Computer Engineering Paper Giovanni Adorni, Alberto Broggi, Gianni Conte, Vincenzo D'Andrea, and Claudio Sansoè, High-level and low-level computer vision: towards an integrated approach, In E. Ardizzone, S. Gaglio, and F. Sorbello, editors, Trends in Artificial Intelligence, pages 322-331. Lecture Notes in Artificial Intelligence, Springer-Verlag, 1991,
Electronic version currently not available


The term perception refers to the means by which information acquired from the environment via the sense organs is transformed into experiences of objects, events, sounds, tastes, etc. In this paper, we shall focus on the problem of object perception dealing exclusively with the visual modality. More precisely we will present a system, SVL - Symbolic Vision Lab, which is a development environment for object perception algorithms. SVL is mainly devoted to symbolic computation and can exploit for low level tasks a massively parallel computer, such as the general purpose Connection Machine, or an ad hoc specific VLSI architectures whose efficiency can be simulated in advance on the Connection Machine itself.

For more information send email to broggi@CE.UniPR.IT