000 05187nam a22005055i 4500
001 978-0-387-28831-4
003 DE-He213
005 20161121230517.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387288314
_9978-0-387-28831-4
024 7 _a10.1007/0-387-28831-7
_2doi
050 4 _aQA76.9.C65
072 7 _aUGK
_2bicssc
072 7 _aCOM072000
_2bisacsh
082 0 4 _a003.3
_223
245 1 0 _aHandbook of Mathematical Models in Computer Vision
_h[electronic resource] /
_cedited by Nikos Paragios, Yunmei Chen, Olivier Faugeras.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXXXIV, 606 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aImage Reconstruction -- Diffusion Filters and Wavelets: What Can They Learn from Each Other? -- Total Variation Image Restoration: Overview and Recent Developments -- PDE-Based Image and Surface Inpainting -- Boundary Exraction, Segmentation and Grouping -- Levelings: Theory and Practice -- Graph Cuts in Vision and Graphics: Theories and Applications -- Minimal Paths and Fast Marching Methods for Image Analysis -- Integrating Shape and Texture in DeformabIe Models: from Hybrid Methods to Metamorphs -- Variational Segmentation with Shape Priors -- Curve Propagation, Level Set Methods and Grouping -- On a Stochastic Model of Geometric Snakes -- Shape Modeling & Registration -- Invariant Processing and Occlusion Resistant Recognition of Planar Shapes -- Planar Shape Analysis and Its Applications in Image-Based Inferences -- Diffeomorphic Point Matching -- Uncertainty-Driven, Point-Based Image Registration -- Motion Analysis, Optical Flow & Tracking -- Optical Flow Estimation -- From Bayes to PDEs in Image Warping -- Image Alignment and Stitching -- Visual Tracking: A Short Research Roadmap -- Shape Gradient for Image and Video Segmentation -- Model-Based Human Motion Capture -- Modeling Dynamic Scenes: An Overview of Dynamic Textures -- 3D from Images, Projective Geometry & Stereo Reconstruction -- Differential Geometry from the Frenet Point of View: Boundary Detection, Stereo, Texture and Color -- Shape From Shading -- 3D from Image Sequences: Calibration, Motion and Shape Recovery -- Multi-view Reconstruction of Static and Dynamic Scenes -- Graph Cut Algorithms for Binocular Stereo with Occlusions -- Modelling Non-Rigid Dynamic Scenes from Multi-View Image Sequences -- Applications: Medical Image Analysis -- Interactive Graph-Based Segmentation Methods in Cardiovascular Imaging -- 3D Active Shape and Appearance Models in Cardiac Image Analysis -- Characterization of Diffusion Anisotropy in DWI -- Segmentation of Diffusion Tensor Images -- Variational Approaches to the Estimation, Regularizatinn and Segmentation of Diffusion Tensor Images -- An Introduction to Statistical Methods of Medical Image Registration.
520 _aVisual perception refers to the ability of understanding the visual information that is provided by the environment. Such a mechanism integrates several human abilities and was studied by many researchers with different scientific origins including philosophy, physiology, biology, neurobiology, mathematics and engineering. In particular in the recent years an effort to understand, formalize and finally reproduce mechanical visual perception systems able to see and understand the environment using computational theories was made by mathematicians, statisticians and engineers. Such a task connects visual tasks with optimization processes and the answer to the visual perception task corresponds to the lowest potential of a task-driven objective function. In this edited volume we present the most prominent mathematical models that are considered in computational vision. To this end, tasks of increasing complexity are considered and we present the state-of-the-art methods to cope with such tasks. The volume consists of six thematic areas that provide answers to the most dominant questions of computational vision: Image reconstruction, Segmentation and object extraction, Shape modeling and registration, Motion analysis and tracking, 3D from images, geometry and reconstruction Applications in medical image analysis.
650 0 _aComputer science.
650 0 _aComputer science
_xMathematics.
650 0 _aComputer simulation.
650 0 _aComputer graphics.
650 0 _aMathematical models.
650 1 4 _aComputer Science.
650 2 4 _aSimulation and Modeling.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aMath Applications in Computer Science.
700 1 _aParagios, Nikos.
_eeditor.
700 1 _aChen, Yunmei.
_eeditor.
700 1 _aFaugeras, Olivier.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387263717
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-28831-7
912 _aZDB-2-SCS
950 _aComputer Science (Springer-11645)
999 _c499859
_d499859