Week 6 Report: Overview of Facial Detection Techniques and Future Plans

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This report summarizes week 5 progress on facial detection methodologies, focusing on the Viola-Jones algorithm, Chehra, and deep convolutional neural networks (CNNs). Key topics include facial landmark detection, identifying features such as eyes, the tip of the nose, and corners of the mouth, along with feature extraction techniques like LBP and Gabor filters. Plans for week 7 include continuing feature extraction, annotating additional images, and training support vector machine (SVM) models to enhance our facial detection capabilities.

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Feb 12, 2026

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Week 6 Report: Overview of Facial Detection Techniques and Future Plans

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Week 6 Report Misrak Seifu, WesnaLalanne Mentor: Mahdi M. Kalayeh
Overview of week 5 • Face detection • Viola-Jones • Chehra • Deep Convolutional Neural Network • Facial landmark detection • Eyes • Tip of the nose • Corners of the mouth • Feature Extraction • LBP • Gabor • Normalized pixel values
Viola-Jones Face detector
Chehra
Deep CNN
Facial landmark detection
Feature Extraction Holistic feature Local features
Plan for week 7 Continue feature extractions Annotating more images Training SVM models