This paper describes an efficient approach to pose invariant object recognition employing pictorial recognition of image patches. A complete affine invariance is achieved by a representation which is based on a new sampling configuration in the frequency domain. The proposed log-log configuration can be employed both globally or locally by a Gabor or Fourier transforms.
Local representation enables to recognize separately several objects in the same image.
The actual signature recognition is performed by multi-dimensional indexing in a pictorial dataset represented in the frequency domain. The recognition also provides 3D pose information. Inc. All rights reserved.