M2-T Deep Learning for Point Cloud Denoising (renamed: 3D Point Cloud Denoising and Compression using Deep Learning)

PI: Zhu Li

Enable efficient 3D sensing and information sharing for auto-driving and smart city with 3D point cloud denoising and end-to-end compression using deep learning architectures. We would explore deep learning architecture for point cloud processing. We formulate a multi-scale CNN based 3d point cloud feature extraction technique.