Multi-mode Solid Model Retrieval Based on Partial Matching

In this paper, a multi-mode retrieval approach of solid models is presented. First, a local feature determination method based on wavelet transform is given, which makes the local feature agree with the human perception of resemblance; then a uniform and efficient DBMS (dilation based multiresolutional skeleton) generation method for global model and local feature using adaptive voxelization and local dilation is proposed; finally a flexible similarity assessment is proposed which supports both global matching and partial matching effectively and further supports different retrieval requires. Preliminary experiment results show that a multi-mode retrieval approach can describe user´s retrieval intent more precisely and return retrieval results more properly.