The poses of 3D object in different viewpoints are different

so the 2D digital images in different viewpoints are different. Therefore

the 3D object recognition is difficult. In this paper

the approach to recognize 3D moving object by image sequence and the transition relationship of the images in terms of the principle of "the winner is the king" is produced. Polar-exponential grid technique maps the image in Cartesian coordinate into polar-log coordinate. The profile of object in polar-log coordinate has translation

rotation and scale invariant by Fourier transform and it can be used as invariant to recognize object. In this paper

the profile invariant is obtained by polar-exponential grid technique and Fourier transform

and 3D moving object is recognized by neural network and aspect graphs. An object recognition system is carried out. The experimental results show that this method is effective to recognize 3D moving object.