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008 220601s2014 sz | s |||| 0|eng d
020 _a9783031018121
_9978-3-031-01812-1
024 7 _a10.1007/978-3-031-01812-1
_2doi
050 4 _aTA1501-1820
050 4 _aTA1634
072 7 _aUYT
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYT
_2thema
082 0 4 _a006
_223
100 1 _aHua, Gang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983155
245 1 0 _aVision-Based Interaction
_h[electronic resource] /
_cby Gang Hua, Matthew Turk.
250 _a1st ed. 2014.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVIII, 116 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 Computer Vision,
_x2153-1064
505 0 _aPreface -- Acknowledgments -- Figure Credits -- Introduction -- Awareness: Detection and Recognition -- Control: Visual Lexicon Design for Interaction -- Multimodal Integration -- Applications of Vision-Based Interaction -- Summary and Future Directions -- Bibliography -- Authors' Biographies.
520 _aIn its early years, the field of computer vision was largely motivated by researchers seeking computational models of biological vision and solutions to practical problems in manufacturing, defense, and medicine. For the past two decades or so, there has been an increasing interest in computer vision as an input modality in the context of human-computer interaction. Such vision-based interaction can endow interactive systems with visual capabilities similar to those important to human-human interaction, in order to perceive non-verbal cues and incorporate this information in applications such as interactive gaming, visualization, art installations, intelligent agent interaction, and various kinds of command and control tasks. Enabling this kind of rich, visual and multimodal interaction requires interactive-time solutions to problems such as detecting and recognizing faces and facial expressions, determining a person's direction of gaze and focus of attention, tracking movement of thebody, and recognizing various kinds of gestures. In building technologies for vision-based interaction, there are choices to be made as to the range of possible sensors employed (e.g., single camera, stereo rig, depth camera), the precision and granularity of the desired outputs, the mobility of the solution, usability issues, etc. Practical considerations dictate that there is not a one-size-fits-all solution to the variety of interaction scenarios; however, there are principles and methodological approaches common to a wide range of problems in the domain. While new sensors such as the Microsoft Kinect are having a major influence on the research and practice of vision-based interaction in various settings, they are just a starting point for continued progress in the area. In this book, we discuss the landscape of history, opportunities, and challenges in this area of vision-based interaction; we review the state-of-the-art and seminal works in detecting and recognizing the human body and its components; we explore both static and dynamic approaches to "looking at people" vision problems; and we place the computer vision work in the context of other modalities and multimodal applications. Readers should gain a thorough understanding of current and future possibilities of computer vision technologies in the context of human-computer interaction.
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_983158
650 0 _aPattern recognition systems.
_93953
650 1 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aComputer Vision.
_983159
650 2 4 _aAutomated Pattern Recognition.
_931568
700 1 _aTurk, Matthew.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983161
710 2 _aSpringerLink (Online service)
_983162
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031006845
776 0 8 _iPrinted edition:
_z9783031029400
830 0 _aSynthesis Lectures on Computer Vision,
_x2153-1064
_983164
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01812-1
912 _aZDB-2-SXSC
942 _cEBK
999 _c85461
_d85461