A method for image analysis, based on the formalism of functional analysis, is proposed. This approach, which is employed for pattern recognition in the combined position-orientation space, is motivated by a variety of neurophysiological findings that emphasize the importance of the orientation feature in visual image processing and analysis. The approach is applied to the so-called “Glass patterns”, which are special cases of images characterized uniquely by their orientational feature of local correlations between pairs of corresponding dots. The approach can be of interest in the analysis of optical flow.
|Number of pages||6|
|Journal||IEEE Transactions on Pattern Analysis and Machine Intelligence|
|State||Published - Nov 1992|