Extracting image regions by structured edge prediction

Yi Ting Chen, Jimei Yang, Ming Hsuan Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We present two approaches to extract regions from structured edge detection. While the state-of-the-art algorithm based on globalized probability of boundary (gPb) generates a hierarchical region tree, it entails significant computational load. In this work, we exploit an efficient algorithm for structured edge prediction to extract regions. To generate high quality regions, we develop a novel algorithm to link the structured edge and gPb hierarchical image segmentation framework with steerable filters. The extracted regions are grouped by the proposed hierarchical grouping method to generate object proposals for effective detection and recognition problems. We demonstrate the effectiveness of our region generation for image segmentation on the BSDS500 database, and region generation for object proposals on the PASCAL VOC 2007 benchmark database. Experimental results show that the proposed algorithm achieves the comparable or superior quality to the state-of-the-art methods.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1060-1067
Number of pages8
ISBN (Electronic)9781479966820
DOIs
Publication statusPublished - 2015 Feb 19
Event2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015 - Waikoloa, United States
Duration: 2015 Jan 52015 Jan 9

Publication series

NameProceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015

Conference

Conference2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015
CountryUnited States
CityWaikoloa
Period15/1/515/1/9

Fingerprint

Image segmentation
Edge detection
Volatile organic compounds

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Chen, Y. T., Yang, J., & Yang, M. H. (2015). Extracting image regions by structured edge prediction. In Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015 (pp. 1060-1067). [7046000] (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WACV.2015.146
Chen, Yi Ting ; Yang, Jimei ; Yang, Ming Hsuan. / Extracting image regions by structured edge prediction. Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 1060-1067 (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).
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Chen, YT, Yang, J & Yang, MH 2015, Extracting image regions by structured edge prediction. in Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015., 7046000, Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1060-1067, 2015 15th IEEE Winter Conference on Applications of Computer Vision, WACV 2015, Waikoloa, United States, 15/1/5. https://doi.org/10.1109/WACV.2015.146

Extracting image regions by structured edge prediction. / Chen, Yi Ting; Yang, Jimei; Yang, Ming Hsuan.

Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1060-1067 7046000 (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Chen YT, Yang J, Yang MH. Extracting image regions by structured edge prediction. In Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1060-1067. 7046000. (Proceedings - 2015 IEEE Winter Conference on Applications of Computer Vision, WACV 2015). https://doi.org/10.1109/WACV.2015.146