Wide Angle

Wide-angle imaging encompasses techniques for capturing and processing images with a significantly broader field of view than conventional lenses, addressing the need for comprehensive scene coverage in various applications. Current research focuses on mitigating the inherent distortions of wide-angle lenses through novel model architectures like Swin Transformers and U-Nets, often incorporating radial distortion profiles for improved accuracy in tasks such as object detection, depth estimation, and image fusion. These advancements are crucial for improving the performance of autonomous vehicles, robotics, and other systems relying on accurate scene perception, as well as enabling new possibilities in areas like virtual reality and remote monitoring.