MatchMiner: Efficient Spanning Structure Mining in Large Image Collections

51 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

FlowWeb: Joint image set alignment by weaving consistent, pixel-wise correspondences (2015, background): “Recent work exploits the connectivity within an image collection by deﬁning a graph over images (e.g. [15, 27, 47, 13]) or objects (e.g. [28, 20, 6]).”
From single image query to detailed 3D reconstruction (2015, background): “[15] proposed a modified vocabulary tree based retrieval enforcing diversity in the retrieval results.”
Reconstructing the World* in Six Days *(As Captured by the Yahoo 100 Million Image Dataset) (2015, methodology): “Roman Forum [18] 74,388 73,566 45,341 17,804 2,971 3,408 23,397 0.”
Structure-from-Motion Revisited (2016, background): “A variety of approaches tackle the problem of scalable and efficient matching [1, 20, 37, 62, 28, 49, 30].”