Object-based place recognition and loop closing with jigsaw puzzle image segmentation algorithm
In this paper we present a novel place recognition method. Instead of directly using large
numbers of SIFT features as visual landmarks, we first use a jigsaw puzzle image
segmentation algorithm to segment the input scene image into regions that may correspond
to objects or parts of objects. Based on these image regions, we further detect a set of salient
objects to represent a place and only those SIFT descriptors that were contained in these
salient objects were kept in the database. We also designed a range-tree data structure to …
numbers of SIFT features as visual landmarks, we first use a jigsaw puzzle image
segmentation algorithm to segment the input scene image into regions that may correspond
to objects or parts of objects. Based on these image regions, we further detect a set of salient
objects to represent a place and only those SIFT descriptors that were contained in these
salient objects were kept in the database. We also designed a range-tree data structure to …
[CITATION][C] Object-based place recognition and loop closing with jigsaw puzzle image segmentation algorithm, Robotics and Automation, ICRA 2008
C Cheng - IEEE International Conference on
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