Viewpoint space partitioning based on affine invariant features
Fengting Li · Journal of Tsinghua University(Science and Technology) · 2009
The viewpoint space of 3-D objects,such as aircraft,automobiles,and humans is partitioned using three affine invariant features based on a multi-scale autoconvolution,a trace transform,and the Zernike moment to express the 3-D objects within minimum two-dimensional projective images.The images are then nonuniformly projected for object recognition to simplify the 3-D recognition process and increase the recognition rate of 3-D objects.The paper presents an affine invariant feature extraction strategy for different 3-D objects that can recognize arbitrary postures of the 3-D object.Tests with models from the Princeton shape benchmark show that the good recognition effect can be achieved by the proposed method and the recognition rate is great than 90%.