LEADER 03315nam 2200493Ia 450 001 9910437579303321 005 20200520144314.0 010 $a1-4471-5283-2 024 7 $a10.1007/978-1-4471-5283-5 035 $a(OCoLC)853618368 035 $a(MiFhGG)GVRL6WJC 035 $a(CKB)3710000000002531 035 $a(MiAaPQ)EBC1398383 035 $a(EXLCZ)993710000000002531 100 $a20130627d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aOptimization for computer vision $ean introduction to core concepts and methods /$fMarco Alexander Treiber 205 $a1st ed. 2013. 210 $aNew York $cSpringer$d2013 215 $a1 online resource (xi, 257 pages) $cillustrations (some color) 225 0$aAdvances in computer vision and pattern recognition 300 $a"ISSN: 2191-6586." 311 $a1-4471-5282-4 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Continuous Optimization -- Linear Programming and the Simplex Method -- Variational Methods -- Correspondence Problems -- Graph Cuts -- Dynamic Programming. 330 $aOptimization plays an invaluable role in the exciting and rapidly developing field of computer vision, yet this importance is often overlooked in the literature. This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: Provides a comprehensive overview of computer vision-related optimization Covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization Describes in detail the optimization methods employed in computer vision applications Illuminates key concepts with clearly written and step-by-step explanations Presents detailed information on implementation, including pseudocode for most methods This easy-to-follow and applications-focused book is an essential resource for researchers and practitioners seeking guidance on implementing specific methods in computer vision. Marco Alexander Treiber is a software developer at ASM Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly. Among his other publications is the successful Springer title An Introduction to Object Recognition. 410 0$aAdvances in computer vision and pattern recognition. 606 $aComputer vision$xMathematics 606 $aMathematical optimization 615 0$aComputer vision$xMathematics. 615 0$aMathematical optimization. 676 $a006.37 700 $aTreiber$b Marco Alexander$01064183 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437579303321 996 $aOptimization for Computer Vision$92536721 997 $aUNINA