I organize this repo just for fun & my personal research.

Hope this helps and you'll enjoy it. : )

# Since triangle mesh is the most popular representation of 3D face, 
# the main part is mesh processing.
mesh/             # written in python(numpy)
|  io.py                 # read & write obj
|  vis.py                # plot mesh
|  transform.py          # transform mesh & estimate matrix
|  light.py              # add light & estimate light(to do)
|  render.py             # obj to image using rasterization render

# When can not use vercorization to optimize, loops in python are too slow to use. 
# So write core parts(loop) in c++, then use cython to compile them.
mesh_cython/      # written in c++(cython)
|  render.py             # the same API as in mesh/render.py, with faster speed.
|  light.py              # the same API as in mesh/light.py, with faster speed.
|  mesh_core*            # c++ codes of core parts.

# 3DMM is one of the most popular methods to generate & reconstruct 3d face.
morphabel_model/  # witten in python(numpy)
|  morphable_model.py    # morphable model class: generate & fit
|  fit.py                # estimate shape&expression parameters. 3dmm fitting.
|  load.py               # load 3dmm data

• 3dmm. run examples/2_3dmm.py

  left: random example generated by 3dmm

  right: 3d face generated by fitted 3dmm&pose parameters using 68 key points

  

• transform. python examples/3_transform.py left:

  fix camera position & use orthographic projection. (often used in reconstruction)

  transform face object:

  scale, change pitch angle, change yaw angle, change roll angle

  right:

  fix obj position & use perspective projection(fovy=30). (simulating real views)

  move camera position and rotate camera:

  from far to near, down & up, left & right, rotate camera

  

• light. python examples/4_light.py

  single point light:

  from left to right, from up to down, from near to far

  

• image map python examples/6_image_map.py

  render different attributes in image pixels.

  : depth, pncc, uv coordinates

  

• uv map python examples/7_uv_map.py

  render different attributes in uv coordinates.

  : colors(texture map), position(2d facial image & corresponding position map)

  

• Python 3 (python 2 should work, but I haven't tested)

• Python packages:

  • numpy
  • skimage (for reading&writing image)
  • scipy (for loading mat)
  • Cython (for compiling c++ files)

1. Clone the repository

git clone https://github.com/YadiraF/face3d
cd face3d

2. Compile c++ files (ignore if you use numpy version)

cd face3d/mesh_cython
python setup.py build_ext -i 

3. Prepare BFM Data (ignore if you don't use 3dmm)

   see Data/BFM/readme.md

4. Run examples