ThesisAuthors: Favaretto, Paola (2006)
In viewing a 3D scene, object features are seen on 3D surfaces infused with lightness and color at correct depths. By only focusing on how left and right features are correctly matched, most 3D vision models have not explained how this happens. A 3D LAMINART model (Grossberg and Howe, 2003; Cao and Grossberg, 2005) proposed that laminar cortical mechanisms interact to create 3D surface percepts using interactions between boundary and surface representations. Previous work using this model explained perception of relatively simple objects, like bars and blocks, in relatively simple spatial configurations that did not contain any mutual occlusions. This thesis extends the 3D LAMINART model to predict how textured images with multiple potential false binocular matches, e.g. dense stere... 
