NDLI: Inference and learning with hierarchical compositional models

Content Provider	IEEE Xplore Digital Library
Author	Kokkinos, I. Yuille, A.
Copyright Year	2009
Description	Author affiliation: Lab. MAS, Ecole Centrale de Paris, Orsay, France (Kokkinos, I.) \|\| Univ. of California at Los Angeles, Los Angeles, CA, USA (Yuille, A.)
Abstract	Summary form only given: In this work we consider the problem of object parsing, namely detecting an object and its components by composing them from image observations. We build to address the computational complexity of the inference problem. For this we exploit our hierarchical object representation to efficiently compute a coarse solution to the problem, which we then use to guide search at a finer level. Starting from our adaptation of the A* parsing algorithm to the problem of object parsing, we then propose a coarse-to-fine approach that is capable of detecting multiple objects simultaneously. We extend this work to automatically learn a hierarchical model for a category from a set of training images for which only the bounding box is available. Our approach consists in (a) automatically registering a set of training images and constructing an object template (b) recovering object contours (c) finding object parts based on contour affinities and (d) discriminatively learning a parsing cost function.
Starting Page	6
Ending Page	6
File Size	73953
Page Count	1
File Format	PDF
ISBN	9781424439942
ISSN	21607508
DOI	10.1109/CVPRW.2009.5204336
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Graphical models Clustering methods Object detection Parallel processing Cost function Inference algorithms Robustness Computational complexity Statistics
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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