此匹配模式具有基于词汇树的内置循环检测,其中每个第 N 个图像 (loop_detection_period) 与其视觉上最相似的图像 (loop_detection_num_images) 进行匹配。请注意,图像文件名必须按顺序排列(例如image0001.jpg、image0002.jpg等)。数据库中的顺序不相关,因为图像是根据其文件名明确排序的。请注意,循环检测需要预先训练...
This matching mode has built-in loop detection based on a vocabulary tree, where every N-th image (loop_detection_period) is matched against its visually most similar images (loop_detection_num_images). Note that image file names must be ordered sequentially (e.g., image0001.jpg, image0002...
but with no luck. Also tried both exhaustive and sequential matching with loop closure detection turned on, but also not working. Have fixed intrinsic camera parameters as: fx:481.2, fy:480, cx: 319.5, cy: 239.5. Since colmap does not seem to work with negative intrinsics, I change the ...
// The number of images to retrieve in loop detection. This number should // be significantly bigger than the sequential matching overlap. int loop_detection_num_images = 30; int loop_detection_num_images = 50; // Number of nearest neighbors to retrieve per query feature. int loop_detection...
This matching mode has built-in loop detection based on a vocabulary tree, where every N-th image (loop_detection_period) is matched against its visually most similar images (loop_detection_num_images). Note that image file names must be ordered sequentially (e.g., image0001.jpg, image0002...
Note that loop detection requires a pre-trained vocabulary tree, that can be downloaded from https://demuc.de/colmap/. Vocabulary Tree Matching: In this matching mode [schoenberger16vote]_, every image is matched against its visual nearest neighbors using a vocabulary tree with spatial re-...
Note that loop detection requires a pre-trained vocabulary tree, that can be downloaded from https://demuc.de/colmap/. Vocabulary Tree Matching: In this matching mode [schoenberger16vote]_, every image is matched against its visual nearest neighbors using a vocabulary tree with spatial re-...