Yi Te Change

Yi Te Change

Software Engineer, Statistician

My Offer

A computer vision software engineer with over 3 years of experience

I have maintained, developed and launched multiple projects, carrying the development of its’ algorithm and API codebases.

My current toolset contains

  • Python
    • Tensorflow
    • Scikit-Learn
    • Point Cloud Library
    • OpenCV
  • C++
    • Armadillo
    • Eigen
    • mlpack
    • OpenCV
  • R
  • Matlab

and all the other various framworks, libraries and technologies related to them.

I can help you with all the sides of your project

  • deep learning solutions, including feature detection, feature extraction, object detection, object recognition, object tracking and image segmentation.
  • image processing algorithms, including image matching, filtering, space/time domain analysis, morphology, ranging and depth, etc.
  • point cloud processing, including feature estimation, point cloud registration, surface reconstruction, 3D perception.
  • statistical optimization, including EM algorithm, Monto Carlo method, reinforcement learning, Bayesian optimization, genetic algorithm.
  • data cleaning, data preprocessing, and data visualization.

Call me a Swiss Army Knife in terms of computer vision.

Computer Vision Algorithm Engineer

To inspire a cutting-edge vision algorithm, I have some skills includes

  • Numerical Analysis, including matrix analysis, spectral analysis, convex optimization, FFT, etc.
  • Algorithms, including data structure, graph theory, Combinatorics, computational geometry.
  • Statistics and Probability, including regression, Bayesian theory, time series, reliability analysis, etc.
  • Mathematics, including differential equation, geometry, algebra, vector calculus, etc.

I also experience in developing a complete AOI process. A complete vision algorithm should start from camera calibration. To ensure that every time the data is clean when we receive, the process flow in every stop becomes quite important. It consists:

  • camera calibration.
  • focus stacking.
  • auto lighting.
  • image compression and transmission.
  • image preprocessing, including denoising, filtering, enhancement.