Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Log-Polar Wavelet Energy Signatures for Rotation and Scale Invariant Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Euclidean Distance of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Hausdorff distance measure for face recognition
Pattern Recognition
Robust Object Recognition with Cortex-Like Mechanisms
IEEE Transactions on Pattern Analysis and Machine Intelligence
A canonical neural circuit for cortical nonlinear operations
Neural Computation
An adaptive image Euclidean distance
Pattern Recognition
Dim target detection and tracking based on empirical mode decomposition
Image Communication
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Image registration using adaptive polar transform
IEEE Transactions on Image Processing
Mathematics of the Neural Response
Foundations of Computational Mathematics
Image similarity: from fuzzy sets to color image applications
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Robust FFT-Based Scale-Invariant Image Registration with Image Gradients
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discriminative deep belief networks for visual data classification
Pattern Recognition
A Similarity Measure for Image and Volumetric Data Based on Hermann Weyl's Discrepancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biologically Inspired Features for Scene Classification in Video Surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
Feature-Based Sparse Representation for Image Similarity Assessment
IEEE Transactions on Multimedia
Representation Learning: A Review and New Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Image similarity measure has been widely used in pattern recognition and computer vision. We usually face challenges in terms of rotation and scale changes. In order to overcome these problems, an effective similarity measure which is invariant to rotation and scale is proposed in this paper. Firstly, the proposed method applies the log-polar transform to eliminate the rotation and scale effect and produces a row and column translated log-polar image. Then the obtained log-polar image is passed to hierarchical kernels to eliminate the row and column translation effects. In this way, the output of the proposed method is invariant to rotation and scale. The theoretical analysis of invariance has also been given. In addition, an effective template sets construction method is presented to reduce computational complexity and to improve the accuracy of the proposed similarity measure. Through the experiments with several image data sets we demonstrate the advantages of the proposed approach: high classification accuracy and fast.