Stereoscopic depth : a biological inspired judgement

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Eugénio da Costa Oliveira (Author) FEUP; Hugo Miguel Gravato Marques (Author) Other

Conference proceedings International

Title: BICS 04 - Brain Insoired Cognitive Systems

Pages: 1-7

BICS 04 - Brain Insoired Cognitive Systems

University of Striling , Scotland

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Technology > Computer technology > Image processing

Other information

Abstract (EN): The present paper aims to contribute to the research on depth perception mechanisms by using a biologically inspired model of stereoscopic vision. Stereogram images show that human beings are able to perceive depth just from the differences between the images coming from the retinas of both eyes. The research made aspires at finding support for the idea that the way stereogram images are perceived by human beings is just a consequence of the way they see on real world environments; that is, to show that the information received by the brain for generations is perfectly enough to make us interpret stereogram images as having differences on depth. Usually, to implement a stereoscopic depth mechanism on robots two parallel cameras are used. The images supplied by these cameras are very difficult to match by means of a biologically inspired algorithm since these ones require the use of local information, and the extension of information needed to mach the images from two parallel cameras is too large. Human beings have the ability to move their eyes and when they look at a real world object both eyes converge to that object. The disparity method built expected to make use of this behaviour (eye convergence) in order to reduce the disparity computation to local and much simpler algorithms.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7