Abstract
In this paper we address the problem of methodologies for computer vision. In the first part we will present a brief survey of the Marr paradigm, e.g., what David Marr called his philosophy. We will emphasize the sequence of hypotheses which progressively makes the scene recovery approach explicit as well as the limitations of this approach. We then present the goal-directed approach as an alternative to the recovery school: behaviorism versus reconstructionism. We show that this dichotomy is not the only possible one and introduce the idealism versus empiricism dichotomy. We propose some directions toward a new methodology in a systemic framework involving another, higher-level, methodological dichotomy: systemism versus reductionism. In this new framework we try to exploit of all the sources of constraints, and, thereby, to reconcile some of the previous approaches like recovery school and purposive vision.
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