Abstract
In areas of artificial intelligence and computer vision, object representation and recognition is an important topic, and lots of methods have been developed for it. However, analysis and obtain the knowledge of object’s structure at higher levels are still very difficult now. We draw on the experience of pattern recognition theories of cognitive psychology to construct a compact, abstract and symbolic representing model of object’s contour based on components fitting which is more consistent with human’s cognition process. In addition, we design an algorithm to match components between different images of the same object in order to make the feature extraction at higher levels possible.
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Wei, H., Wang, Z. (2013). An Object Representation Model Based on the Mechanism of Visual Perception. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_13
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DOI: https://doi.org/10.1007/978-3-642-38577-3_13
Publisher Name: Springer, Berlin, Heidelberg
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