LEADER 03480nam 22006015 450 001 9910409660903321 005 20200705112952.0 010 $a981-13-9148-3 024 7 $a10.1007/978-981-13-9148-4 035 $a(CKB)4100000011325645 035 $a(MiAaPQ)EBC6237599 035 $a(DE-He213)978-981-13-9148-4 035 $a(PPN)248593323 035 $a(EXLCZ)994100000011325645 100 $a20200624d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHeterogeneous Facial Analysis and Synthesis /$fby Yi Li, Huaibo Huang, Ran He, Tieniu Tan 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (104 pages) 225 1 $aSpringerBriefs in Computer Science,$x2191-5768 311 $a981-13-9147-5 327 $a1. 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. 330 $aThis book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks. 410 0$aSpringerBriefs in Computer Science,$x2191-5768 606 $aOptical data processing 606 $aPattern recognition 606 $aMachine learning 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aMachine Learning$3https://scigraph.springernature.com/ontologies/product-market-codes/I21010 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aMachine learning. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aMachine Learning. 676 $a006.37 700 $aLi$b Yi$4aut$4http://id.loc.gov/vocabulary/relators/aut$0428643 702 $aHuang$b Huaibo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aHe$b Ran$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aTan$b Tieniu$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409660903321 996 $aHeterogeneous Facial Analysis and Synthesis$92251871 997 $aUNINA