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Time-of-Flight Cameras Principles, Methods and Applications /
Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2013.
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| Edición: | 1st ed. 2013. |
| Colección: | SpringerBriefs in Computer Science,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-1-4471-4658-2 | ||
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| 005 | 20220113052256.0 | ||
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| 008 | 121116s2013 xxk| s |||| 0|eng d | ||
| 020 | |a 9781447146582 |9 978-1-4471-4658-2 | ||
| 024 | 7 | |a 10.1007/978-1-4471-4658-2 |2 doi | |
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| 100 | 1 | |a Hansard, Miles. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Time-of-Flight Cameras |h [electronic resource] : |b Principles, Methods and Applications / |c by Miles Hansard, Seungkyu Lee, Ouk Choi, Radu Patrice Horaud. |
| 250 | |a 1st ed. 2013. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2013. | |
| 300 | |a X, 96 p. 55 illus., 19 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 490 | 1 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 505 | 0 | |a Characterization of Time-of-Flight Data -- Disambiguation of Time-of-Flight Data -- Calibration of Time-of-Flight Cameras -- Alignment of Time-of-Flight and Stereoscopic Data -- A Mixed Time-of-Flight and Stereoscopic Camera System. | |
| 520 | |a Time-of-flight (TOF) cameras provide a depth value at each pixel, from which the 3D structure of the scene can be estimated. This new type of active sensor makes it possible to go beyond traditional 2D image processing, directly to depth-based and 3D scene processing. Many computer vision and graphics applications can benefit from TOF data, including 3D reconstruction, activity and gesture recognition, motion capture and face detection. It is already possible to use multiple TOF cameras, in order to increase the scene coverage, and to combine the depth data with images from several colour cameras. Mixed TOF and colour systems can be used for computational photography, including full 3D scene modelling, as well as for illumination and depth-of-field manipulations. This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 700 | 1 | |a Lee, Seungkyu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Choi, Ouk. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Horaud, Radu Patrice. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781447146599 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447146575 |
| 830 | 0 | |a SpringerBriefs in Computer Science, |x 2191-5776 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4471-4658-2 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||