In this paper we focus on identifying image structures at different levels in figurative (trademark) images to allow higher level similarity between images to be inferred. To identify image structures at different levels, it is desirable to be able to achieve multiple views of an image at different scales and then extract perceptually-relevant shapes from the different views. The three aims of this work are: to generate multiple views of each image in a principled manner, to identify structures and shapes at different levels within images and to emulate the Gestalt principles to guide shape finding. The proposed integrated approach is able to meet all three aims.
|Number of pages||6|
|Publication status||Published - 13 Feb 2008|
|Event||Proceedings Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications - Innsbruck, Austria|
Duration: 13 Feb 2008 → 15 Feb 2008
|Conference||Proceedings Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications|
|Period||13/02/08 → 15/02/08|
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- Image segmentation and representation
- perceptual s hape finding