Optics and Precision Engineering, Volume. 22, Issue 1, 160(2014)
Unsupervised detection of image object with any class
[1] [1] LEIBE B, LEONARDIS A, SCHIELE B. Combined object categorization and segmentation with an implicit shape model [C]. Europeon Conference on Computer Vision, ECCV, 2004: 17-32.
[2] [2] FELZENSZWALB P F, GIRSHICK R B, MCALLESTER R B D,et al.. Object detection with discriminatively trained part based models [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,TPAMI,2010: 1627-1645.
[3] [3] LI L J, WANG G, LI F F . OPTIMOL: automatic online picture collection via incremental model learning [C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2007: 1-8.
[4] [4] GU C, LIM J J, ARBELAEZ P, et al..Recognition using regions [C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR,2009: 1030-1037.
[5] [5] KUMAR M P, TORR P H S, ZISSERMAN A. OBJCUT: Efficient segmentation using top-down and bottom-up cues[C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2005: 18-25.
[6] [6] LEIBE B, SCHIELE B. Interleaved object categorization and segmentation[C]. British Machine Vision Conference, BMVC,2003: 264-271.
[7] [7] FULKERSON B, VEDALDI A, SOATTO S. Class segmentation and object localization with superpixel neighborhoods [C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2009: 670-677.
[8] [8] ALEXE B, DESELARES T, FERRARI V. What is an object [C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2010: 73-80.
[9] [9] ACHANTA R, HEMAMI S, ESTRADA F,et al..Frequency-tuned salient region detection[C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2009: 1597-1604.
[10] [10] HOU X, ZHANG L. Saliency detection: a spectral residual approach[C]. IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2007: 1-8.
[11] [11] EVERINGHAM M, Van Gool L, WILLIAMS C K I,et al.. The PASCAL Visual Object Classes Challenge 2006[R].2006.
[12] [12] SHOTTON J, JOHNSON M,CIPOLLA R.Semantic texton forests for image categorization and segmentation [C] . IEEE Conference on Computer Vision and Pattern Recognition, CVPR,2009: 1-8.
[13] [13] FELZENSZWALB P F, GIRSHICK R B, MCALLESTER D, et al.. Object detection with discriminatively trained part based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI,2010: 1627-1645.
[14] [14] SHOTTON J, WINN J, ROTHER C, CRIMINISI A. Textonboost for im-age understanding: Multi-class object recognition and segmentation by jointly modeling texture[J]. International Journal of Computer Vision, IJCV, 2007: 2-23.
[15] [15] VERBEEK J, TRIGGS B. Region classification with markov field aspect models [C]. IEEE Conference on Computer Vision and Pattern Recognition,CVPR, 2007.
[16] [16] EVERINGHAM M, VAN GOOL L, WILLIAMS C,et al.. Zisser-man. The PASCAL Visual Object Classes Challenge 2007[R].2007.
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SONG Xiu-rui, WU Zhi-yong. Unsupervised detection of image object with any class[J]. Optics and Precision Engineering, 2014, 22(1): 160
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Received: Feb. 11, 2013
Accepted: --
Published Online: Feb. 18, 2014
The Author Email: Xiu-rui SONG (temp2013@163.com)