特征 Resources

Showing items tagged with "特征"

This MATLAB implementation performs keypoint detection on input images, identifying salient points that typically correspond to important objects within the image. These keypoints serve as robust features for object recognition and image classification tasks. The algorithm can be executed by running the demonstration script Ldx_GoSalScale.m (compatible with MATLAB 7.0 environment), which showcases practical usage examples and demonstrates the core detection methodology.

MATLAB 362 views Tagged
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A MATLAB-implemented content-based image retrieval system featuring modular architecture for easy customization and extension of feature extraction algorithms to reduce development workload.

MATLAB 245 views Tagged
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Application Context: This MATLAB implementation of feature-based face recognition algorithm compares facial feature values against a database to find optimal matches for captured images, achieving high accuracy. The algorithm utilizes eigenfaces for feature extraction and implements pattern matching techniques to identify the closest database match. Technical Approach: The code employs principal component analysis (PCA) for dimensionality reduction and feature extraction, using covariance matrices and eigenvalue decomposition to create efficient facial templates. The implementation includes database indexing and similarity measurement functions for optimized performance.

MATLAB 228 views Tagged
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The system first utilizes "gettrainingdata" to extract facial features from the sample database where each individual has only one sample. Then "facerecognition" processes input faces for identification, delivering relatively accurate recognition results through feature matching algorithms.

MATLAB 217 views Tagged
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This project implements a straightforward pattern recognition task using Bayes classifier. The training dataset consists of female.txt and male.txt files, while the classifier performance is evaluated using test datasets set1.txt, set2.txt, and set3.txt. The implementation involves experiments with both single features and feature pairs to analyze classification accuracy.

MATLAB 238 views Tagged
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Pseudo-Zernike Moment Transform - Computes pseudo-Zernike moments of images as features, with implementation involving orthogonal polynomial calculations and complex radial basis functions.

MATLAB 223 views Tagged
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