March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Technical requirements
These technologies and installations are required to build and run the code in this chapter:
- OpenCV 4 (compiled with the sfm contrib module)
- Eigen v3.3+ (required by the sfm module)
- Ceres solver v2+ (required by the sfm module)
- CMake 3.12+
- Boost v1.66+
- OpenMVS
- CGAL v4.12+ (required by OpenMVS)
The build instructions for the components listed, as well as the code to implement the concepts in this chapter, will be provided in the accompanying code repository. Using OpenMVS is optional, and we may stop after getting the sparse reconstruction. However, the full MVS reconstruction is much more impressive and useful; for instance, for 3D printing replicas.
Any set of photos with sufficient overlap may be sufficient for ...