Andreetto, Marco and Zelnik-Manor, Lihi and Perona, Pietro (2012) Unsupervised Learning of Categorical Segments in Image Collections. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34 (9). pp. 1842-1855. ISSN 0162-8828 http://resolver.caltech.edu/CaltechAUTHORS:20120731-101604181
Full text not available from this repository.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20120731-101604181
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a flexible probabilistic model, for representing the shape and appearance of each segment, with the popular "bag of visual words" model for recognition. If applied to a collection of images, our framework can simultaneously discover the segments of each image and the correspondence between such segments, without supervision. Such recurring segments may be thought of as the "parts" of corresponding objects that appear multiple times in the image collection. Thus, the model may be used for learning new categories, detecting/classifying objects, and segmenting images, without using expensive human annotation.
|Additional Information:||© 2012 IEEE. Manuscript received 12 Dec. 2009; revised 23 Nov. 2010; accepted 22 Nov. 2011; published online 22 Dec. 2011. Recommended for acceptance by S. Belongie. Date of Publication: 27 December 2011. Date of Current Version: 23 July 2012. The authors would like to thank Greg Griffin and Kristin Branson for reviewing the manuscript and giving many important suggestions for improving it. Funding for this research was provided by ONR-MURI Grant N00014-06-1- 0734. Lihi Zelnik-Manor is supported by FP7-IRG grant 2009783.|
|Subject Keywords:||Computer vision, image segmentation, unsupervised object recognition, graphical models, density estimation, scene analysis.|
|Official Citation:||Andreetto, Marco; Zelnik-Manor, Lihi; Perona, Pietro; , "Unsupervised Learning of Categorical Segments in Image Collections," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.34, no.9, pp.1842-1855, Sept. 2012 doi: 10.1109/TPAMI.2011.268 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6112771&isnumber=6247420|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Ruth Sustaita|
|Deposited On:||01 Aug 2012 14:40|
|Last Modified:||01 Aug 2012 14:40|
Repository Staff Only: item control page