openMVG: "open Multiple View Geometry"(多目重建开源1)

mypcl

"open Multiple View Geometry" is a library for computer-vision scientists and especially targeted to the Multiple View Geometry community. It is designed to provide an easy access to the classical problem solvers in Multiple View Geometry and solve them accurately.

The openMVG credo is: "Keep it simple, keep it maintainable". OpenMVG targets readable code that is easy to use and modify by the community.

All the features and modules are unit tested. This test driven development ensures that the code works as it should and enables more consistent repeatability. Furthermore, it makes it easier for the user to understand and learn the given features.

To know more please visit the: openMVG GitHub repository

mypcl

Core features

openMVG multiview module consists of a collection of:
solvers for 2 to n-view geometry constraints that arise in multiple view geometry.
Homography
Fundamental matrix
Essential matrix
Resection/Pose estimation matrix
Triangulation

a generic framework that can embed these solvers for robust estimation
Max-Consensus
Ransac
AC-Ransac (model and precision estimation)

mypcl

mypcl 发表于 2017-2-19 19:01
Core features

openMVG multiview module consists of a collection of:

Code samples:

In order to learn to use the library openMVG is provided with code samples:
openMVG_Samples/siftPutativeMatches
Open two images,
Compute and match sift points and descriptors with distance ratio.

openMVG_Samples/robust_homography
Compute the sift points that are valid under homography constraint.

openMVG_Samples/robust_fundamental
Compute the sift points that are valid under fundamental matrix constraint.

openMVG_Samples/robust_essential
Compute the sift points that are valid under essential matrix constraint,
Triangulate the corresponding points,
Save the reconstructed scene in PLY file (open it with Meshlab).