
Daniel Cyrus
Postgraduate Research Student
Academic and research departments
Department of Computer Science, Faculty of Engineering and Physical Sciences.About
My research project
Logic visionI'm working on an exciting research project related to One-shot Learning in domain of medical Images. Beside the project, I have some fancy development with logic and vision for robots.
Supervisors
I'm working on an exciting research project related to One-shot Learning in domain of medical Images. Beside the project, I have some fancy development with logic and vision for robots.
Publications
Daniel Cyrus, David Hunter, Jungong Han (2022) Deep Structural Estimation for Non-Linear Distortion Correction
We propose a practical novel method to correct non-linear distortions in videos and single images, which we train a convolutional neural network (CNN) to recognize multiple distortions by estimating image structure. We first employed a VGG16 model to extract features to retain substantial pixels from input images. We designed a CNN, trained by annotated dataset to predict a window frame that visually defined the distortion. A drawing model uses network outputs to generate a grid fitting the window frame. The grid deforms to the corrected sample to render the final image. We use headless rendering mode to enhance correction speed and efficiency. Finally, the experimental results demonstrate that our algorithm outperforms other methods on both time assumption and accuracy.