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001 | 302015 | ||
003 | MX-SnUAN | ||
005 | 20190821111037.0 | ||
007 | cr nn 008mamaa | ||
008 | 150903s2011 gw | o |||| 0|eng d | ||
020 |
_a9783642115684 _99783642115684 |
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024 | 7 |
_a10.1007/9783642115684 _2doi |
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035 | _avtls000354666 | ||
039 | 9 |
_a201509030529 _bVLOAD _c201405060338 _dVLOAD _y201402191023 _zstaff |
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040 |
_aMX-SnUAN _bspa _cMX-SnUAN _erda |
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050 | 4 | _aTK5102.9 | |
100 | 1 |
_9322174 _aHammoud, Riad I. _eeditor. |
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245 | 1 | 0 |
_aMachine Vision Beyond Visible Spectrum / _cedited by Riad Hammoud, Guoliang Fan, Robert W. McMillan, Katsushi Ikeuchi. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
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300 |
_ax, 254 páginas _brecurso en línea. |
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336 |
_atexto _btxt _2rdacontent |
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337 |
_acomputadora _bc _2rdamedia |
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338 |
_arecurso en línea _bcr _2rdacarrier |
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347 |
_aarchivo de texto _bPDF _2rda |
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490 | 0 |
_aAugmented Vision and Reality ; _v1 |
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500 | _aSpringer eBooks | ||
505 | 0 | _a1. Target Recognition in Infrared: Local Feature Based Person Detection and Tracking Beyond the Visible Spectrum -- Fuzzy mixture of Gaussians for the detection of moving objects in and beyond visible spectrum -- Dynamic Appearance Learning by Adaptive Kalman Filters for Robust Infrared Tracking -- Pedestrian Association and Localization in Monocular FIR Video Sequence -- Vehicle Matching and Recognition under Large Variations of Pose and Illumination -- 2. Multi-Sensor Fusion and Smart Sensors: Fusion of a Camera and a Laser Range Sensor for Vehicle Recognition -- Geometric Sequence (GS) Imaging with Bayesian Smoothing for Optical and Capacitive Imaging Sensors -- A System Approach to Adaptive Multimodal Sensor Designs.-3. Hyperspectral Image Analysis: Statistical Affine Invariant Hyperspectral Texture Descriptors Based Upon Harmonic Analysis -- Face Tracking and Classification Using Hyperspectral Video Sequences -- On near real-time moving Object Detection and Tracking in Multi-spectral Aerial imagery. | |
520 | _aThe material of this book encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vision and pattern recognition. This book is composed of six parts: * Advanced background modeling for surveillance * Advances in Tracking in Infrared imagery * Methods for Pose estimation in Ultrasound and LWIR imagery * Recognition in multi-spectral and synthetic aperture radar * Fusion of disparate sensors * Smart Sensors | ||
590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
700 | 1 |
_aFan, Guoliang. _eeditor. _9340117 |
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700 | 1 |
_aMcMillan, Robert W. _eeditor. _9340118 |
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700 | 1 |
_aIkeuchi, Katsushi. _eeditor. _9303345 |
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710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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776 | 0 | 8 |
_iEdición impresa: _z9783642115677 |
856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-642-11568-4 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
942 | _c14 | ||
999 |
_c302015 _d302015 |