International Journal of Computer Vision
Scale and the differential structure of images
Image and Vision Computing - Special issue: information processing in medical imaging 1991
Geometric invariance in computer vision
Geometric invariance in computer vision
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Saliency, Scale and Image Description
International Journal of Computer Vision
The Structure of Locally Orderless Images
International Journal of Computer Vision
Object Recognition Using Multidimensional Receptive Field Histograms
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
An Affine Invariant Interest Point Detector
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Learning a Sparse Representation for Object Detection
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Face recognition: component-based versus global approaches
Computer Vision and Image Understanding - Special issue on Face recognition
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This paper presents a technique to enable deformable regions to be matched using image databases based on the information provided by the differential invariants of local histograms for the key-region. We shall show how this technique is robust enough to deal with local deformations, viewpoint changes, lighting changes, large motions of the tracked object and small changes in image rotation and scale. The proposed algorithm is based on the building of a specific template where an orthogonal representation space is associated with each of its locations. This space is calculated from neighboring information provided by a vector of local invariants calculated on each of the image's pixels. Unlike other well-known color-based techniques, this algorithm only uses the pixels' gray level values.