no code implementations • 15 Jun 2019 • Sze-Teng Liong, Y. S. Gan, Kun-Hong Liu, Tran Quang Binh, Cong Tue Le, Chien An Wu, Cheng-Yan Yang, Yen-Chang Huang
Genuine leather, such as the hides of cows, crocodiles, lizards and goats usually contain natural and artificial defects, like holes, fly bites, tick marks, veining, cuts, wrinkles and others.
no code implementations • 28 May 2019 • Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang, Kun-Hong Liu, Wei-Chuen Yau
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture.
no code implementations • 3 Apr 2019 • Sze-Teng Liong, Y. S. Gan, Danna Zheng, Shu-Meng Lic, Hao-Xuan Xua, Han-Zhe Zhang, Ran-Ke Lyu, Kun-Hong Liu
In this paper, we first review the processes of a conventional optical-flow-based recognition system, which comprised of facial landmarks annotations, optical flow guided images computation, features extraction and emotion class categorization.
Facial Expression Recognition Micro Expression Recognition +2
no code implementations • 28 Mar 2019 • Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang, Chang-Ann Yuan, Hsiu-Chi Chang
Then, a series of processes are conducted to predict the defect instances, including elicitation of the leather images with a robot arm, train and test the images using a deep learning architecture and determination of the boundary of the defects using mathematical derivation of the geometry.
1 code implementation • 10 Feb 2019 • Sze-Teng Liong, Y. S. Gan, John See, Huai-Qian Khor, Yen-Chang Huang
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks.
Micro Expression Recognition Micro-Expression Recognition +1
no code implementations • 15 Jan 2019 • Y. S. Gan, Sze-Teng Liong, Yen-Chang Huang
This paper presents novel methods to predict the surface and volume of the ham through a camera.
no code implementations • 10 May 2018 • Sze-Teng Liong, Y. S. Gan, Wei-Chuen Yau, Yen-Chang Huang, Tan Lit Ken
A new feature descriptor, Optical Flow Features from Apex frame Network (OFF-ApexNet) is introduced.
Micro Expression Recognition Micro-Expression Recognition +1