Face Detection Based on Multi-Block LBP Representation

By Lun Zhang, Rufeng Chu, Shiming Xiang, Shengcai Liao, S. Li. International Conference on Biometrics, 2007

445 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/0501cc51289313059db2bffe3b57b3271188a0dd

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In Computer Vision and Pattern Recognition

Citations in the corpus

A survey on face detection in the wild: Past, present and future (2015, methodology): “In [71] [72] , LBP were applied for face detection tasks under a Bayesian and a boosting framework, respectively.”
Scale-Aware Face Detection (2017, background): “Many works have been proposed to improve the Viola-Jones framework and achieves further improvements, such as local features [41, 20, 36], boosting algorithms [40, 21, 11], cascade structure [2] and multi-pose [22, 17, 12].”
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking (2015, background): “In contrast to hand-crafted features, e.g. , Haar (Viola and Jones, 2004), HOG (Dalal and Triggs, 2005), and MB-LBP (Zhang et al., 2007), data-driven hierarchical features ( e.g. , CNN features (Krizhevsky et al., 2012)) have recently been shown to be e ﬀ ective in numerous vision tasks.”
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics (2011, unknown): “, [29], [51]) use short binary strings to encode properties of the local micro-texture around each pixel.”
A Survey of Recent Advances in Face Detection (2010, methodology): “In [37, 119], LBP was applied for face detection tasks under a Bayesian and a boosting framework, respectively.”
Local Transform Features and Hybridization for Accurate Face and Human Detection (2013, background): “Index Terms—Local binary pattern, local gradient pattern, binary histograms of oriented gradients, feature hybridization, face and human detection Ç”
Local Binary Patterns and Its Application to Facial Image Analysis: A Survey (2011, unknown): “AdaBoost has been widely adopted for LBP feature selection in various tasks [18] [”
Face recognition with learning-based descriptor (2010, background): “Since LBP is encoded by a handcrafted design, many LBP varieties [21, 30, 33] have been proposed to improve the original LBP.”