Point Cloud Compression
Advanced algorithms for efficient point cloud compression and encoding, optimizing data extraction and storage.
Theoretical Analysis
Study manifold learning and differential geometry to develop a mathematical model for point cloud compression.
Algorithm Design
Create innovative algorithms focusing on feature extraction and enhancing the data compression process effectively.
Utilize public datasets to validate algorithm performance, measuring compression ratios and overall efficiency.
Experimental Validation
Point Cloud
Innovative compression algorithms for efficient point cloud processing.
Theoretical Analysis
Study of manifold learning and curvature for compression.
Algorithm Design
Developing optimized point cloud encoding and extraction methods.
Experimental Validation
Testing algorithms with datasets like KITTI and ShapeNet.
Performance Evaluation
Assessing compression ratios and algorithm effectiveness.