LEADER 02806nam 2200661 a 450 001 9910452229803321 005 20200520144314.0 010 $a0-8166-9303-X 035 $a(CKB)1000000000346842 035 $a(EBL)310634 035 $a(OCoLC)476095328 035 $a(SSID)ssj0000116826 035 $a(PQKBManifestationID)11140987 035 $a(PQKBTitleCode)TC0000116826 035 $a(PQKBWorkID)10035647 035 $a(PQKB)10114679 035 $a(MiAaPQ)EBC310634 035 $a(OCoLC)191930392 035 $a(MdBmJHUP)muse38933 035 $a(Au-PeEL)EBL310634 035 $a(CaPaEBR)ebr10151161 035 $a(CaONFJC)MIL522663 035 $a(EXLCZ)991000000000346842 100 $a20030203d2003 ub 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCalibrations$b[electronic resource] $ereading for the social /$fAto Quayson 210 $aMinneapolis $cUniversity of Minnesota Press$dc2003 215 $a1 online resource (221 p.) 225 1 $aPublic worlds ;$vv. 12 300 $aDescription based upon print version of record. 311 $a0-8166-3840-3 311 $a0-8166-3839-X 320 $aIncludes bibliographical references (p. 165-174) and index. 327 $a1. Literature, anthropology, and history in Ghosh's In an antique land -- 2. Social imaginaries in transition: culture heroism and the genres of everyday life -- 3. African postcolonial relations through a prism of tragedy -- 4. Symbolization compulsions: Freud, African literature, and South Africa's process of truth and reconciliation -- 5. Disability and contingency -- 6. Literature and the parables of time. 330 $aAto Quayson uses a method of reading he calls calibrations: a reading of literature with what lies beyond it as a way of understanding structures of transformation, process, and contradiction that inform both literature and society. He surveys texts ranging from Bob Marley lyrics, Toni Morrison's work, Walter Benjamin's Theses on the Philosophy of History, and Althusser's reflections on political economy. 410 0$aPublic worlds ;$vv. 12. 606 $aAfrican literature$y20th century$xHistory and criticism 606 $aMarxist criticism 606 $aMimesis in literature 606 $aPostcolonialism in literature 608 $aElectronic books. 615 0$aAfrican literature$xHistory and criticism. 615 0$aMarxist criticism. 615 0$aMimesis in literature. 615 0$aPostcolonialism in literature. 676 $a809/.896 700 $aQuayson$b Ato$0621183 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910452229803321 996 $aCalibrations$92063068 997 $aUNINA LEADER 05497nam 22008175 450 001 9910523760803321 005 20251027172948.0 010 $a9783030343729$b(electronic bk.) 010 $z9783030343712 024 7 $a10.1007/978-3-030-34372-9 035 $a(MiAaPQ)EBC6839940 035 $a(Au-PeEL)EBL6839940 035 $a(CKB)20443804500041 035 $a(OCoLC)1291316737 035 $a(DE-He213)978-3-030-34372-9 035 $a(PPN)269153594 035 $a(EXLCZ)9920443804500041 100 $a20220103d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputer Vision $eAlgorithms and Applications /$fby Richard Szeliski 205 $a2nd ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (925 pages) 225 1 $aTexts in Computer Science,$x1868-095X 311 08$aPrint version: Szeliski, Richard Computer Vision Cham : Springer International Publishing AG,c2022 9783030343712 327 $a1 Introduction -- 2 Image Formation -- 3 Image Processing -- 4 Model Fitting and Optimization -- 5 Deep Learning -- 6 Recognition -- 7 Feature Detection and Matching -- 8 Image Alignment and Stitching -- 9 Motion Estimation -- 10 Computational Photography -- 11 Structure from Motion and SLAM -- 12 Depth Estimation -- 13 3D Reconstruction -- 14 Image-Based Rendering -- 15 Conclusion -- Appendix A: Linear Algebra and Numerical Techniques -- Appendix B: Bayesian Modeling and Inference -- Appendix C: Supplementary Material. 330 $aComputer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of ?recipes,? this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles. Topics and features: Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses Incorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented reality Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. About the Author Dr. Richard Szeliski has more than 40 years? experience in computer vision research, most recently at Facebook and Microsoft Research, where he led the Computational Photography and Interactive Visual Media groups. He is currently an Affiliate Professor at the University of Washington where he co-developed (with Steve Seitz) the widely adopted computer vision curriculum on which this book is based. 