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Mahotas: Open source software for scriptable computer vision
Mahotas is a computer vision library for Python. It contains traditional...
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scikit-image: Image processing in Python
scikit-image is an image processing library that implements algorithms a...
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Learning Grimaces by Watching TV
Differently from computer vision systems which require explicit supervis...
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EmotioNet Challenge: Recognition of facial expressions of emotion in the wild
This paper details the methodology and results of the EmotioNet challeng...
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Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
This work presents Kornia -- an open source computer vision library whic...
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A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
This work presents Kornia, an open source computer vision library built ...
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Do Facial Expressions Predict Ad Sharing? A Large-Scale Observational Study
People often share news and information with their social connections, b...
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Emotion Detection using Image Processing in Python
In this work, user's emotion using its facial expressions will be detected. These expressions can be derived from the live feed via system's camera or any pre-exisiting image available in the memory. Emotions possessed by humans can be recognized and has a vast scope of study in the computer vision industry upon which several researches have already been done. The work has been implemented using Python (2.7, Open Source Computer Vision Library (OpenCV) and NumPy. The scanned image(testing dataset) is being compared to the training dataset and thus emotion is predicted. The objective of this paper is to develop a system which can analyze the image and predict the expression of the person. The study proves that this procedure is workable and produces valid results.
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