A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamentals of digital image processing
Fundamentals of digital image processing
Multiresolution elastic matching
Computer Vision, Graphics, and Image Processing
Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Pattern Recognition Using a New Transformation Distance
Advances in Neural Information Processing Systems 5, [NIPS Conference]
A fuzzy image metric with application to fractal coding
IEEE Transactions on Image Processing
Limitations of special-purpose instructions for similarity measurements in media SIMD extensions
CASES '06 Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Versatility of extended subwords and the matrix register file
ACM Transactions on Architecture and Code Optimization (TACO)
A Framework for Multi-view Gender Classification
Neural Information Processing
An adaptive image Euclidean distance
Pattern Recognition
Theory and algorithm for learning with dissimilarity functions
Neural Computation
Spatially Smooth Subspace Face Recognition Using LOG and DOG Penalties
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Optimized image resizing using seam carving and scaling
ACM SIGGRAPH Asia 2009 papers
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Tensor distance based multilinear multidimensional scaling for image and video analysis
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Multi-model classification method in heterogeneous image databases
Pattern Recognition
Selecting optimal orientations of Gabor wavelet filters for facial image analysis
ICISP'10 Proceedings of the 4th international conference on Image and signal processing
A multiple combining method for optimizing dissimilarity-based classification
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Tensor distance based multilinear locality-preserved maximum information embedding
IEEE Transactions on Neural Networks
Contextual constraints based linear discriminant analysis
Pattern Recognition Letters
An improvement of dissimilarity-based classifications using sift algorithm
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Particle Filtering with Region-based Matching for Tracking of Partially Occluded and Scaled Targets
SIAM Journal on Imaging Sciences
Expert Systems with Applications: An International Journal
3D human face description: landmarks measures and geometrical features
Image and Vision Computing
CISIM'12 Proceedings of the 11th IFIP TC 8 international conference on Computer Information Systems and Industrial Management
2D-line-drawing-based 3d object recognition
CVM'12 Proceedings of the First international conference on Computational Visual Media
Hierarchical kernel-based rotation and scale invariant similarity
Pattern Recognition
| Hi-index | 0.15 |
We present a new Euclidean distance for images, which we call IMage Euclidean Distance (IMED). Unlike the traditional Euclidean distance, IMED takes into account the spatial relationships of pixels. Therefore, it is robust to small perturbation of images. We argue that IMED is the only intuitively reasonable Euclidean distance for images. IMED is then applied to image recognition. The key advantage of this distance measure is that it can be embedded in most image classification techniques such as SVM, LDA, and PCA. The embedding is rather efficient by involving a transformation referred to as Standardizing Transform (ST). We show that ST is a transform domain smoothing. Using the Face Recognition Technology (FERET) database and two state-of-the-art face identification algorithms, we demonstrate a consistent performance improvement of the algorithms embedded with the new metric over their original versions.