Affine invariant features from the trace transform

The trace transform is a generalization of the Radon transform that allows one to construct image features that are invariant to a chosen group of image transformations. In this paper, we propose a methodology and appropriate functionals that can be computed from the image function and which can be used to calculate features invariant to the group of affine transforms. We demonstrate the usefulness of the constructed image descriptors in retrieving images from an image database and compare it with relevant state-of-the-art object retrieval methods.

[1]  Hans Burkhardt,et al.  Fast Invariant Feature Extraction for Image Retrieval , 1999, State-of-the-Art in Content-Based Image and Video Retrieval.

[2]  Jan Flusser,et al.  Pattern recognition by affine moment invariants , 1993, Pattern Recognit..

[3]  Luc Van Gool,et al.  Wide Baseline Stereo Matching based on Local, Affinely Invariant Regions , 2000, BMVC.

[4]  Thomas H. Reiss,et al.  Recognizing Planar Objects Using Invariant Image Features , 1993, Lecture Notes in Computer Science.

[5]  Jan Flusser,et al.  Affine moment invariants: a new tool for character recognition , 1994, Pattern Recognit. Lett..

[6]  Hans-Peter Kriegel,et al.  State-of-the-Art in Content-Based Image and Video Retrieval , 2001, Computational Imaging and Vision.

[7]  Alexander Kadyrov,et al.  The Trace Transform and Its Applications , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Jan Flusser,et al.  A moment-based approach to registration of images with affine geometric distortion , 1994, IEEE Trans. Geosci. Remote. Sens..

[9]  Jezekiel Ben-Arie,et al.  Pictorial Recognition of Objects Employing Affine Invariance in the Frequency Domain , 1998, IEEE Trans. Pattern Anal. Mach. Intell..