LEADER 05441nam 2200661Ia 450
001 9910780723403321
005 20230725041453.0
010 $a1-282-76047-5
010 $a9786612760471
010 $a981-283-446-X
035 $a(CKB)2490000000001650
035 $a(EBL)1679489
035 $a(OCoLC)729020450
035 $a(SSID)ssj0000426206
035 $a(PQKBManifestationID)11310560
035 $a(PQKBTitleCode)TC0000426206
035 $a(PQKBWorkID)10373652
035 $a(PQKB)11216510
035 $a(MiAaPQ)EBC1679489
035 $a(WSP)00000513
035 $a(Au-PeEL)EBL1679489
035 $a(CaPaEBR)ebr10421986
035 $a(CaONFJC)MIL276047
035 $a(EXLCZ)992490000000001650
100 $a20080716d2010 uy 0
101 0 $aeng
135 $aur|n|---|||||
181 $ctxt
182 $cc
183 $acr
200 00$aProgress in computer vision and image analysis$b[electronic resource] /$feditors, Horst Bunke ... [et al.]
210 $aSingapore $cWorld Scientific$dc2010
215 $a1 online resource (591 p.)
225 1 $aSeries in machine perception and artificial intelligence ;$v73
300 $aDescription based upon print version of record.
311 $a981-283-445-1
320 $aIncludes bibliographical references and indexes.
327 $aCONTENTS; Preface; 1. An appearance-based method for parametric video registration X. Orriols, L. Barcelo? and X. Binefa; 1.1. Introduction; 1.2. Appearance Based Framework for Multi-Frame Registration; 1.2.1. Appearance Representation Model; 1.2.2. Polynomial Surface Model; 1.2.3. The Algorithm; 1.3. Experimental Results; 1.3.1. Selecting a Reference Frame. Consequences in the Registration; 1.3.2. Analyzing the Complexity in the Polynomial Model. Towards 3D Affine Reconstruction; 1.4. Summary and Conclusions; Acknowledgments; References
327 $a2. An interactive algorithm for image smoothing and segmentation M. C. de Andrade1. Introduction; 2. The interactive image smoothing and segmentation algorithm - ISS; 2.1. Edge preserving smoothing under controlled curvature motion; 2.1.1. Stopping criteria for curvature based denoising; 2.1.2. Effect of denoising on the ISS; 2.2. The interactive region growing and merging step; 2.3. The ISS algorithm steps; 3. Applications; 4. Conclusions and Outlook; Acknowledgments; Appendix A. ISS Pseudo-code; Appendix B. ISS Execution time for known test-images; References
327 $a3. Relevance of multifractal textures in static images A. Turiel3.1. Introduction; 3.2. Multifractal framework; 3.3. Multifractal decomposition; 3.4. Reconstructing from edges; 3.5. Relevance of the fractal manifolds; 3.6. Conclusions; Acknowledgements; References; 4. Potential fields as an external force and algorithmic improvements in deformable models A. Caro et al.; 4.1. Introduction; 4.1.1. Overview on Active Contours; 4.1.2. Scope and purpose of the research; 4.2. Algorithm Design; 4.2.1. Standard Deformable Models; 4.2.2. The new approach for Deformable Models
327 $a4.2.3. A practical application: DeformableModels on Iberian ham MRI4.3. Practical Results and their Discussion; 4.4. Conclusions; Acknowledgements; References; 5. Optimization of weights in a multiple classifier handwritten word recognition system using a genetic algorithm S. Gu?nter and H. Bunke; 5.1. Introduction; 5.2. Handwritten word recognizer; 5.2.1. Preprocessing; 5.2.2. Feature extraction; 5.2.3. Hidden Markov models; 5.3. Ensemble creation methods; 5.3.1. Issues in ensemble creation; 5.3.2. Bagging; 5.3.3. AdaBoost; 5.3.4. Random subspace method; 5.3.5. Architecture variation
327 $a5.4. Combination schemes5.4.1. Maximum score rule; 5.4.2. Performance weighted voting; 5.4.3. Weighted voting using weights calculated by a genetic algorithm; 5.4.4. Voting with ties handling; 5.5. Genetic algorithm for the calculation of the weights used by weighted voting; 5.5.1. Chromosome representation and fitness; 5.5.2. Initialization and termination; 5.5.3. Crossover operator; 5.5.4. Mutation operator; 5.5.5. Generation of a new population; 5.6. Experiments; 5.7. Conclusions; Acknowledgments; Appendix A. HandwrittenWord Samples; References
327 $a6. Dempster-Shafer's basic probability assignment based on fuzzy membership functions A. O. Boudraa et al.
330 $aThis book is a collection of scientific papers published during the last five years, showing a broad spectrum of actual research topics and techniques used to solve challenging problems in the areas of computer vision and image analysis. The book will appeal to researchers, technicians and graduate students. Sample Chapter(s)
Chapter 1: An Appearance-Based Method for Parametric Video Registration (2,352 KB)
Contents: