{"product_id":"9780387004976","title":"The IMA Volumes in Mathematics and its Applications","description":"\u003ch1\u003eThe IMA Volumes in Mathematics and its Applications\u003c\/h1\u003e \u003ch2\u003eOlver, Peter J.; Tannenbaum, Allen\u003c\/h2\u003e \u003cp\u003eThis volume comprises some of the key work presented at two IMA \nWorkshops on Computer Vision during fall of 2000. Recent years have \nseen significant advances in the application of sophisticated \nmathematical theories to the problems arising in image processing. \nBasic issues include image smoothing and denoising, image enhancement, \nmorphology, image compression, and segmentation (determining \nboundaries of objects-including problems of camera distortion and \npartial occlusion). Several mathematical approaches have emerged, \nincluding methods based on nonlinear partial differential equations, \nstochastic and statistical methods, and signal processing techniques, \nincluding wavelets and other transform theories. \nShape theory is of fundamental importance since it is the bottleneck \nbetween high and low level vision, and formed the bridge between the \ntwo workshops on vision. The recent geometric partial differential \nequation methods have been essential in throwing new light on this \nvery difficult problem area. Further, stochastic processes, including \nMarkov random fields, have been used in a Bayesian framework to \nincorporate prior constraints on smoothness and the regularities of \ndiscontinuities into algorithms for image restoration and \nreconstruction. \nA number of applications are considered including optical character \nand handwriting recognizers, printed-circuit board inspection systems \nand quality control devices, motion detection, robotic control by \nvisual feedback, reconstruction of objects from stereoscopic view \nand\/or motion, autonomous road vehicles, and many others.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2003-10-01\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780387004976\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4757-4127-8\u003c\/p\u003e \u003cp\u003eDimensions: 234cm x156cm\u003c\/p\u003e \u003cp\u003ePages: 156\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":46541505790092,"sku":"9780387004976","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780387004976.jpg?v=1775738769","url":"https:\/\/lateknightbooks.com\/products\/9780387004976","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}