Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Saliency, Scale and Image Description
International Journal of Computer Vision
Computer Vision
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Pattern Recognition Letters
Object Matching in Distributed Video Surveillance Systems by LDA-Based Appearance Descriptors
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Object identification in a Bayesian context
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Clothes matching for blind and color blind people
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
The Balanced Accuracy and Its Posterior Distribution
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Data Association Algorithm for People Re-identification in Photo Sequences
ISM '10 Proceedings of the 2010 IEEE International Symposium on Multimedia
Pattern Recognition Letters
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Appearance description is a relevant field in computer vision that enables object recognition in domains as re-identification, retrieval and classification. Important cues to describe appearance are colors and textures. However, in real cases, texture detection is challenging due to occlusions and to deformations of the clothing while person's pose changes. Moreover, in some cases, the processed images have a low resolution and methods at the state of the art for texture analysis are not appropriate. In this paper, we deal with the problem of localizing real textures for clothing description purposes, such as stripes and/or complex patterns. Our method uses the entropy of primitive distribution to measure if a texture is present in a region and applies a quad-tree method for texture segmentation. We performed experiments on a publicly available dataset and compared to a method at the state of the art[16]. Our experiments showed our method has satisfactory performance.