Advances in Computer Vision and Pattern Recognition

Zamir, Amir R.; Hakeem, Asaad; Van Gool, Luc; Shah, Mubarak; Szeliski, Richard

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.

Details

Published by: Springer

Publication Date: 2018-05-31

Format: Paperback

ISBN-13: 9783319798400

DOI: 10.1007/978-3-319-25781-5

Dimensions: 235cm x155cm

Pages: 351