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Found 10 papers, 2 papers with code
Dual-stream shallow networks for facial micro-expression recognition
Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes underlying emotions.
Efficient Neural Network Approaches for Leather Defect Classification
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.
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture.
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System
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
Automatic Defect Segmentation on Leather with Deep Learning
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.
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
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
This paper presents novel methods to predict the surface and volume of the ham through a camera.
OFF-ApexNet on Micro-expression Recognition System
A new feature descriptor, Optical Flow Features from Apex frame Network (OFF-ApexNet) is introduced.
Micro Expression Recognition
Micro-Expression Recognition
+1
Spontaneous Subtle Expression Detection and Recognition based on Facial Strain
In this paper, we present a novel method for detecting and recognizing micro-expressions by utilizing facial optical strain magnitudes to construct optical strain features and optical strain weighted features.
Less is More: Micro-expression Recognition from Video using Apex Frame
The apex frame of a video contains the highest intensity of expression changes among all frames, while the onset is the perfect choice of a reference frame with neutral expression.
Micro Expression Recognition
Micro-Expression Recognition
+1
