A double tomographic approach to the estimation and classification of single objects
Roberto Cusani, G. Jacovitti · International Conference on Acoustics, Speech, and Signal Processing · 2003
The problem of recognizing and locating isolated objects from their images is addressed, and a complete procedure is described. The technique is based on a template matching in the log-polar amplitude spectrum domain and in the space domain. This makes it possible to take properly into account both spectral features and spatial details and to measure with accuracy the scale factor, the orientation, and the absolute position of the object. To reduce the computational burden, pairs of tomographic projections are used in both domains. As an example, the double tomographic method is applied to the classical problem of the automatic reading of printed characters, with the additional specification of unknown size and orientation, and shows good results.>