Biologically–compatible methods are not commonly used for face recognition. Complex
computational approaches are preferred and dominate the state of the art. However, we …

The visual cortex is able to extract disparity information through the use of binocular cells.
This process is reflected by the Disparity Energy Model, which describes the role and …

Stereo matching is one of the key technologies in stereo vision system due to its ultra high
data bandwidth requirement, heavy memory accessing and algorithm complexity. To speed …

Belief propagation (BP) algorithm still exists some shortages, such as inaccurate edge
preservation and ambiguous detail information in the foreground, while self-adapting …

Most biological approaches to disparity extraction rely on the disparity energy model (DEM).
In this paper we present an alternative approach which can complement the DEM model …

Object categorisation is a research area with significant challenges, especially in conditions
with bad lighting, occlusions, different poses and similar objects. This makes systems that …

A biological disparity energy model can estimate local depth information by using a
population of V1 complex cells. Instead of applying an analytical model which explicitly …

Virtual Generalizing Random Access Memory Weightless Neural Networks (VG-RAM WNN)
is an effective machine learning technique that offers simple implementation and fast …

Focusing on the problem of stereo matching accuracy not high enough in the image
matching with discontinuous or weak texture, this paper is to propose a stereo matching …

Most stereovision applications are binocular which uses information from a 2-camera array
to perform stereo matching and compute the depth image. Trinocular stereovision with a 3 …