Robust Contour Decomposition Using a Constant Curvature Criterion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Finding Perceptually Closed Paths in Sketches and Drawings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wold Features for Unsupervised Texture Segmentation
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Inducing a perceptual relevance shape classifier
Proceedings of the 6th ACM international conference on Image and video retrieval
Layout indexing of trademark images
Proceedings of the 6th ACM international conference on Image and video retrieval
Eliciting perceptual ground truth for image segmentation
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Efficient logo retrieval through hashing shape context descriptors
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Interactive trademark image retrieval by fusing semantic and visual content
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
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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.