37 citations · 61 across the 4 of their papers we have counts for
5 papers
Efficient Neural Network Approaches for Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Kun-Hong Liu +5
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…
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture. It is commonly used as a raw material to manufacture luxury consumer goods f…
Automatic Defect Segmentation on Leather with Deep Learning
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2
Leather is a natural and durable material created through a process of tanning of hides and skins of animals. The price of the leather is subjective as it is highly sensitive to it…
Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
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. This implies that the conventional weight measurement to obtain in the object's vol…
OFF-ApexNet on Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Wei-Chuen Yau +2
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relativ…