C++11 implementation of the supervised descent optimisation method
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Updated
Aug 6, 2018 - C++
C++11 implementation of the supervised descent optimisation method
Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data
University Thesis project
High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.
high accuracy facial landmark detection. with Look At Boundary model.
Making compatiable of https://github.com/yulequan/face-alignment-in-3000fps project to iOS and macOS platform
FaceTracker based on dlib and iOS
Use Opencv and dlib to create a face detection and recognizer application to find if a detected face is unknown face or one of our members.
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