New nonuniform sampling image representation method and its application in knowledge-based active pattern recognition

Fuhui Long; Nanning Zheng; Jiande Jiang

doi:10.1117/12.320123

17 July 1998 New nonuniform sampling image representation method and its application in knowledge-based active pattern recognition

Fuhui Long, Nanning Zheng, Jiande Jiang

Author Affiliations +

Proceedings Volume 3299, Human Vision and Electronic Imaging III; (1998) https://doi.org/10.1117/12.320123
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

The research of image representation method based on nonuniform sampling and the development of the foveated sensors are active research fields in recent years. We propose in this paper a nonuniform sampling image representation method based on an improved log-polar transform and apply it into the knowledge-based active pattern recognition. The novelty of our method lies in three aspects. First, compared with other nonuniform representation methods, our method provides a flexible structure between the pure nonuniform sampling and the classical uniform sampling representation and imitates the focus characteristic of human vision. The size of the areas of interest which is uniformly sampled with the highest resolution can be adjusted arbitrarily according to the knowledge of vision task and objects. Second, we proposed a knowledge-based method to decide `where to look next' based on the fovea-periphery structure. By introducing the concept of knowledge grain, knowledge of objects is organized hierarchically, from coarse to fine. We use fine grain knowledge to do the accurate pattern recognition in fovea area and use coarse grain knowledge to locate the fixation point candidates in periphery. Third, we give a general paradigm for knowledge-based active pattern recognition. Nonuniform sampling transform is imposed on the input image to obtain the fovea-periphery structure first. Then different grain of knowledge is used to solve the problems of `what it is' and `where it is` in fovea and periphery. The above procedure is repeated until no more fixation points can be found or the goal of vision task has already been reached. Experimental result in this paper demonstrates our idea to be a valid one.

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Fuhui Long, Nanning Zheng, and Jiande Jiang "New nonuniform sampling image representation method and its application in knowledge-based active pattern recognition", Proc. SPIE 3299, Human Vision and Electronic Imaging III, (17 July 1998); https://doi.org/10.1117/12.320123

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KEYWORDS

Nonuniform sampling

Pattern recognition

Visualization

Image segmentation

Sensors

Detection and tracking algorithms

Human vision and color perception

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