Autoblur and SARF techniques

Matlab implementation of ScSPM algorithm combined with AutoBlur and SARF techniques

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This package contains the Matlab codes implementing the ScSPM algorithm described in CVPR'09 paper "Linear Spatial Pyramid Matching using Sparse Coding for Image Classification".
It executes the experimentation under the following four environments:
- Original: use all SIFT descriptors for the SPM built and classification.
- AutoBlur: use only the filtered descriptors after apply the AutoBlur method.
- SARF-ISM: use only the filtered descriptors after apply the SARF-ISM method.
- SARF-KV: use only the filtered descriptors after apply the SARF-KV method.

Cite As

Eduardo Fidalgo (2026). Autoblur and SARF techniques (https://www.mathworks.com/matlabcentral/fileexchange/67846-autoblur-and-sarf-techniques), MATLAB Central File Exchange. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0.0.0