000 05026nam a22003855i 4500
001 278694
003 MX-SnUAN
005 20170705134201.0
007 cr nn 008mamaa
008 150903s2006 xxu| o |||| 0|eng d
020 _a9780387288314
_99780387288314
024 7 _a10.1007/0387288317
_2doi
035 _avtls000330667
039 9 _a201509030724
_bVLOAD
_c201404120514
_dVLOAD
_c201404090255
_dVLOAD
_c201401311347
_dstaff
_y201401301151
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aT385
100 1 _aParagios, Nikos.
_eeditor.
_9302481
245 1 0 _aHandbook of Mathematical Models in Computer Vision /
_cedited by Nikos Paragios, Yunmei Chen, Olivier Faugeras.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _axxxiii, 605 páginas,
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
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
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aChen, Yunmei.
_eeditor.
_9302482
700 1 _aFaugeras, Olivier.
_eeditor.
_9302483
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9780387263717
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/0-387-28831-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c278694
_d278694