High Level Visualization , Representation , Understanding , and Recognition of 3 D Articulated Objects byProfessor

This chapter deals with state-of-the-art novel ideas in high level visualization, understanding and interpretation of line-drawing images of 3D articulated objects. A new structural strategy using linear combination and fast two-pass parallel matching techniques is presented, which is aimed at learning, representing, visualizing, and interpreting line drawings as 3D objects, with only very few learning samples. It solves one of the basic concerns in diiusion tomography complexities, i.e. patterns can be reconstructed through fewer projections, and 3D objects can be recognized by a few learning samples views. It can also strengthen advantages of current key methods while overcome their drawbacks. Furthermore, it will be able to distinguish objects with very similar patterns and is more accurate than other methods in the literature. Several illustrative examples are demonstrated, including learning, recognizing, visualization and interpretation of 3D line drawing polyhedral objects. Finally, future research topics are outlined.