3D Imaging

3D imaging research focuses on developing accurate and efficient methods for capturing and reconstructing three-dimensional representations of objects and scenes, addressing challenges such as imaging specular surfaces and handling noisy data from various sources. Current efforts involve integrating data from multiple modalities (e.g., optical, radar, electrical impedance), employing advanced algorithms like deep learning (including 3D CNNs and diffusion models) and physics-inspired neural networks for image reconstruction and analysis, and developing robust evaluation frameworks for 3D saliency methods. These advancements have significant implications across diverse fields, including medical imaging (e.g., improved diagnosis and surgical guidance), industrial inspection, and autonomous driving, by enabling more precise and informative data acquisition and analysis.