Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data

摘要

We present an algorithm for computing the relative perceptual saliencies of the features of a three-dimensional object using either goodness-of- view scores measured at several viewpoints or perceptual similarities among several object views. This technique addresses the inverse, ill- posed version of the direct problem of predicting goodness-of-view scores or viewpoint similarities when the object features are known. On the basis of a linear model for the direct problem, we solve the inverse problem using the method of regularization.