Using the HVS binocular properties for the construction of a comprehensive stereoscopic matching model

3D perception consists in receiving two dissimilar retinal images on both eyes. These retinal images undergo pretreatments before arriving at the visual cortex to be merged. In this paper we propose an approach which redraws this pretreatment process. A model for computing the binocular energy is proposed. This model is based on the simple cells and the complex cells properties, which are the source of binocular fusion in the visual cortex. To refine the obtained matching, a set of stereoscopic constraints are integrated into the model, to filter the information as it is made at the lateral geniculate body (LGB). This modeling also allows us to detect the regions affected by the binocular rivalry phenomenon. The obtained results can be exploited by the stereoscopic vision applications, such as the 3D reconstruction, the stereoscopic coding, stereoscopic quality assessment and other applications.