July

1st week

Documentation:
- Added a new section for computing depth map using stereo matching
- Studied the method of depth map fusion using a cost volume of a regular voxel grid
- Added new details for minimizing the first-order primal dual algorithm from @chambolle2011first
Implementation
- Tested Gallup implementation of local stereo matching using SAD in CUDA

Studying Dense Tracking and Mapping (DTAM) implementation by @newcombe2010dtam
- Base mesh is build over sparse point cloud from PTAM by the polygonalization of the function's zero level set of a function $f$ fit to the data points $$\mathbb{R}^3 \rightarrow \mathbb{R}, f(x) = 0$$
- Model predictive optical flow using projected images from the base model
- Use of dense TVL1 optical flow implementation to track pixels
- Mesh optimization using scene flow to compute vertex updates $$\triangle \mathbf{x}_j$$ which lie in the ray from the reference camera intersecting the base model vertex $$\mathbf{x}_j$$

Added documentation about Scene Flow and Optical Flow by @vedula1999sceneflow
Put some glue to all ideas making a new introduction to the main framework based on vector spaces over fibrations

Testing feature tracking based on FAST detector combined with fast matching using ZNCC search
ORB and FAST feature detectors are tested in the GPU. Both are fast and more stable than the goodfeaturestotrack

Removed submodule dependencies from OpenCV and OpenMVG: they increases project complexity and at currently they are not modified
- In fact, QtCreator does not recognize the OpenCV INCLUDEPATH using submodules
Debugging triangulation procedures to reduce the high Mean Reprojection Error (from 1000 to less than 1.0!)