Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
International Journal of Computer Vision
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Hybrid tracking and visual search
MM '08 Proceedings of the 16th ACM international conference on Multimedia
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Speeding up mobile multimedia applications
Proceedings of the international conference on Multimedia
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We explore how to optimally categorize regions for faster and more reliable image matching and registration. We propose using the entropy of histogram of oriented gradients(HOG) features to characterize image regions, and propose a region-sensitive feature selection algorithm for image registration. We apply the region categorization algorithms to several mobile applications, including mobile visual search and image registration for panorama. We demonstrate the effectiveness of our approach by experimental results on a large dataset.