Large-Scale Visual Geo-Localization / edited by Amir R Zamir... [et al.]
Contributor(s): Zamir, Amir R., editor literario
Material type:
E-bookSeries: Publisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XI, 351 p.) : 152 ilustraciones, 7 ilustraciones en color.ISBN: 9783319257815.Subject: Visión por ordenador
Summary: This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: Discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales Investigates geo-localization techniques that are built upon high-level and semantic cues Describes methods that perform precise localization by geometrically aligning the query image against a 3D model Reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings Presents contributions from the leading and most active researchers in the field from both academia and industry This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA1634 .L374 2016 EB (Browse shelf(Opens below)) | .i11588226 | Acceso electrónico | eBOOK .i11588226 |
Browsing Madrid Digital shelves, Shelving location: Acceso Electrónico (UEM) Close shelf browser (Hides shelf browser)
| TA1634 .D464 2015 EB High-Dimensional and Low-Quality Visual Information Processing From Structured Sensing and Understanding | TA1634 .K75 2016 EB Computer Vision Metrics : Textbook Edition | TA1634 .K896 2015 EB Reliability and Availability of Quality Control Based on Wavelet Computer Vision | TA1634 .L374 2016 EB Large-Scale Visual Geo-Localization | TA1634 .P484 2017 EB Foundations of computer vision : computational geometry, visual image structures and object shape detection | TA1634 .P763 2017 EB Proceedings of International Conference on Computer Vision and Image Processing : CVIP 2016 Volume 1 | TA1634 .P763 2017 EB Proceedings of International Conference on Computer Vision and Image Processing : CVIP 2016 Volume 2 |
This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: Discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales Investigates geo-localization techniques that are built upon high-level and semantic cues Describes methods that perform precise localization by geometrically aligning the query image against a 3D model Reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings Presents contributions from the leading and most active researchers in the field from both academia and industry This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field.
There are no comments on this title.