3D artificial objects recognition under virtual environment

Presents a method for visualization, understanding and recognition of artificial objects. The method using linear combination is simple and needs only a few learning samples. Furthermore, it can strengthen the advantages of conventional methods while overcoming their drawbacks. Also, it is able to distinguish objects with very similar patterns and is more accurate than other conventional methods in the literature. Four experiments are included to demonstrate the method's simplicity and accuracy.