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020 _a9783031025860
_9978-3-031-02586-0
024 7 _a10.1007/978-3-031-02586-0
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
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082 0 4 _a510
_223
100 1 _aKapadia, Mubbasir.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981539
245 1 0 _aVirtual Crowds
_h[electronic resource] :
_bSteps Toward Behavioral Realism /
_cby Mubbasir Kapadia, Nuria Pelechano, Jan Allbeck, Norm Badler.
250 _a1st ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXI, 248 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging,
_x2469-4223
505 0 _aPreface -- Acknowledgments -- Introduction -- Background -- Footstep-based Navigation and Animation for Crowds -- Following Footstep Trajectories in Real Time -- Context-sensitive Data-driven Crowd Simulation -- Conclusion -- Background -- Navigation Meshes -- Multi-domain Planning in Dynamic Environments -- Conclusion -- Background -- Sound Propagation and Perception for Autonomous Agents -- Multi-sense Attention for Autonomous Agents -- Semantics in Virtual Environments -- Conclusion -- Background -- Parameterized Memory Models -- Individual Differences -- Conclusion -- Background -- An Open Source Platform for Authoring Functional Crowds -- Event-centric Planning for Narrative Synthesis -- Conclusion -- Epilogue -- Bibliography -- Authors' Biographies .
520 _aThis volume presents novel computational models for representing digital humans and their interactions with other virtual characters and meaningful environments. In this context, we describe efficient algorithms to animate, control, and author human-like agents having their own set of unique capabilities, personalities, and desires. We begin with the lowest level of footstep determination to steer agents in collision-free paths. Steering choices are controlled by navigation in complex environments, including multi-domain planning with dynamically changing situations. Virtual agents are given perceptual capabilities analogous to those of real people, including sound perception, multi-sense attention, and understanding of environment semantics which affect their behavior choices. The roles and impacts of individual attributes, such as memory and personality are explored. The animation challenges of integrating a number of simultaneous behavior and movement demands on an agent are addressed through an open source software system. Finally, the creation of stories and narratives with groups of agents subject to planning and environmental constraints culminates the presentation.
650 0 _aMathematics.
_911584
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_981540
650 1 4 _aMathematics.
_911584
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
700 1 _aPelechano, Nuria.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981541
700 1 _aAllbeck, Jan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981542
700 1 _aBadler, Norm.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981543
710 2 _aSpringerLink (Online service)
_981544
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031014581
776 0 8 _iPrinted edition:
_z9783031037146
830 0 _aSynthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging,
_x2469-4223
_981545
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02586-0
912 _aZDB-2-SXSC
942 _cEBK
999 _c85194
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