Tag: Histogram features

Abstract: In the computer vision literature, many effective histogram-based features have been developed. These engineered features include local binary patterns and edge histogram descriptors among others and they have been shown to be informative features for a variety of computer vision tasks. In this paper, we explore whether these features can be learned through histogram […]

Congratulations to Dr. Spencer Chang for successfully passing his PhD dissertation exam! Dr. Chang’s research demonstrated the potential of combining learnable histogram features with deep learning convolutional methods. Additionally, he delivered key insights into enhancing statistical texture feature learning and explored the nuances of embedding histogram layers to maximize their impact within feature extraction pipelines. […]