000			03342nam a22005655i 4500
001			978-981-13-9148-4
003			DE-He213
005			20240423125042.0
007			cr nn 008mamaa
008			200624s2020 si | s |||| 0|eng d
020			_a9789811391484 _9978-981-13-9148-4
024	7		_a10.1007/978-981-13-9148-4 _2doi
050		4	_aTA1634
072		7	_aUYQV _2bicssc
072		7	_aCOM016000 _2bisacsh
072		7	_aUYQV _2thema
082	0	4	_a006.37 _223
100	1		_aLi, Yi. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aHeterogeneous Facial Analysis and Synthesis _h[electronic resource] / _cby Yi Li, Huaibo Huang, Ran He, Tieniu Tan.
250			_a1st ed. 2020.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2020.
300			_aX, 97 p. 35 illus., 33 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Computer Science, _x2191-5776
505	0		_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.
520			_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.
650		0	_aComputer vision.
650		0	_aPattern recognition systems.
650		0	_aMachine learning.
650	1	4	_aComputer Vision.
650	2	4	_aAutomated Pattern Recognition.
650	2	4	_aMachine Learning.
700	1		_aHuang, Huaibo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aHe, Ran. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aTan, Tieniu. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811391477
776	0	8	_iPrinted edition: _z9789811391491
830		0	_aSpringerBriefs in Computer Science, _x2191-5776
856	4	0	_uhttps://doi.org/10.1007/978-981-13-9148-4
912			_aZDB-2-SCS
912			_aZDB-2-SXCS
942			_cSPRINGER
999			_c173689 _d173689