Abstract
In this paper we propose a novel approach for visual object recognition. The main idea is to consider the object recognition task as an active process which is guided by multi-cue attentional indexes, which at the same time correspond to object’s parts. In this method, a visual attention mechanism is carried out. It does not correspond to a different stage (or module) of the recognition process; on the contrary, it is inherent in the recognition strategy itself. Recognition is achieved by means of a sequential search of object’s parts: parts selection depends on the current state of the recognition process. The detection of each part constraints the process state in order to reduce the search space (in the overall feature space) for future parts matching. As an illustration, some results for face and pedestrian recognition are presented.
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Trujillo, N., Chapuis, R., Chausse, F., Naranjo, M. (2007). Object Recognition: A Focused Vision Based Approach. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76856-2_62
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DOI: https://doi.org/10.1007/978-3-540-76856-2_62
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