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What is Face Recognition under Lighting Challenges about?

This document presents an approach for enhancing face recognition under difficult lighting conditions. It introduces a preprocessing pipeline and local ternary pattern (LTP) descriptors to extract illumination-insensitive features. The preprocessing pipeline applies gamma correction, difference of Gaussians filtering, and robust contrast normalization to remove unwanted illumination effects while retaining useful facial features. LTP generalizes local binary patterns to be less sensitive to noise. Experimen

Author

Krishna Chaitanya

Language

EN