Face detection using improved LBP under Bayesian framework
By Hongliang Jin, Qingshan Liu, Hanqing Lu, Xiaofeng Tong. International Conference on Image and Graphics, 2004
391 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/75ad5d0470036dc1e187ccd893aa9004b678e642
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Xiaogang Wang
- Luc Van Gool
- Li Liu
- Dacheng Tao
- Paul W. Fieguth
- Andrew Zisserman
- Xiaoou Tang
- Andrea Vedaldi
Citations in the corpus
- 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 binary features for texture classification: Taxonomy and experimental study (2017, methodology): “The Improved Local Ternary Pattern (ILTP) [10] combines ILBP and LTP in that the LTP code is split into positive and negative ILBP codes.”
- Local Binary Patterns and Its Application to Facial Image Analysis: A Survey (2011, neutral): “2004 [17], 2005 [48] 2008 [49] Hamming LBP Incorporate non-uniform patterns into uniform patterns 2007 [50] Extended LBP Discriminate the same local binary patterns; cause high dimensionality.”
- 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 variants as texture descriptors for medical image analysis (2010, background): “ILBP, the improved local binary pattern [18,19] with P = 18.”
- 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.”