Abstract-We propose a novel method for visual place recognition using bag of words obtained from accelerated segment test (FAST)+BRIEF features. For the first time, we build a vocabulary tree that discretizes a binary descriptor space and use the tree to speed up correspondences for geometrical verification. We present competitive results with no false positives in very different datasets, using exactly the same vocabulary and settings. The whole technique, including feature extraction, requires 22 ms/frame in a sequence with 26 300 images that is one order of magnitude faster than previous approaches. Index Terms-Bag of binary words, computer vision, place recognition, simultaneous localization and mapping (SLAM).
Recently an approach for place recognition using binary bag of words has been presented in REF .
Bags of Binary Words for Fast Place Recognition in Image Sequences
IEEE Transactions on Robotics
IEEE Transactions on Robotics
Computer Science