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Tzeng et al., 2013 - Google Patents

User-driven geolocation of untagged desert imagery using digital elevation models

Tzeng et al., 2013

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Document ID
1477767820377480058
Author
Tzeng E
Zhai A
Clements M
Townshend R
Zakhor A
Publication year
Publication venue
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops

External Links

Snippet

We propose a system for user-aided visual localization of desert imagery without the use of any metadata such as GPS readings, camera focal length, or field-of-view. The system makes use only of publicly available digital elevation models (DEMs) to rapidly and …
Continue reading at www.cv-foundation.org (PDF) (other versions)

Classifications

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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
    • G—PHYSICS
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    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
    • G—PHYSICS
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664—Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684—Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697—Outdoor scenes
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