considerable improvement of existing algorithms..However, most algorithms can only account for covariance of the same measurement – but many computer vision problems, e.

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Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion kernel-color distribution, i.e. kernel-histogram. Filtering residuals are employed for hypothesis testing in order to obtain a robust criterion for model update. Therefore, tracker has the ability to keep up with the changes of object appearance as well as the changes in scale. Moreover, over-updat