Volumetric Fusion

Volumetric fusion integrates multiple 3D data sources, such as depth maps and point clouds, to create a comprehensive and accurate 3D model of a scene. Current research emphasizes efficient and robust fusion algorithms, often incorporating neural implicit representations (like voxel-based or Gaussian splatting) within frameworks that leverage techniques such as octrees, quadtrees, and attention mechanisms to manage data complexity and improve real-time performance. This work is significant for advancing applications in robotics, augmented reality, and virtual reality, enabling more accurate scene understanding and improved human-computer interaction in dynamic environments.