01302nam--2200397---450-99000305028020331620080117130153.0000305028USA01000305028(ALEPH)000305028USA0100030502820080117d1979----km-y0itay50------baengfreCH||||||||001yyColloquium Mycenaeumactes du sixieme colloque international sur les Textes Myceniens et Egeens tenu a Chaumont sur Neuchatel du 7 au 13 septembre 1975publies par les soins de Ernst Risch, Hugo MuhlesteinNeuchatelFaculté des Lettres1979432 p.24 cm20012001001-------2001<<Les>> textes Myceniens et EgeensCiviltà miceneaCongressi1975487.1RISCH,ErnstMUHLESTEIN,HugoColloque international sur les textes Myceniens et Egeens<6.; 1975; Chaumont, Neuchatel>599918ITsalbcISBD990003050280203316I SE RIS 12044 DBCI SEBKDBCDBC9020080117USA011301Colloquium Mycenaeum1021677UNISA03906nam 22006375 450 99646608360331620200705222100.03-540-47634-210.1007/BFb0017553(CKB)1000000000233960(SSID)ssj0000326175(PQKBManifestationID)11264634(PQKBTitleCode)TC0000326175(PQKBWorkID)10267427(PQKB)10171910(DE-He213)978-3-540-47634-4(PPN)155200135(EXLCZ)99100000000023396020121227d1993 u| 0engurnn|008mamaatxtccrRecognizing Planar Objects Using Invariant Image Features[electronic resource] /by Thomas H. Reiss1st ed. 1993.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1993.1 online resource (X, 186 p.) Lecture Notes in Computer Science,0302-9743 ;676Bibliographic Level Mode of Issuance: Monograph3-540-56713-5 Translation, rotation, scale and contrast invariants -- Algebraic and projective invariants -- Invariance to affine transformations -- Invariance to projective transformations -- Recognizing partially occluded objects -- Summary and conclusions.Given a familiar object extracted from its surroundings, we humans have little difficulty in recognizing it irrespective of its size, position and orientation in our field of view. Changes in lighting and the effects of perspective also pose no problems. How do we achieve this, and more importantly, how can we get a computer to do this? One very promising approach is to find mathematical functions of an object's image, or of an object's 3D description, that are invariant to the transformations caused by the object's motion. This book is devoted to the theory and practice of such invariant image features, so-called image invariants, for planar objects. It gives a comprehensive summary of the field, discussing methods for recognizing both occluded and partially occluded objects, and also contains a definitive treatmentof moment invariants and a tutorial introduction to algebraic invariants, which are fundamental to affine moment invariants and to many projective invariants. A number of novel invariant functions are presented and the results of numerous experiments investigating the stability of new and old invariants are discussed. The main conclusion is that moment invariants are very effective, both for partially occluded objects and for recognizing objects in grey-level images.Lecture Notes in Computer Science,0302-9743 ;676Computer graphicsOptical data processingPattern recognitionGeometryComputer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XGeometryhttps://scigraph.springernature.com/ontologies/product-market-codes/M21006Computer graphics.Optical data processing.Pattern recognition.Geometry.Computer Graphics.Image Processing and Computer Vision.Pattern Recognition.Geometry.006.4/2Reiss Thomas Hauthttp://id.loc.gov/vocabulary/relators/aut714560BOOK996466083603316Recognizing planar objects using invariant image features1381885UNISA