EARLY ORIENTATION SELECTION - TANGENT FIELDS AND THE DIMENSIONALITY OF THEIR SUPPORT

作     者：ZUCKER, SW 

作者机构：Computer Vision and Robotics Laboratory Department of Electrical Engineering McGill University Montréal Québec Canada 

出 版 物：《COMPUTER VISION GRAPHICS AND IMAGE PROCESSING》 (Comput Vision Graphics Image Process)

年 卷 期：1985年第32卷第1期

页      面：74-103页

核心收录：

基　　金：Natural Sciences and Engineering Research Council of Canada  NSERC  (A4470) 

主　　题：VISION 

摘      要：Orientation selection is the inference of orientation information out of images. It is one of the foundations on which other visual structures are built, since it must precede the formation of contours out of pointillist data and surfaces out of surface markings. We take a differential geometric view in defining orientation selection, and develop algorithms for actually doing it. The goal of these algorithms is formulated in mathematical terms as the inference of a vector field of tangents (to the contours), and the algorithms are studied in both abstract and computational forms. They are formulated as matching problems, and algorithms for solving them are reduced to biologically plausible terms. We show that two different matching problems are necessary, the first for 1-dimensional contours (which we refer to as Type I processes) and second for 2-dimensional flows (or Type II processes). We conjecture that this difference is reflected in the response properties of “simple and “complex cells, respectively, and predict several other psychophysical phenomena.