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020 _a9781447152835
_9978-1-4471-5283-5
024 7 _a10.1007/978-1-4471-5283-5
_2doi
050 4 _aTA1637-1638
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
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082 0 4 _a006.6
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082 0 4 _a006.37
_223
100 1 _aTreiber, Marco Alexander.
_eauthor.
245 1 0 _aOptimization for Computer Vision
_h[electronic resource] :
_bAn Introduction to Core Concepts and Methods /
_cby Marco Alexander Treiber.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2013.
300 _aXI, 257 p. 107 illus., 93 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
505 0 _aIntroduction -- Continuous Optimization -- Linear Programming and the Simplex Method -- Variational Methods -- Correspondence Problems -- Graph Cuts -- Dynamic Programming.
520 _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.
650 0 _aComputer science.
650 0 _aImage processing.
650 0 _aMathematical optimization.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aOptimization.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447152828
830 0 _aAdvances in Computer Vision and Pattern Recognition,
_x2191-6586
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5283-5
912 _aZDB-2-SCS
942 _cEBK
999 _c53761
_d53761