no code implementations • 31 Jan 2018 • Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikainen
Texture is a fundamental characteristic of many types of images, and texture representation is one of the essential and challenging problems in computer vision and pattern recognition which has attracted extensive research attention.
no code implementations • 12 Oct 2016 • Xiaohua Huang, Abhinav Dhall, Xin Liu, Guoying Zhao, Jingang Shi, Roland Goecke, Matti Pietikainen
We fuse face, upperbody and scene information for robustness of GER against the challenging environments.
no code implementations • 7 Aug 2016 • Xiaohua Huang, Su-Jing Wang, Xin Liu, Guoying Zhao, Xiaoyi Feng, Matti Pietikainen
For increasing the discrimination of micro-expressions, we propose a new feature selection based on Laplacian method to extract the discriminative information for facial micro-expression recognition.
no code implementations • 22 Apr 2015 • Xianbiao Qi, Guoying Zhao, Linlin Shen, Qingquan Li, Matti Pietikainen
It is worth to mention that we achieve a 65. 4\% classification accuracy-- which is, to the best of our knowledge, the highest record by far --on Flickr Material Database by using a single feature.
no code implementations • CVPR 2014 • Xiaobai Li, Jie Chen, Guoying Zhao, Matti Pietikainen
Heart rate is an important indicator of people's physiological state.