LEADER 01945nam 2200337Ia 450 001 996386535203316 005 20221107215400.0 035 $a(CKB)4940000000077309 035 $a(EEBO)2240953765 035 $a(OCoLC)12428916 035 $a(EXLCZ)994940000000077309 100 $a19850827d1642 uy | 101 0 $aeng 135 $aurbn||||a|bb| 200 12$aA vindication from Colonell Sands, being the true copie of a letter sent from Colonell Sands to His Excellence the Earle of Essex from Worcester the 8 of October$b[electronic resource] $ewherein Colonell Sands doth declare his resolution to maintaine the cause hee hath begun with the hazard of his life and fortunes : also manifesting to the world that those reports of his being slaine, with the contents of the Lord Faulklands letter, to be false and scandalous : with his humble desire to His Excellence that the coppie of his resolution might be presented to the Parliament, that they might be satisfied concerning his fidelity : read in the audience of both Houses of Parliament and by them approved of : whereunto is annexed seven articles of impeachment of high treason exhibited in Parliament against Sir Edward Heron, High Sheriffe of the county of Lincolne 210 $aLondon $cPrinted for T. Fawcet$dOctob. 14, 1642 215 $a[8] p 300 $aReproduction of original in Thomason Collection, British Library. 330 $aeebo-0158 606 $aTrials (Treason)$zEngland$y17th century 615 0$aTrials (Treason) 700 $aSandys$b Edwin$f1611 or 12-1642.$01008995 701 $aHeron$b Edward$cSir.$01008996 801 0$bEAA 801 1$bEAA 801 2$bm/c 801 2$bWaOLN 906 $aBOOK 912 $a996386535203316 996 $aA vindication from Colonell Sands, being the true copie of a letter sent from Colonell Sands to His Excellence the Earle of Essex from Worcester the 8 of October$92328514 997 $aUNISA LEADER 05928nam 2200625 a 450 001 9910483821303321 005 20200520144314.0 024 7 $a10.1007/11567646 035 $a(CKB)1000000000213307 035 $a(SSID)ssj0000320610 035 $a(PQKBManifestationID)11270678 035 $a(PQKBTitleCode)TC0000320610 035 $a(PQKBWorkID)10249575 035 $a(PQKB)11135172 035 $a(DE-He213)978-3-540-32109-5 035 $a(MiAaPQ)EBC3067611 035 $a(PPN)123098106 035 $a(EXLCZ)991000000000213307 100 $a20050902d2005 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aVariational, geometric, and level set methods in computer vision $eThird International Workshop, VLSM 2005, Beijing, China, October 16, 2005 : proceedings /$fNikos Paragios ... [et al.] (eds.) 205 $a1st ed. 2005. 210 $aBerlin $cSpringer$dc2005 215 $a1 online resource (XII, 372 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v3752 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-32109-8 311 $a3-540-29348-5 320 $aIncludes bibliographical references and index. 327 $aA Study of Non-smooth Convex Flow Decomposition -- Denoising Tensors via Lie Group Flows -- Nonlinear Inverse Scale Space Methods for Image Restoration -- Towards PDE-Based Image Compression -- Color Image Deblurring with Impulsive Noise -- Using an Oriented PDE to Repair Image Textures -- Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L 1 Functional -- Structure-Texture Decomposition by a TV-Gabor Model -- From Inpainting to Active Contours -- Sobolev Active Contours -- Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration -- Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision -- Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising -- Combined Geometric-Texture Image Classification -- Heuristically Driven Front Propagation for Geodesic Paths Extraction -- Trimap Segmentation for Fast and User-Friendly Alpha Matting -- Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case -- Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation -- Non-rigid Shape Comparison of Implicitly-Defined Curves -- Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines -- Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images -- A Variational Approach for Object Contour Tracking -- Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking -- A Surface Reconstruction Method for Highly Noisy Point Clouds -- A C 1 Globally Interpolatory Spline of Arbitrary Topology -- Solving PDEs on Manifolds with Global Conformal Parametriazation -- Fast Marching Method for Generic Shape from Shading -- A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints -- Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension -- Lens Distortion Calibration Using Level Sets. 330 $aMathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geometric ?ows or through the minimization of problem-driven cost functions where their lowest potential corresponds to image understanding. The 3rd IEEE Workshop on Variational, Geometric and Level Set Methods focused on these novel mathematical techniques and their applications to c- puter vision problems. To this end, from a substantial number of submissions, 30 high-quality papers were selected after a fully blind review process covering a large spectrum of computer-aided visual understanding of the environment. The papers are organized into four thematic areas: (i) Image Filtering and Reconstruction, (ii) Segmentation and Grouping, (iii) Registration and Motion Analysis and (iiii) 3D and Reconstruction. In the ?rst area solutions to image enhancement, inpainting and compression are presented, while more advanced applications like model-free and model-based segmentation are presented in the segmentation area. Registration of curves and images as well as multi-frame segmentation and tracking are part of the motion understanding track, while - troducing computationalprocessesinmanifolds,shapefromshading,calibration and stereo reconstruction are part of the 3D track. We hope that the material presented in the proceedings exceeds your exp- tations and will in?uence your research directions in the future. We would like to acknowledge the support of the Imaging and Visualization Department of Siemens Corporate Research for sponsoring the Best Student Paper Award. 410 0$aLecture notes in computer science ;$v3752. 517 3 $aVLSM 2005 606 $aComputer vision$xMathematics$vCongresses 606 $aComputer vision$xMethodology$vCongresses 606 $aImage processing$xDigital techniques$vCongresses 615 0$aComputer vision$xMathematics 615 0$aComputer vision$xMethodology 615 0$aImage processing$xDigital techniques 676 $a006.6 676 $a006.37 686 $a54.74$2bcl 701 $aParagios$b Nikos$0506535 712 12$aIEEE Workshop on Variational and Level Set Methods in Computer Vision 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483821303321 996 $aVariational, geometric, and level set methods in computer vision$94189979 997 $aUNINA