[1] |
Viola P, Jones M J. Robust real-time face detection[J]. International Journal of Computer Vision, 2004, 57(2): 137-154.
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[2] |
Ali K, Fleuret F, Hasler D, et al. A real-time deformable detector[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(2): 225-239.
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[3] |
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, 2010, 32(9): 1627-1645.
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[4] |
Felzenszwalb P F, Girshick R B, McAllester D. Cascade object detection with deformable part models[C]// IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, USA: IEEE Press, 2010: 2241-2248.
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[5] |
LIF F, Fergus R, Perona P. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories[J]. Computer Vision and Image Understanding, 2007, 106(1): 59-70.
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[6] |
贾平, 徐宁, 张叶. 基于局部特征提取的目标自动识别[J]. 光学精密工程, 2013, 21(7): 1898-1905.Jia P, Xu N, Zhang Y. Automatic target recognition based on local feature extraction[J]. Optics and Precision Engineering, 2013, 21(7): 1898-1905.
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[7] |
Chen Y Y, Hsu W H, Liao H Y M.Discovering informative social subgraphs and predicting pairwise relationships from group photos[C]// Proceedings of the 20th ACM International Conference on Multimedia. Nara, Japan: ACM Press, 2012: 669-678.
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[8] |
Gallagher A C, Chen T. Understanding images of groups of people[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE Press, 2009: 256-263.
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[9] |
Harris C, Stephens M. A combined corner and edge detector[C]// Proceedings of the 4th Alvey Vision Conference. Manchester, UK: ACM Press, 1988: 147-151.
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[10] |
Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International journal of Computer Vision, 2004, 60(2): 91-110.
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[11] |
Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
|
[12] |
李平, 魏仲慧, 何昕, 等. 采用多形状特征融合的多视点目标识别[J]. 光学精密工程, 2014, 22(12): 3368-3376.Li P, Wei Z H, He X, et al. Object recognition based on shape feature fusion under multi-views[J]. Optics and Precision Engineering, 2014, 22(12): 3368-3376.
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[13] |
Forsyth D A, Ponce J. Computer Vision: A Modern Approach [M]. 2ed, New Jersey: Prentice Hall, 2002.
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[14] |
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// IEEE Conference on Computer Vision and Pattern Recognition. San Diego, USA: IEEE Press, 2005: 886-893.
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[15] |
Chang C C, Lin C J. LIBSVM: A library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3):389-396.
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[16] |
Hough P V C. Method and means for recognizing complex patterns, U.S. Patent, 3069654[P]. 1962.
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[17] |
Van de Sande K E A, Uijlings J R R, Gevers T, et al. Segmentation as selective search for object recognition[C]// IEEE International Conference on Computer Vision. Barcelona, Spanish: IEEE Press, 2011: 1879-1886.)
|
[1] |
Viola P, Jones M J. Robust real-time face detection[J]. International Journal of Computer Vision, 2004, 57(2): 137-154.
|
[2] |
Ali K, Fleuret F, Hasler D, et al. A real-time deformable detector[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(2): 225-239.
|
[3] |
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, 2010, 32(9): 1627-1645.
|
[4] |
Felzenszwalb P F, Girshick R B, McAllester D. Cascade object detection with deformable part models[C]// IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, USA: IEEE Press, 2010: 2241-2248.
|
[5] |
LIF F, Fergus R, Perona P. Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories[J]. Computer Vision and Image Understanding, 2007, 106(1): 59-70.
|
[6] |
贾平, 徐宁, 张叶. 基于局部特征提取的目标自动识别[J]. 光学精密工程, 2013, 21(7): 1898-1905.Jia P, Xu N, Zhang Y. Automatic target recognition based on local feature extraction[J]. Optics and Precision Engineering, 2013, 21(7): 1898-1905.
|
[7] |
Chen Y Y, Hsu W H, Liao H Y M.Discovering informative social subgraphs and predicting pairwise relationships from group photos[C]// Proceedings of the 20th ACM International Conference on Multimedia. Nara, Japan: ACM Press, 2012: 669-678.
|
[8] |
Gallagher A C, Chen T. Understanding images of groups of people[C]// IEEE Conference on Computer Vision and Pattern Recognition. Miami, USA: IEEE Press, 2009: 256-263.
|
[9] |
Harris C, Stephens M. A combined corner and edge detector[C]// Proceedings of the 4th Alvey Vision Conference. Manchester, UK: ACM Press, 1988: 147-151.
|
[10] |
Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International journal of Computer Vision, 2004, 60(2): 91-110.
|
[11] |
Bay H, Ess A, Tuytelaars T, et al. Speeded-up robust features (SURF)[J]. Computer Vision and Image Understanding, 2008, 110(3): 346-359.
|
[12] |
李平, 魏仲慧, 何昕, 等. 采用多形状特征融合的多视点目标识别[J]. 光学精密工程, 2014, 22(12): 3368-3376.Li P, Wei Z H, He X, et al. Object recognition based on shape feature fusion under multi-views[J]. Optics and Precision Engineering, 2014, 22(12): 3368-3376.
|
[13] |
Forsyth D A, Ponce J. Computer Vision: A Modern Approach [M]. 2ed, New Jersey: Prentice Hall, 2002.
|
[14] |
Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]// IEEE Conference on Computer Vision and Pattern Recognition. San Diego, USA: IEEE Press, 2005: 886-893.
|
[15] |
Chang C C, Lin C J. LIBSVM: A library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3):389-396.
|
[16] |
Hough P V C. Method and means for recognizing complex patterns, U.S. Patent, 3069654[P]. 1962.
|
[17] |
Van de Sande K E A, Uijlings J R R, Gevers T, et al. Segmentation as selective search for object recognition[C]// IEEE International Conference on Computer Vision. Barcelona, Spanish: IEEE Press, 2011: 1879-1886.)
|