LEADER 05438nam 2200673Ia 450 001 9910816632203321 005 20240404142714.0 010 $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 /$feditors, Horst Bunke ... [et al.] 205 $a1st ed. 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)

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