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Object Detection and Segmentation from Joint Embedding of Parts and Pixels

Maire, Michael and Yu, Stella X. and Perona, Pietro (2011) Object Detection and Segmentation from Joint Embedding of Parts and Pixels. In: 2011 International Conference on Computer Vision. IEEE , Piscataway, NJ, pp. 2142-2149. ISBN 978-1-4577-1102-2.

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We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This framework serves as a perceptual organization stage that integrates information from low-level image cues with that of high-level part detectors. Pixels and parts each appear as nodes in a graph whose edges encode both affinity and ordering relationships. We derive a generalized eigen-problem from this graph and read off an interpretation of the image from the solution eigenvectors. Combining an off-the-shelf top-down part-based person detector with our low-level cues and grouping formulation, we demonstrate improvements to object detection and segmentation.

Item Type:Book Section
Related URLs:
URLURL TypeDescription
Perona, Pietro0000-0002-7583-5809
Additional Information:© 2011 IEEE. ONR MURI N00014-06-1-0734, ONR MURI 1015 G NA127, and ARL Cooperative Agreement W911NF-10-2-0016 supported this work. Stella X. Yu was funded by NSF CAREER IIS-0644204 and a Clare Boothe Luce Professorship. Thanks to litendra Malik for suggesting poselets as a figure/ground cue and Lubomir Bourdev for providing poselet code.
Funding AgencyGrant Number
Office of Naval Research (ONR)N00014-06-1-0734
Office of Naval Research (ONR)1015 G NA127
Army Research LaboratoryW911NF-10-2-0016
Clare Boothe Luce ProfessorshipUNSPECIFIED
Subject Keywords:image segmentation, object detection
Record Number:CaltechAUTHORS:20180615-161217042
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Official Citation:M. Maire, S. X. Yu and P. Perona, "Object detection and segmentation from joint embedding of parts and pixels," 2011 International Conference on Computer Vision, Barcelona, 2011, pp. 2142-2149. doi: 10.1109/ICCV.2011.6126490
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:87174
Deposited By: George Porter
Deposited On:18 Jun 2018 16:28
Last Modified:03 Oct 2019 19:53

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