Facial landmarks detection using opencv-Deep learning

6,000.00

Facial landmarks detection using opencv-Deep learning

100 in stock

SKU: Facial landmarks detection using opencv-Deep learning Category:

Description

Facial landmarks detection using opencv-Deep learning

Facial landmark detection is the task of detecting key landmarks on the face and tracking them.The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facial expressions. They are hence important for various facial analysis tasks.Facial landmarks to extract specific facial regions based on these facial landmarks.Detecting facial landmarks is a subset of the shape prediction problem. Given an input image (and normally an ROI that specifies the object of interest), a shape predictor attempts to localize key points of interest along the shape.Our goal is detect important facial structures on the face using shape prediction methods.Use deep learning-based algorithms for face localization.The end result is a facial landmark detector that can be used to detect facial landmarks in real-time with high quality predictions.

Additional information

Weight 1.000000 kg

Reviews

There are no reviews yet.

Be the first to review “Facial landmarks detection using opencv-Deep learning”

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.