From BoW to CNN: Two Decades of Texture Representation for Texture Classification

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.

Attribute General Classification +1

Analyzing the Affect of a Group of People Using Multi-modal Framework

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.

Emotion Recognition

Spontaneous Facial Micro-Expression Recognition using Discriminative Spatiotemporal Local Binary Pattern with an Improved Integral Projection

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.

Attribute feature selection +2

LOAD: Local Orientation Adaptive Descriptor for Texture and Material Classification

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.

General Classification Material Classification +2

Remote Heart Rate Measurement From Face Videos Under Realistic Situations

no code implementations • CVPR 2014 • Xiaobai Li, Jie Chen, Guoying Zhao, Matti Pietikainen

Heart rate is an important indicator of people's physiological state.