000 03024nam a22003615i 4500
001 291391
003 MX-SnUAN
005 20170705134223.0
007 cr nn 008mamaa
008 150903s2008 xxk| o |||| 0|eng d
020 _a9781848002296
_99781848002296
024 7 _a10.1007/9781848002296
_2doi
035 _avtls000344225
039 9 _a201509030405
_bVLOAD
_c201405050304
_dVLOAD
_y201402061251
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aT385
100 1 _aCooper, Martin.
_eautor
_9322658
245 1 0 _aLine Drawing Interpretation /
_cby Martin Cooper.
264 1 _aLondon :
_bSpringer London,
_c2008.
300 _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 _aImpossible Pictures -- Labeling Line Drawings of Polyhedra -- Discrete In°ation Using Cubic Corners -- A Rich Labeling Scheme for Curved Objects -- Depth Recovery Through Linear Algebra -- Wireframe Projections -- Simplification of Combinatorial Problems -- Tractability of Drawing Interpretation -- 3D Reconstruction of Ambiguous Pictures.
520 _aThe computer interpretation of line drawings is a classic problem in artificial intelligence and has inspired the development of some fundamental AI tools, including constraint propagation, probabilistic relaxation, tractable constraints, and (most recently) local simplification of optimisation problems. Based on the author’s considerable research experience, this book looks at line drawing interpretation and constraint satisfaction, covering several landmark results in the field. It contains state-of-the-art reviews of work in both drawing interpretation and discrete optimisation, and is not just restricted to drawings of polyhedral objects, but also covers complex curved objects. Its novel approach to drawing interpretation combines new constraints with recent advances in soft constraint programming. The book will become a standard reference in the field with its coverage of many theoretical results with formal proofs, particularly concerning necessary-and-sufficient conditions for realizability, simplification operations for combinatorial problems and tractability of drawing interpretation. Martin Cooper makes this fascinating topic accessible not only to computer scientists, but also to mathematicians, psychologists and cognitive scientists – indeed to anyone intrigued by optical illusions and impossible or ambiguous figures.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781848002289
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-229-6
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291391
_d291391