USEQ: Ultra-fast superpixel extraction via quantization

Chun Rong Huang, Wei An Wang, Szu Yu Lin, Yen Yu Lin

研究成果: Conference contribution

12 引文 斯高帕斯(Scopus)

摘要

We propose a novel superpixel extraction method named USEQ to generate regular and compact superpixels. To reduce the computational burden of iterative optimization procedures used in most recent approaches, the spatial and color quantizations are performed in advance to represent pixels and superpixels. Maximum a posteriori estimation in both pixel and region levels is then adopted to aggregate pixels into spatially and visually coherent superpixels. The resultant superpixels are extremely efficient to generate and can more precisely adhere to object boundaries. Compared to the state-of-the-art approaches to superpixel extraction, USEQ can achieve better or competitive performance in terms of boundary recall, undersegmentation error and achievable segmentation accuracy, and is significantly faster than these approaches.

原文English
主出版物標題2016 23rd International Conference on Pattern Recognition, ICPR 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1965-1970
頁數6
ISBN(電子)9781509048472
DOIs
出版狀態Published - 2016 1月 1
事件23rd International Conference on Pattern Recognition, ICPR 2016 - Cancun, Mexico
持續時間: 2016 12月 42016 12月 8

出版系列

名字Proceedings - International Conference on Pattern Recognition
0
ISSN(列印)1051-4651

Conference

Conference23rd International Conference on Pattern Recognition, ICPR 2016
國家/地區Mexico
城市Cancun
期間16-12-0416-12-08

All Science Journal Classification (ASJC) codes

  • 電腦視覺和模式識別

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