00947nam0-22002891i-450-99000182627040332120021010000182627FED01000182627(Aleph)000182627FED0100018262720021010d--------km-y0itay50------baita<<L'>>acqua dell' antica sorgente dello Scraio presso Vico Equense (Napoli) di proprieta del Signor Pietro ScalaEugenio Casoria.PorticiPremiato Stab. Tip. Vesuviano1896.76 p.23 cmAcque termali546.22Casoria,Eugenio331811ITUNINARICAUNIMARCBK99000182627040332160 DONO COMES 23/1536480FAGBCFAGBCAcqua dell' antica sorgente dello Scraio presso Vico Equense (Napoli) di proprieta del Signor Pietro Scala413269UNINAING0103960oam 2200553 450 991014364930332120210804200200.03-540-46805-610.1007/3-540-46805-6(CKB)1000000000211130(SSID)ssj0000326643(PQKBManifestationID)11912764(PQKBTitleCode)TC0000326643(PQKBWorkID)10297531(PQKB)10672008(DE-He213)978-3-540-46805-9(MiAaPQ)EBC3073057(MiAaPQ)EBC6494941(PPN)155192353(EXLCZ)99100000000021113020210804d1999 uy 0engurnn#008mamaatxtccrShape, contour, and grouping in computer vision /David A. Forsyth [and three others] (editors)1st ed. 1999.Berlin ;Heidelberg :Springer,[1999]©19991 online resource (VIII, 350 p.)Lecture Notes in Computer Science,0302-9743 ;1681Bibliographic Level Mode of Issuance: Monograph3-540-66722-9 Includes bibliographical references at the end of each chapters and index.An Empirical-Statistical Agenda for Recognition -- A Formal-Physical Agenda for Recognition -- Shape -- Shape Models and Object Recognition -- Order Structure, Correspondence, and Shape Based Categories -- Quasi-Invariant Parameterisations and Their Applications in Computer Vision -- Shading -- Representations for Recognition Under Variable Illumination -- Shadows, Shading, and Projective Ambiguity -- Grouping -- Grouping in the Normalized Cut Framework -- Geometric Grouping of Repeated Elements within Images -- Constrained Symmetry for Change Detection -- Grouping Based on Coupled Diffusion Maps -- Representation and Recognition -- Integrating Geometric and Photometric Information for Image Retrieval -- Towards the Integration of Geometric and Appearance-Based Object Recognition -- Recognizing Objects Using Color-Annotated Adjacency Graphs -- A Cooperating Strategy for Objects Recognition -- Statistics, Learning and Recognition -- Model Selection for Two View Geometry:A Review -- Finding Objects by Grouping Primitives -- Object Recognition with Gradient-Based Learning.Computer vision has been successful in several important applications recently. Vision techniques can now be used to build very good models of buildings from pictures quickly and easily, to overlay operation planning data on a neuros- geon’s view of a patient, and to recognise some of the gestures a user makes to a computer. Object recognition remains a very di cult problem, however. The key questions to understand in recognition seem to be: (1) how objects should be represented and (2) how to manage the line of reasoning that stretches from image data to object identity. An important part of the process of recognition { perhaps, almost all of it { involves assembling bits of image information into helpful groups. There is a wide variety of possible criteria by which these groups could be established { a set of edge points that has a symmetry could be one useful group; others might be a collection of pixels shaded in a particular way, or a set of pixels with coherent colour or texture. Discussing this process of grouping requires a detailed understanding of the relationship between what is seen in the image and what is actually out there in the world.Lecture Notes in Computer Science,0302-9743 ;1681Computer visionComputer vision.006.37Forsyth DavidMiAaPQMiAaPQUtOrBLWBOOK9910143649303321Shape, contour and grouping in computer vision1492559UNINA01880nam 2200457Ia 450 991070147460332120120319094127.0(CKB)5470000002418329(OCoLC)780428795(EXLCZ)99547000000241832920120319d2012 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierGeophysical, stratigraphic, and flow-zone logs of selected wells in Cayuga County, New York, 2001-2011[electronic resource] /by David A.V. Eckhardt, John H. Williams, and J. Alton Anderson ; prepared in cooperation with the U.S. Environmental Protection AgencyReston, Va. :U.S. Dept. of the Interior, U.S. Geological Survey,2012.1 online resource illustrations, color mapsOpen-file report ;2011-1319Title from title screen (viewed Mar. 15, 2012).Includes bibliographical references (pages 11-12).GeophysicsNew York (State)Cayuga CountyStratigraphic correlationNew York (State)Cayuga CountyBoringsNew York (State)Cayuga CountyHydrogeologyNew York (State)Cayuga CountyGeophysicsStratigraphic correlationBoringsHydrogeologyEckhardt David A1395948Williams John H(John Herbert),1954-59947Anderson J. Alton1396772United States.Environmental Protection Agency.Geological Survey (U.S.)GPOGPOBOOK9910701474603321Geophysical, stratigraphic, and flow-zone logs of selected wells in Cayuga County, New York, 2001-20113486403UNINA