Hand Pose Estimation from Kinect
Computer Vision


Project Description:

We will tackle the practical problem of hand pose estimation from a single noisy depth image. A dedicated three-step pipeline will be used: Initial estimation step provides an initial estimation of the hand in-plane orientation and 3D location; Candidate generation step produces a set of 3D pose candidate from the Hough voting space with the help of the rotational invariant depth features; Verification step delivers the final 3D hand pose as the solution to an optimization problem.

Project Goal:

In this project we will develop and implement an application.

Project Details:
  1. Supervisor:
    Hovav Gazit
    Email: hovav@ee.technion.ac.il

  2. Field:
    Computer Vision
  3. Requirements:
    Open mind & High engineering ability
  4. Project status:
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