ESC-Net: Alleviating Triple Sparsity on 3D LiDAR Point Clouds for Extreme Sparse Scene Completion.
Pei AnDi ZhuSiwen QuanJunfeng DingJie MaYou YangQiong LiuPublished in: IEEE Trans. Multim. (2024)
Keyphrases
- point cloud
- laser scanner
- stereo camera
- sparse representation
- architectural scenes
- high dimensional
- dominant plane
- structure from motion
- surface reconstruction
- multi view stereo
- cad model
- d scene
- lidar data
- point sets
- point cloud data
- video sequences
- single image
- multiple images
- sparse reconstruction
- normal vectors
- moving objects
- three dimensional
- compressive sensing
- computer vision
- stereo reconstruction
- image processing
- dimensionality reduction
- nearest neighbor
- viewpoint
- machine learning