An automatic multi-view point cloud merging algorithm for structure light measure system was presented. Firstly, an improved region identification integrated with least-squares algorithm was used to compute the center of the reference point accurately, and the 3D coordinate of the reference point was ascertained through the theory of machine vision. Then, based on the invariability of spatial character, a rapid reference point matching algorithm was put forward to acquire the corresponding relationship between the reference points with different visual angles. Lastly, the rotation matrix and translation matrix were computed by quaternion decompose algorithm to carry out the automatic multi-view point cloud merging algorithm. The result of the experiments shows the validity and great practicability of the algorithm.

Every node has its neighbors in ad hoc networks. Making use of the information of neighbors, the routing protocol can be optimized observably. In this paper, a new Ad Hoc routing protocol named NA-AODV based on AODV is proposed. Taking advantage of neighbors, NA-AODV enable the routing nodes to repair the broken route quickly. The simulation analysis indicates that the throughput and end-to-end delay of NA-AODV are much better than that of AODV.