3D Graphics Rendering

2022

2025

Computer Graphics Resources

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3D Model For Research

Here you can find some 3D scenes and models frequently used in the research papers.

Statistics For Rendering Engineers

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Some Statistical Analysis Tools

  • G*Power often used to determine the sample size (aka. number of participants) based on the statistical method/s will be used
  • Two tools I find very handy, i.e., jamovi and jasp for do the analysis without writing any additional line of code
  • Many researchers rely on the statistical software like IBM SPSS or R-Language
  • Other than those, the Python is the most powerful for data analysis. Python there are numerous libraries, e.g., NumPy, SciPy, Pandas are frequently used. Additionally, someone could check Python pingouin for statistical analysis. Someone can use pandas for data manipulation, SciPy or statsmodels for tests, and matplotlib or seaborn for plotting results. Moreover, If someone wants to work on eye-tracking data analysis, the package, pymovements is very handy.