Non-rigid Object Recognition Using Multidimensional Index Geometric Hashing

摘要

A novel approach was proposed to recognize the non-rigid 3D objects from their corresponding 2D images by combining the benefits of the principal component analysis and the geometric hashing. For all of the object models to be recog- nized, we calculated the statistical point features of the training shapes using principal component analysis. The results of the analysis were a vector of eigenvalues and a matrix of eigenvectors. We calculated invariants of the new shapes that undergone a sim- ilarity transformation. Then added these invariants and the label of the model to the model database.