The research addresses several problems in the process of reconstructing
surfaces from multiple range images. The first is smoothing the raw surfaces scanned by
the range scanners. The second is finding registration between pairs of range images. In the
third step, surface mesh is reconstructed by integrating range images from different views.
Segmentation is the last step that partitions the 3D mesh into meaningful parts.
The techniques developed in this research include:
- Surface smoothing by area decreasing flow.
- Surface registration by a point's fingerprint matching.
- Surface reconstruction using implicit surface-based method.
- Mesh segmentation based on 3D watershed.
The proposed algorithms can be applied in various applications including reverse engineering,
scene building and understanding, virtual reality, and object recognition.