Search Results for author: Yen-Chang Huang

Found 6 papers, 1 papers with code

Efficient Neural Network Approaches for Leather Defect Classification

no code implementations15 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.

Classification Edge Detection +2

Automatic Defect Segmentation on Leather with Deep Learning

no code implementations28 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.

Defect Detection Specificity

Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition

1 code implementation10 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

Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning

no code implementations15 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.

Semantic Segmentation

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