LLC's Image Classification Algorithm Based on Bag-of-Features with SIFT Descriptors

LLC's image classification algorithm represents a classic approach in computer vision. It follows the Bag-of-Features model framework and utilizes SIFT (Scale-Invariant Feature Transform) descriptors for robust feature extraction, demonstrating high effectiveness in image categorization tasks.

Image Classification Algorithm Using Sparse Coding and Linear Pyramid Matching

An image classification approach based on sparse coding and linear pyramid matching with implementation insights.

Image Classification Algorithm Based on Locality-Constrained Linear Coding

This MATLAB source code implements an image classification algorithm using Locality-Constrained Linear Coding (LLC), featuring sparse coding implementation and classifier integration