Recognizing scene viewpoint using panoramic place representation
Name
Torralba_Recognizing scene.pdf
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8.2 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Xiao, Jianxiong
Ehinger, Krista A.
Oliva, Aude
Torralba, Antonio
Date Issued
June 2012
Journal
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Xiao, Jianxiong, K. A. Ehinger, A. Oliva, and A. Torralba. “Recognizing Scene Viewpoint Using Panoramic Place Representation.” 2012 IEEE Conference on Computer Vision and Pattern Recognition (June 2012).
Version
Author's final manuscript
Abstract
We introduce the problem of scene viewpoint recognition, the goal of which is to classify the type of place shown in a photo, and also recognize the observer's viewpoint within that category of place. We construct a database of 360° panoramic images organized into 26 place categories. For each category, our algorithm automatically aligns the panoramas to build a full-view representation of the surrounding place. We also study the symmetry properties and canonical viewpoint of each place category. At test time, given a photo of a scene, the model can recognize the place category, produce a compass-like indication of the observer's most likely viewpoint within that place, and use this information to extrapolate beyond the available view, filling in the probable visual layout that would appear beyond the boundary of the photo.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/CVPR.2012.6247991
