Abstract: This paper centers on the research of the artwork recognition and classification algorithm based on computer vision. During the research process, first, a vast image dataset of artworks ...

Abstract: Emotional expression and interaction are fundamental aspects of daily life. Understanding emotions not only improves communication but also offers significant potential for medical ...

Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...

Abstract: This paper compares standard artificial neural networks (ANNs) and convolutional neural networks (CNNs) for automatically identifying facial nerve paralysis using a special set of images.

Abstract: Face normalization aims to enhance the robustness and effectiveness of face recognition systems by mitigating intra-personal variations in expressions, poses, occlusions, illuminations, and ...

Abstract: This study aims to enhance the accuracy and robustness of equipment image recognition in the complex environments of substations by proposing a multimodal image fusion recognition algorithm ...

Abstract: Convolutional neural networks (CNNs) can automatically learn data patterns to express face images for facial expression recognition (FER). However, they may ignore effect of facial ...

Denver, Colorado-headquartered ROC filed papers with the U.S. Securities and Exchange Commission on Wednesday to list on the Nasdaq exchange for public trading in an initial public offering seeking ...

This city’s new mayor-elect prays many times a day, for big things and small ones and often, she says, to a holy guardian known for helping defy lost causes. “My favorite patron saint is St. Jude,” ...

Honduras on Sunday will hold general elections marked by preemptive allegations of voting fraud and an intervention by the United States. The presidential race has been clouded by uncertainty. Out of ...