Multiple Camera

Multiple camera systems are revolutionizing computer vision by leveraging diverse perspectives to overcome limitations of single-camera setups. Current research focuses on improving accuracy and efficiency in applications like 3D scene reconstruction, object tracking across multiple views (often employing graph-based methods or deep learning models), and robust human pose estimation. These advancements are significantly impacting fields such as autonomous driving, surveillance, robotics, and medical imaging, enabling more accurate, reliable, and context-rich analysis of complex visual data.