Facial keypoints detection is an important and central building block in application such as: Tracking faces in images and videos, analysis of facial expression and emotions, medical analysis of diseases, biometric signature and face recognition.

In this project we will participate in a competition on the open source Kaggel website and on a given Dataset, While trying to elevate methods in computer vision and machine learning to try and achieve state-of-the-art results. The goal of the project is to produce an algorithm for finding the facial keypoints using current promising approaches and improving them by new developments in relevant fields.

In this project we will compete against state-of-the-art algorithms for precise detection of facial keypoints.

1. Supervisor:
   Yonatan Dishon
   04-8295741
   Email: hovav@ee.technion.ac.il
   
2. Field:
   Computer Vision
3. Requirements:
   creativity in solution of complex problems, willing to self learn of the mathematical R programming language, determination and a strive for excellence
   046746 Computer vision algorithms and applications or an equivalent course
   Or a good knowledge in these topics
   046195 Introduction to Optimization
   
4. Project status:
   Taken by the student Yonathan Bashan
   
5. Visit:
   Project web site