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BMVC
2010
14 years 7 months ago
Image-based walkthroughs from incremental and partial scene reconstructions
We present a scalable and incremental approach for creating interactive image-based walkthroughs from a dynamically growing collection of photographs of a scene. Prior approaches,...
Kumar Srijan, Syed Ahsan Ishtiaque, Sudipta Sinha,...
CVPR
2005
IEEE
15 years 3 months ago
A Slit Scanning Depth of Route Panorama from Stationary Blur
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes...
Min Shi, Jiang Yu Zheng
DAGSTUHL
2006
14 years 11 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
NIPS
2004
14 years 11 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
AAAI
2010
14 years 11 months ago
Unsupervised Learning of Event Classes from Video
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...