Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present a novel place recognition method. Instead of directly using large numbers of SIFT features as visual landmarks,  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,  further detect a set of salient objects to represent a place and only those SIFT descriptors that re contained in these salient objects re kept in the database.  also designed a range-tree data structure to organize these salient objects to increase the matching efficiency. Experiments show that place recognition can be achieved accurately and efficiently with these salient objects.
['C. H. Cheng', 'David L. Page', 'Mongi A. Abidi']
I am writing a research paper on a idea Object-based place recognition and loop closing with jigsaw puzzle image segmentation algorithm
[{"from": "human", "value": "I am writing a research paper on a idea Object-based place recognition and loop closing with jigsaw puzzle image segmentation algorithm"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   present a novel place recognition method. Instead of directly using large numbers of SIFT features as visual landmarks,  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,  further detect a set of salient objects to represent a place and only those SIFT descriptors that re contained in these salient objects re kept in the database.  also designed a range-tree data structure to organize these salient objects to increase the matching efficiency. Experiments show that place recognition can be achieved accurately and efficiently with these salient objects."}]