大葉大學圖書館 |

Large-scale visual geo-localization[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	910.285
書名/作者:	Large-scale visual geo-localization/ edited by Amir R. Zamir ... [et al.].
其他作者:	Zamir, Amir R.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xi, 351 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Geographic information systems.
標題:	Geospatial data.
標題:	Computer Science.
標題:	Image Processing and Computer Vision.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Geographical Information Systems/Cartography.
標題:	Pattern Recognition.
ISBN:	9783319257815
ISBN:	9783319257792
內容註:	Introduction to Large Scale Visual Geo-Localization -- Part I: Data-Driven Geo-Localization -- Discovering Mid-Level Visual Connections in Space and Time -- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos -- Cross-View Image Geo-Localization -- Ultra-Wide Baseline Facade Matching for Geo-Localization -- Part II: Semantic Reasoning-Based Geo-Localization -- Semantically Guided Geo-Localization and Modeling in Urban Environments -- Recognizing Landmarks in Large-Scale Social Image Collections -- Part III: Geometric Matching-Based Geo-Localization -- Worldwide Pose Estimation Using 3D Point Clouds -- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization -- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming -- Image-Based Large-Scale Geo-Localization in Mountainous Regions -- Adaptive Rendering for Large-Scale Skyline Characterization and Matching -- User-Aided Geo-Localization of Untagged Desert Imagery -- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment -- Part IV: Real-World Applications -- A Memory Efficient Discriminative Approach for Location-Aided Recognition -- A Real-World System for Image/Video Geo-Localization -- Photo Recall: Using the Internet to Label Your Photos.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-25781-5

Large-scale visual geo-localization[electronic resource] /
Large-scale visual geo-localization[electronic resource] /edited by Amir R. Zamir ... [et al.]. - Cham :Springer International Publishing :2016. - xi, 351 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

Introduction to Large Scale Visual Geo-Localization -- Part I: Data-Driven Geo-Localization -- Discovering Mid-Level Visual Connections in Space and Time -- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos -- Cross-View Image Geo-Localization -- Ultra-Wide Baseline Facade Matching for Geo-Localization -- Part II: Semantic Reasoning-Based Geo-Localization -- Semantically Guided Geo-Localization and Modeling in Urban Environments -- Recognizing Landmarks in Large-Scale Social Image Collections -- Part III: Geometric Matching-Based Geo-Localization -- Worldwide Pose Estimation Using 3D Point Clouds -- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization -- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming -- Image-Based Large-Scale Geo-Localization in Mountainous Regions -- Adaptive Rendering for Large-Scale Skyline Characterization and Matching -- User-Aided Geo-Localization of Untagged Desert Imagery -- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment -- Part IV: Real-World Applications -- A Memory Efficient Discriminative Approach for Location-Aided Recognition -- A Real-World System for Image/Video Geo-Localization -- Photo Recall: Using the Internet to Label Your Photos.

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.

ISBN: 9783319257815

Standard No.: 10.1007/978-3-319-25781-5doiSubjects--Topical Terms:

446321
Geographic information systems.

LC Class. No.: G70.217.G46 / L37 2016

Dewey Class. No.: 910.285

Large-scale visual geo-localization[electronic resource] /
LDR:03889nmm a2200349 a 4500 001 462014
003 DE-He213
005 20161215090804.0
006 m d
007 cr nn 008maaau
008 170223s2016 gw s 0 eng d
020 $a 9783319257815 $q (electronic bk.)
020 $a 9783319257792 $q (paper)
024 7 $a 10.1007/978-3-319-25781-5 $2 doi
035 $a 978-3-319-25781-5
040 $a GP $c GP
041 0 $a eng
050 4 $a G70.217.G46 $b L37 2016
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 910.285 $2 23
090 $a G70.217.G46 $b L322 2016
245 0 0 $a Large-scale visual geo-localization $h [electronic resource] / $c edited by Amir R. Zamir ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xi, 351 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in computer vision and pattern recognition, $x 2191-6586
505 0 $a Introduction to Large Scale Visual Geo-Localization -- Part I: Data-Driven Geo-Localization -- Discovering Mid-Level Visual Connections in Space and Time -- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos -- Cross-View Image Geo-Localization -- Ultra-Wide Baseline Facade Matching for Geo-Localization -- Part II: Semantic Reasoning-Based Geo-Localization -- Semantically Guided Geo-Localization and Modeling in Urban Environments -- Recognizing Landmarks in Large-Scale Social Image Collections -- Part III: Geometric Matching-Based Geo-Localization -- Worldwide Pose Estimation Using 3D Point Clouds -- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization -- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming -- Image-Based Large-Scale Geo-Localization in Mountainous Regions -- Adaptive Rendering for Large-Scale Skyline Characterization and Matching -- User-Aided Geo-Localization of Untagged Desert Imagery -- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment -- Part IV: Real-World Applications -- A Memory Efficient Discriminative Approach for Location-Aided Recognition -- A Real-World System for Image/Video Geo-Localization -- Photo Recall: Using the Internet to Label Your Photos.
520 $a 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.
650 0 $a Geographic information systems. $3 446321
650 0 $a Geospatial data. $3 467016
650 1 4 $a Computer Science. $3 423143
650 2 4 $a Image Processing and Computer Vision. $3 463967
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Geographical Information Systems/Cartography. $3 463810
650 2 4 $a Pattern Recognition. $3 463916
700 1 $a Zamir, Amir R. $3 666233
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Advances in computer vision and pattern recognition. $3 466956
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-25781-5
950 $a Computer Science (Springer-11645)