1.以ExhaustiveFeatureMatcher为例,调用关系 ExhaustiveFeatureMatcher中有FeatureMatcherController(Match)、FeatureMatcherCache(缓存)、Database(保存输出)。 在ExhaustiveFeatureMatcher的Run中,对图片排列组合,然后调用FeatureMatcherController的Match。 2.src/colmap/controllers/feature_matching cc文件结构 ...
What feature matching algorithm is used by the COLMAP sequential matcher? I tried looking at the code but I could not find the name of an algorithm. Is the algorithm documented in a paper or thesis? If so please could you let me know what the title of the publication is?
I have a series of sequential pictures and use sequential_matcher to get the extrinsic of camera. but i found pointcloud exist overlay. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees No one assigned Labels None yet Projects ...
Further simplification of feature matcher code 687e566 ahojnnes requested review from mihaidusmanu, sarlinpe and B1ueber2y September 3, 2024 17:31 ahojnnes and others added 11 commits September 4, 2024 09:50 Fix test 5c10183 Merge branch 'main' into user/jsch/feature-matcher-simplify ...
The documentation advises to use the option "--use_gpu true" or "--use_gpu false", but the *_matcher's have instead as input argument "--SiftMatching.use_gpu". Minor correction of input argument for *_matcher's … cfd5db5 Contributor ahojnnes commented Jun 12, 2017 Great, thanks...
(anonymous namespace)::MatchNearestNeighborsInVisualIndex(int, int, int, int, int, int, const std::vector<unsigned int>&, colmap::Thread*, colmap::FeatureMatcherCache*, colmap::retrieval::VisualIndex<>*, colmap::SiftFeatureMatcher*)::<lambda(colmap::image_t)>(unsigned int)> > (__f=....
This repository demonstrates how to incorporate and use deep-learning based local features and matchers in COLMAP. Compared to the default SIFT features of COLMAP, it can provide denser and higher quality image matching. Usage convert.py is for preparing input image data for 3D Gaussian Splatting...
This repository demonstrates how to incorporate and use deep-learning based local features and matchers in COLMAP. Compared to the default SIFT features of COLMAP, it can provide denser and higher quality image matching. - tmyok/custom-colmap