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This paper discusses the automatic detection of mura, which has been a long‐standing challenge in the display industries. Using a dataset of 8000 images of OLED (Organic Light Emitting Diode) displays including four different types of mura, we found that a CNN (Convolutional Neural Network) having four or five sets of convolution and max‐pooling layers can detect mura with the accuracy more than 0...
In this paper, we propose a novel 3D feature point detection algorithm using Multiresolution Surface Variation (MSV). The proposed algorithm is used to extract 3D features from a cluttered, unstructured environment for use in realtime Simultaneous Localisation and Mapping (SLAM) algorithms running on a mobile robot. The salient feature of the proposed method is that, it can not only handle dense,...
So far, most of the facial recognition methods focus on visual image texture and color information. Although they have worked well, most of them still fail to deal with severe illumination changes. In this paper, a novel approach is proposed for facial verification by analyzing thermal data from different organs of the human face. This new thermal facial pattern is free from illumination changes and...
Typical facial expression recognition system in computer vision field usually learns and translates facial behaviors into emotional states directly based on the training data. Since our face are not limited by a small number of class labels. In order to explain more complex facial expressions, we proposed a novel action unit (AU) detector following the Ekman's Facial Action Coding System (FACS). Our...
In this paper, the Gabor filter is studied and further expanded for temporal facial expression analysis. Originally, the Gabor feature describes both spatial and frequency characteristics of 2D images. The prominent of the theorem has been validated in research communities for a decade due to its similarity to the human perception system. The performance of the filter in the existing research gives...
Eye tracking is a computer vision technique widely used in many fields especially in a medical field. This paper introduced the new eye tracking method based on gradient orientation pattern matching and automatic template update technique. This proposed method can be implemented in real-time application and can provide high robustness to changing lighting condition during tracking process.
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