01077nam--2200361---450 99000134360020331620210913103516.0000134360USA01000134360(ALEPH)000134360USA0100013436020040113d1975----km-y0itay0103----baitaIT||||||||001yy<<L'>>organizzazione del lavoro in Italiaa cura di Maurizio LichtnerRomaEditori Riuniti1975306 p.19 cmStrumenti per la ricerca interdisciplinare122001Strumenti per la ricerca interdisciplinare122001001-------2001ItaliaIndustrializzazioneItaliaOrganizzazione del lavoro331.45LICHTNER,MaurizioITsalbcISBD990001343600203316X.3.B. 3225(331.45 Org)68875 L.M.331.45BKUMAOrganizzazione del lavoro in Italia456179UNISA03272nam 22006135 450 991040966090332120251113182249.0981-13-9148-310.1007/978-981-13-9148-4(CKB)4100000011325645(MiAaPQ)EBC6237599(DE-He213)978-981-13-9148-4(PPN)248593323(MiAaPQ)EBC6237231(EXLCZ)99410000001132564520200624d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHeterogeneous Facial Analysis and Synthesis /by Yi Li, Huaibo Huang, Ran He, Tieniu Tan1st ed. 2020.Singapore :Springer Nature Singapore :Imprint: Springer,2020.1 online resource (104 pages)SpringerBriefs in Computer Science,2191-5776981-13-9147-5 1. Introduction -- 2. Foundation -- 3. Unconditional Image Generation -- 4. Cross-spectral hallucination -- 5. Cosmetic Transfer -- 6. Face Super Resolution -- 7. Face Rotation -- 8. Expression Synthesis -- 9. Face Completion -- 10. Suggestions.This book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.SpringerBriefs in Computer Science,2191-5776Computer visionPattern recognition systemsMachine learningComputer VisionAutomated Pattern RecognitionMachine LearningComputer vision.Pattern recognition systems.Machine learning.Computer Vision.Automated Pattern Recognition.Machine Learning.006.37Li Yiauthttp://id.loc.gov/vocabulary/relators/aut428643Huang Huaiboauthttp://id.loc.gov/vocabulary/relators/autHe Ranauthttp://id.loc.gov/vocabulary/relators/autTan Tieniuauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910409660903321Heterogeneous Facial Analysis and Synthesis2251871UNINA