Identification of Three-Dimensional Objects Using Range Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Image Recognition by Zernike Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Method of Normalization to Determine Invariants
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition Using Region Correspondences
International Journal of Computer Vision
Automatic Plankton Image Recognition
Artificial Intelligence Review
Determination of Aircraft Orientation for a Vision-Based System Using Artificial Neural Networks
Journal of Mathematical Imaging and Vision
Reconstruction of Three-Dimensional Objects through Matching of Their Parts
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Fitting of Planar Objects by Primitives
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using cross-ratios to model curve data for aircraft recognition
Pattern Recognition Letters
Signal recognition: fourier transform vs. Cosine transform
Pattern Recognition Letters
On the choice of consistent canonical form during moment normalization
Pattern Recognition Letters
Effective invariant features for shape-based image retrieval: Research Articles
Journal of the American Society for Information Science and Technology
Stand-alone embedded vision system based on fuzzy associative database
Image and Vision Computing
Explicit invariance of Cartesian Zernike moments
Pattern Recognition Letters
The RST invariant digital image watermarking using Radon transforms and complex moments
Digital Signal Processing
Recognition of offline handwritten numerals using an ensemble of MLPs combined by Adaboost
Proceedings of the 4th International Workshop on Multilingual OCR
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A procedure for using moment-based feature vectors to identify a three-dimensional object from a two-dimensional image recorded at an arbitrary viewing angle and range is presented. A moment form called standard moments, rather than the usual moment invariants, is considered. A standard six-airplane experiment was used to compare different techniques. Fourier descriptors and moment invariants were both compared to the present scheme for normalized moments. Various experiments were conducted using mixtures of silhouette and boundary moments and different normalization techniques. Standard moments gave slightly better results than Fourier descriptors for this experiment; both of these techniques were much better than moment invariants.