Spherical Camera
Spherical cameras, capturing a 360° view, are revolutionizing image acquisition and analysis. Current research focuses on improving 3D scene reconstruction from spherical images, often employing techniques like Structure from Motion (SfM) and incorporating machine learning models such as Graph Neural Networks for tasks like pose estimation and depth map generation. These advancements are driving progress in diverse applications, including robotics, virtual reality, and autonomous navigation, by enabling more accurate and comprehensive environmental understanding. The development of novel sensor designs, like lensless spherical cameras, further expands the potential of this technology.
Papers
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