Buch, Englisch, Band 1654, 338 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1080 g
Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings
Buch, Englisch, Band 1654, 338 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1080 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-540-66294-5
Verlag: Springer Berlin Heidelberg
C 2 - E C - (EC ’99), $ % &, E, % 26 29, 1999. +. + 1997. + % % -, , , %. A % %, -, , ? % % % %. 35 %. E % %. B % - 17 %. %. +, -, , ,. % %. F, ? %. F, % %. % % %:. C,. D ,;. D, F. F,. A. ? % A% % @ - >; C @. A & % % % ?- @ - F. % B. 1999 E Program Co Chairs E. UniversityofYork,UK UniversityofVenice,Italy Program Committee B INRIA,France B UniversityofBonn,Germany F InstitutoSuperiorTecnico,Portugal D NanyangTechnologicalUniversity,Singapore UniversityofSurrey,UK A YaleUniversity,USA @ McGillUniversity,Canada @ $ TheWeizmannInstituteofScience,Israel > UniversityofNewMexico,USA A >. & Smith KettlewellEyeResearchInstitute,USA INRIA,France @. YaleUniversity,USA
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
Weitere Infos & Material
Shape.- A Hamiltonian Approach to the Eikonal Equation.- Topographic Surface Structure from 2D Images Using Shape-from-Shading.- Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization.- Deformation Energy for Size Functions.- Minimum Description Length.- On Fitting Mixture Models.- Bayesian Models for Finding and Grouping Junctions.- Markov Random Fields.- Semi-iterative Inferences with Hierarchical Energy-Based Models for Image Analysis.- Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models.- Hyperparameter Estimation for Satellite Image Restoration by a MCMCML Method.- Auxiliary Variables for Markov Random Fields with Higher Order Interactions.- Unsupervised Multispectral Image Segmentation Using Generalized Gaussian Noise Model.- Contours.- Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach.- Adaptive Pixel-Based Data Fusion for Boundary Detection.- Search and Consistent Labeling.- Bayesian A* Tree Search with Expected O(N) Convergence Rates for Road Tracking.- A New Algorithm for Energy Minimization with Discontinuities.- Convergence of a Hill Climbing Genetic Algorithm for Graph Matching.- A New Distance Measure for Non-rigid Image Matching.- Continuous-Time Relaxation Labeling Processes.- Tracking and Video.- Realistic Animation Using Extended Adaptive Mesh for Model Based Coding.- Maximum Likelihood Inference of 3D Structure from Image Sequences.- Biomedical Applications.- Magnetic Resonance Imaging Based Correction and Reconstruction of Positron Emission Tomography Images.- Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm4.
