| 000 | 04894nam a22004815i 4500 | ||
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| 001 | 978-0-387-27890-2 | ||
| 003 | DE-He213 | ||
| 005 | 20250710083940.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2005 xxu| s |||| 0|eng d | ||
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_a9780387278902 _a99780387278902 |
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| 024 | 7 |
_a10.1007/0-387-27890-7 _2doi |
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| 082 | 0 | 4 |
_a005.437 _223 |
| 082 | 0 | 4 |
_a4.019 _223 |
| 100 | 1 |
_aKisačanin, Branislav. _eeditor. |
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| 245 | 1 | 0 |
_aReal-Time Vision for Human-Computer Interaction _h[recurso electrónico] / _cedited by Branislav Kisačanin, Vladimir Pavlović, Thomas S. Huang. |
| 264 | 1 |
_aBoston, MA : _bSpringer US, _c2005. |
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| 300 |
_aXVIII, 301 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_arecurso en línea _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 505 | 0 | _aRTV4HCI: A Historical Overview -- Real-Time Algorithms: From Signal Processing to Computer Vision -- Advances in RTV4HCI -- Recognition of Isolated Fingerspelling Gestures Using Depth Edges -- Appearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles -- Flocks of Features for Tracking Articulated Objects -- Static Hand Posture Recognition Based on Okapi-Chamfer Matching -- Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features -- Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters -- A Real-Time Vision Interface Based on Gaze Detection - EyeKeys -- Map Building from Human-Computer Interactions -- Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures -- Epipolar Constrained User Pushbutton Selection in Projected Interfaces -- Looking Ahead -- Vision-Based HCI Applications -- The Office of the Past -- MPEG-4 Face and Body Animation Coding Applied to HCI -- Multimodal Human-Computer Interaction -- Smart Camera Systems Technology Roadmap. | |
| 520 | _aAs computers become prevalent in all aspects of daily life, the need for natural and effective Human-Computer Interaction (HCI) becomes increasingly important. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, as well as novel and convincing applications. This state-of-the-art contributed volume presents a series of peer-reviewed survey articles written by international leading experts in computer vision, pattern recognition and Human-Computer Interaction. It is the first published text capturing the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in numerous industries, including computer games and medical and automotive systems. It is also an excellent starting point for further research in these areas. Contributions to this volume address specific topics such as: Real-Time Algorithms: from Signal Processing to Computer Vision Recognition of Isolated Fingerspelling Gestures Using Depth Edges Appearance-Based Real-Time Understanding of Gestures Using Projected Euler Angles Flocks of Features for Tracking Articulated Objects Static Hand Posture Recognition Based on Okapi-Chamfer Matching Visual Modeling of Dynamic Gestures Using 3D Appearance and Motion Features Head and Facial Animation Tracking Using Appearance-Adaptive Models and Particle Filters A Real-Time Vision Interface Based on Gaze Detection - Eyekeys Map Building From Human-Computer Interactions Real-Time Inference of Complex Mental States from Facial Expressions and Head Gestures Epipolar Constrained User Pushbutton Selection in Projected Interfaces Vision-Based HCI Applications The Office of the Past MPEG-4 Face and Body Animation Coding Applied to HCI Multimodal Human-Computer Interaction Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision. | ||
| 650 | 0 | _aCOMPUTER SCIENCE. | |
| 650 | 0 | _aARTIFICIAL INTELLIGENCE. | |
| 650 | 0 | _aCOMPUTER VISION. | |
| 650 | 0 | _aOPTICAL PATTERN RECOGNITION. | |
| 650 | 1 | 4 | _aCOMPUTER SCIENCE. |
| 650 | 2 | 4 | _aUSER INTERFACES AND HUMAN COMPUTER INTERACTION. |
| 650 | 2 | 4 | _aCOMPUTER IMAGING, VISION, PATTERN RECOGNITION AND GRAPHICS. |
| 650 | 2 | 4 | _aPATTERN RECOGNITION. |
| 650 | 2 | 4 | _aARTIFICIAL INTELLIGENCE (INCL. ROBOTICS). |
| 700 | 1 |
_aPavlović, Vladimir. _eeditor. |
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| 700 | 1 |
_aHuang, Thomas S. _eeditor. |
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| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9780387276977 |
| 856 | 4 | 0 |
_uhttp://dx.doi.org/10.1007/0-387-27890-7 _zVer el texto completo en las instalaciones del CICY |
| 912 | _aZDB-2-SCS | ||
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