Geolocalization

Image-based Geo-localization is a relatively new and challenging problem in Computer Vision. It is simply defined as: given a photo, where was it taken? In this project, we are interested in: 1) localizing a ground-level image with an aerial imagery gallery by cross-view image matching 2) designing a human-in-the-loop system to learn and match the geographically meaningful visual patterns for geolocalization 3) correspondence matching for images under ultra-wide baseline conditions.

Works

  • Learning to Match Aerial Images with Deep Attentive Architectures Image matching is a fundamental problem in Computer Vision. In the context of feature-based matching, SIFT and its variants have long excelled in a wide array of applications. However, for ultra-wide baselines, as in the case of aerial images captured under large camera rotations, the appearance variation goes beyond the reach of SIFT and RANSAC. ...

Papers

2016

Learning to Detect and Match Keypoints with Deep Architectures

Altwaijry, Hani; Veit, Andreas; Belongie, Serge

Learning to Detect and Match Keypoints with Deep Architectures

British Machine Vision Conference (BMVC), York, UK, 2016.

(Links | BibTeX)

Lin, Tsung-Yi; Belongie, Serge; Hays, James

Cross-View Image Geo-localization

Zamir, Amir; Hakeem, Asaad; Gool, Luc Van; Shah, Mubarak; Szeliski, Richard (Ed.): Large-Scale Visual Geo-Localization, pp. 59-76, Springer, 2016.

(Links | BibTeX)

Learning to Match Aerial Images with Deep Attentive Architectures

Altwaijry, Hani; Trulls, Eduard; Hays, James; Fua, Pascal; Belongie, Serge

Learning to Match Aerial Images with Deep Attentive Architectures

Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016.

(Links | BibTeX)

2015

Learning Deep Representations for Ground-to-Aerial Geolocalization

Lin, Tsung-Yi; Cui, Yin; Belongie, Serge; Hays, James

Learning Deep Representations for Ground-to-Aerial Geolocalization

Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015, (Oral).

(Links | BibTeX)

2014

Recognizing Locations with Google Glass: A Case Study

Altwaijry, Hani; Moghimi, Mohammad; Belongie, Serge

Recognizing Locations with Google Glass: A Case Study

IEEE Winter Conference on Applications of Computer Vision (WACV), Steamboat Springs, Colorado, 2014.

(Links | BibTeX)

2013

Cross-view Image Geolocalization

Lin, Tsung-Yi; Belongie, Serge; Hays, James

Cross-view Image Geolocalization

CVPR, Portland, OR, 2013.

(Links | BibTeX)

Ultra-wide Baseline Aerial Imagery Matching in Urban Environments

Altwaijry, Hani; Belongie, Serge

Ultra-wide Baseline Aerial Imagery Matching in Urban Environments

British Machine Vision Conference (BMVC), Bristol, 2013.

(Links | BibTeX)

People