An Interactive Constraint-Based System for Selective Attention in Visual Search

. We face in this paper the problem of model-based object recognition in a scene. Computer vision techniques usually separate the extraction of visual information from the scene from the reasoning on the symbolic data. We propose to interactively intertwine the two parts: the reasoning task on visual information is based on constraint satisfaction techniques. Objects are modeled by means of constraints and constraint propagation recognizes an object in the scene. We extend the classical Constraint Satisfaction Problem (CSP) approach which is not suitable for coping with undefined information. We thus propose an Interactive CSP model for reasoning on partially defined data, generating new constraints which can be used to guide the search and to incrementally process newly acquired knowledge. 1 Introduction Visual search is a very popular paradigm of computer vision, relying the location and identification of a known target in a visual scene. Many studies of human and computer-based vi..

An Interactive Constraint-Based System for Selective Attention in Visual Search

. We face in this paper the problem of model-based object recognition in a scene. Computer vision techniques usually separate the extraction of visual information from the scene from the reasoning on the symbolic data. We propose to interactively intertwine the two parts: the reasoning task on visual information is based on constraint satisfaction techniques. Objects are modeled by means of constraints and constraint propagation recognizes an object in the scene. We extend the classical Constraint Satisfaction Problem (CSP) approach which is not suitable for coping with undefined information. We thus propose an Interactive CSP model for reasoning on partially defined data, generating new constraints which can be used to guide the search and to incrementally process newly acquired knowledge. Keywords: Machine Vision, Constraint Satisfaction. 1 Introduction Visual search is a very popular paradigm of computer vision, relying the location and identification of a known target in a vis..