|Center for Cognitive Sciences||Institute for Neurophysics||University of Bremen|
The different perspectives of our two eyes lead to slight relative displacements of objects (disparities) in the two monocular views of scene. The human visual system is able to
Stereovision has long been researched; common computational approaches include feature-based, area-based and phase-based methods. All these methods have their intrinsic problems, caused by the very assumptions inherent in these approaches.
Here, a new, simple and fast algorithm is described, which is based on the coherence-detection between simple disparity units. The neural network implementing the algorithm creates the cyclopean view of the scene as a simple by-product of the disparity calculations.