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001 978-3-319-00711-3
003 DE-He213
005 20140220082507.0
007 cr nn 008mamaa
008 130904s2014 gw | s |||| 0|eng d
020 _a9783319007113
_9978-3-319-00711-3
024 7 _a10.1007/978-3-319-00711-3
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aMitiche, Amar.
_eauthor.
245 1 0 _aComputer Vision Analysis of Image Motion by Variational Methods
_h[electronic resource] /
_cby Amar Mitiche, J.K. Aggarwal.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aVII, 207 p. 54 illus., 29 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 _aSpringer Topics in Signal Processing,
_x1866-2609 ;
_v10
505 0 _aImage Motion Processing in Visual Function -- Background Preliminaries -- Optical Flow Estimation -- Motion Detection -- Tracking -- Optical Flow Three-Dimensional Interpretation.
520 _aThis book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.
650 0 _aEngineering.
650 0 _aHydraulic engineering.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aFluid- and Aerodynamics.
650 2 4 _aEngineering Fluid Dynamics.
700 1 _aAggarwal, J.K.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319007106
830 0 _aSpringer Topics in Signal Processing,
_x1866-2609 ;
_v10
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-00711-3
912 _aZDB-2-ENG
999 _c92512
_d92512