D Yang, B Peng, Z Al-Huda, A Malik, D Zhai - Neurocomputing, 2022 - Elsevier
In computer vision, edge and object contour detection is essential for higher-level vision tasks, such as shape matching, visual salience, image segmentation, and object recognition …
Automatic affect analysis has attracted great interest in various contexts including the recognition of action units and basic or non-basic emotions. In spite of major efforts, there …
Information fusion is a key step in multimodal biometric systems. The fusion of information can occur at different levels of a recognition system, ie, at the feature level, matching-score …
In biometric identification systems, the biometric database is typically stored in a trusted server, which is also responsible for performing the identification process. However, a …
S Wan, Y Xia, L Qi, YH Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, we propose a fully automatic image colorization method for grayscale images using neural network and optimization. For a determined training set including the gray …
F Han, H Wang, G Zhang, H Han, B Song, L Li… - Journal of digital …, 2015 - Springer
Differentiation of malignant and benign pulmonary nodules is of paramount clinical importance. Texture features of pulmonary nodules in CT images reflect a powerful …
G Papari, N Petkov - Image and Vision Computing, 2011 - Elsevier
We present an overview of various edge and line oriented approaches to contour detection that have been proposed in the last two decades. By edge and line oriented we mean …
Single sample face recognition have become an important problem because of the limitations on the availability of gallery images. In many real-world applications such as …
Background modeling has emerged as a popular foreground detection technique for various applications in video surveillance. Background modeling methods have become increasing …