[TIFS 2018] Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
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Updated
Dec 13, 2020 - Jupyter Notebook
[TIFS 2018] Combining Data-driven and Model-driven Methods for Robust Facial Landmark Detection
Mock-Buddy is an AI assisted web application which help people to overcome the stage fear and improve public speaking and presentation skills.
Improvement image/video colorization using Zhang et al. algorithm with object-aware processing for custom recolorization, facial feature correction, and color bleeding prevention
🔥 IEEE 2024 (Niagara Falls, Canada) - ICME Grand Challenges 🥈
Real-time facial and hand landmark detection using Python and OpenCV. Detects faces and hands in webcam feeds, tracing key landmarks for each detected face and hand in real time.
A hybrid computer vision–based driver drowsiness detection system using MediaPipe Face Mesh and Dlib facial landmarks for real-time eye closure and yawn detection, featuring adaptive EAR calibration, audio alerts, SMS notifications, and image capture.
video processing service for mock-buddy
💄 AI-powered virtual lipstick try-on system using OpenCV, Flask, and MediaPipe with real-time lip detection, shade recommendations, and Nykaa product integration.
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