410 0$aTexts in Computer Science,$x1868-095X 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aMachine learning 606 $aSignal processing 606 $aMaterials$xAnalysis 606 $aImaging systems 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aSignal, Speech and Image Processing 606 $aImaging Techniques 606 $aVisió per ordinador$2thub 606 $aProcessament d'imatges$2thub 606 $aAlgorismes computacionals$2thub 608 $aLlibres electrònics$2thub 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aMachine learning. 615 0$aSignal processing. 615 0$aMaterials$xAnalysis. 615 0$aImaging systems. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aSignal, Speech and Image Processing . 615 24$aImaging Techniques. 615 7$aVisió per ordinador 615 7$aProcessament d'imatges 615 7$aAlgorismes computacionals 676 $a006.37 676 $a006.37 700 $aSzeliski$b Richard$f1958-$066335 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910523760803321 996 $aComputer vision$91536161 997 $aUNINA 999 $aEBOOK LEADER 03151nam 2200385z- 450 001 9910404062503321 005 20260105213819.0 035 $a(CKB)4100000011302429 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/61258 035 $a(oapen)doab61258 035 $a(EXLCZ)994100000011302429 100 $a20202102d2004 |y 0 101 0 $aspa 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aTras la biologi?a: La moralidad del parentesco y las nuevas tecnologi?as de reproduccio?n 210 $cPublicacions i Edicions de la Universitat de Barcelona$d2004 215 $a1 online resource (158 p.) 225 1 $aCol·lecció Estudis d'Antropologia Social i Cultural 311 08$a84-9168-230-9 330 $aAnte los debates en torno a las tecnologi?as de la reproduccio?n humana, el autor plantea una pregunta ba?sicamente etnogra?fica ¿Co?mo la gente experimenta y da sentido a estas tecnologi?as? Para resolver la cuestio?n analiza diferentes aspectos de las relaciones de parentesco en contextos de la reproduccio?n asistida, desde la fragilidad vivida de los hechos de la reproduccio?n, la incertidumbre ante los conocimientos de la reproduccio?n, hasta las conexiones cambiantes que se establecen entre naturaleza y cultura. Resalta el aspecto de mediacio?n de los conocimientos del parentesco como uno de los principales instrumentos que tiene la gente para pensar y dar sentido a las tecnologi?as de la reproduccio?n ¿Co?mo dar sentido a un gameto? ¿Co?mo entender la filiacio?n a trave?s de las donaciones? ¿Co?mo entender la herencia? ¿Co?mo comprender las posibilidades que la nueva gene?tica nos proporciona? Se pregunta por las implicaciones de las tecnologi?as para analizar co?mo la gente piensa las relaciones de parentesco del futuro ¿Que? sucede cuando la "sustancia biogene?tica" es el resultado de los "hechos de la reproduccio?n asistida", es decir, cuando la biologi?a de la reproduccio?n es asistida por la tecnologi?a? ¿Cua?les son las transformaciones de las relaciones de parentesco actuales? Estableciendo un dia?logo con las nuevas teori?as del parentesco, analiza los valores que sustentan las pra?cticas de las relaciones de parentesco ¿Co?mo las tecnologi?as de reproduccio?n humana son un elemento para pensar y hacer expli?citos valores surgidos a partir de la divisio?n moderna entre naturaleza y cultura? ¿Que? sucede a la cultura cuando la naturaleza es asistida? ¿Que? pueden decirnos otros sistemas de parentesco que no se fundamentan en la divisio?n entre naturaleza y cultura? 517 $aTras la biología 517 $aTras la biología 606 $aAnthropology$2bicssc 610 $aBioe?tica 610 $aParentiu 610 $aReproduccio? humana assistida 615 7$aAnthropology 700 $aBestard-Camps$b Joan$4auth$0731912 906 $aBOOK 912 $a9910404062503321 996 $aTras la biologi?a: La moralidad del parentesco y las nuevas tecnologi?as de reproduccio?n$94521101 997 $aUNINA