A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition

By Yang Bai, Lihua Guo, Lianwen Jin, Qinghua Huang. 2009

163 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing

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

1. Ling Shao
2. Li Liu
3. Xuelong Li
4. Dacheng Tao
5. Jianbing Shen
6. Wenguan Wang
7. Luc Van Gool
8. Tao A. Xiang

In Human-Computer Interaction

1. Ling Shao
2. Li Liu
3. Xuelong Li

In Signal Processing

1. Ling Shao
2. Li Liu
3. Xuelong Li

Citations in the corpus

• Feature Learning for Image Classification Via Multiobjective Genetic Programming (2014, background): “Commonly, the choice of functions is based on the following principles: 1) the set must contain functions, which can extract meaningful information; 2) to minimize the total running time of the MOGP, all the operators in the function set need to be relatively simple and efficient.”
• Online Action Recognition via Nonparametric Incremental Learning (2014, unknown): “We therefore extracted two-level pyramidal HOG (PHOG) features using 32 bins.”