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Applying perceptual grouping to content-based image retrieval: building images

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2 Author(s)
Iqbal, Q. ; Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA ; Aggarwal, J.K.

This paper presents an application of perceptual grouping rules for content-based image retrieval. The semantic interrelationships between different primitive image features are exploited by perceptual grouping to detect the presence of manmade structures. A methodology based on these principles in a Bayesian framework for the retrieval of building images, and the results obtained are presented. The image database consists of monocular grayscale outdoor images taken from a ground-level camera

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Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.  (Volume:1 )

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