The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
We develop a new edge detection algorithm, holistically-nested edge detection (HED), which performs image-to-image prediction by means of a deep learning model that leverages fully convolutional ...
Abstract: This study introduces an integrated convolutional mask method for enhancing edge detection in digital images by combining the linear homotopy parametric value (LHP) with classical edge ...
Abstract: In practical fuzzy applications, such as image processing, the utilization of precise models in hardware may not be the most efficient approach due to increased energy consumption and chip ...
@article{liu2019richer, title={Richer Convolutional Features for Edge Detection}, author={Liu, Yun and Cheng, Ming-Ming and Hu, Xiaowei and Bian, Jia-Wang and Zhang, Le and Bai, Xiang and Tang, Jinhui ...
Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to ...
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