关键词: 视觉注意, 视觉模型, 人像检测, 不变性识别

Abstract: An attention-based image recognition model is proposed. When analyze complex visual field or pattern, visual attention mechanism is used to detect saliency features in the image and drive the fixation point to scan the saliency features sequentially. During each fixation, the local pattern at the fixation point is memorized or matched. There are two parts in the memory of a complex pattern, the memory of local patterns that constitute the complex pattern and the memory of space relations between local patterns. Corresponding to memory process, the recognition process also contains two parts, the matching of local patterns and the matching of space relations between local patterns. An object is recognized only when there are enough numbers of local patterns is matched and the space relations between these local patterns are correct. This model is used in face detection in complex background. The results shows that the model can solves the problem of invariant recognition with respect to shift, rotation and scale, and the computing is fast and robust. This model likes human's vision system and is applicable.

Key words: visual attention, visual model, face detection, invariant recognition