A model of human estimation of 3D shape from shading information using zero crossings

Abstract

Proposes a model of human estimation of 3D shape from a single image using estimation theory. Firstly it is seen, using an example, that most human subjects estimate a 3D shape from the single image which is physically contradictory. Secondly it is seen that in order to explain the human false estimate it is necessary that in human estimation a given image is divided into several regions and different illuminant directions are used depending on the regions. Thirdly a model of human estimation of 3D shape and an algorithm of 3D shape estimation following the model are proposed.<>