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Displaying 1-7 out of 7 total
SfM with MRFs: Discrete-Continuous Optimization for Large-Scale Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
By David J. Crandall,Andrew Owens,Noah Snavely,Daniel P. Huttenlocher
Issue Date:December 2013
Recent work in structure from motion (SfM) has built 3D models from large collections of images downloaded from the Internet. Many approaches to this problem use incremental algorithms that solve progressively larger bundle adjustment problems. These incre...
Observing the Natural World with Flickr
2013 IEEE International Conference on Computer Vision Workshops (ICCVW)
By Jingya Wang,Mohammed Korayem,David J. Crandall
Issue Date:December 2013
The billions of public photos on online social media sites contain a vast amount of latent visual information about the world. In this paper, we study the feasibility of observing the state of the natural world by recognizing specific types of scenes and o...
Composite Models of Objects and Scenes for Category Recognition
Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By David J. Crandall, Daniel P. Huttenlocher
Issue Date:June 2007
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifies relationships between the object and surroundingscene context, and an objec...
Attribute-based vehicle recognition using viewpoint-aware multiple instance SVMs
2014 IEEE Winter Conference on Applications of Computer Vision (WACV)
By Kun Duan,Luca Marchesotti,David J. Crandall
Issue Date:March 2014
Vehicle recognition is a challenging task with many useful applications. State-of-the-art methods usually learn discriminative classifiers for different vehicle categories or different viewpoint angles, but little work has explored vehicle recognition usin...
Mining photo-sharing websites to study ecological phenomena
Found in: Proceedings of the 21st international conference on World Wide Web (WWW '12)
By David J. Crandall, Haipeng Zhang, Gretchen LeBuhn, Mohammed Korayem
Issue Date:April 2012
The popularity of social media websites like Flickr and Twitter has created enormous collections of user-generated content online. Latent in these content collections are observations of the world: each photo is a visual snapshot of what the world looked l...
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Found in: Proceedings of the fifth ACM international conference on Web search and data mining (WSDM '12)
By Erkang You, Haipeng Zhang, Mohammed Korayem, David J. Crandall
Issue Date:February 2012
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections between the concepts that the tags represent. Existing approaches have largely...
Mapping the world's photos
Found in: Proceedings of the 18th international conference on World wide web (WWW '09)
By Daniel Huttenlocher, David J. Crandall, Jon Kleinberg, Lars Backstrom
Issue Date:April 2009
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analysis based on text tags and image data with structural analysis based on geosp...
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