Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312639824> ?p ?o ?g. }
- W4312639824 endingPage "708" @default.
- W4312639824 startingPage "690" @default.
- W4312639824 abstract "Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D map. In contrast, we propose Map-free Relocalization, i.e., using only one photo of a scene to enable instant, metric scaled relocalization. Existing datasets are not suitable to benchmark map-free relocalization, due to their focus on large scenes or their limited variability. Thus, we have constructed a new dataset of 655 small places of interest, such as sculptures, murals and fountains, collected worldwide. Each place comes with a reference image to serve as a relocalization anchor, and dozens of query images with known, metric camera poses. The dataset features changing conditions, stark viewpoint changes, high variability across places, and queries with low to no visual overlap with the reference image. We identify two viable families of existing methods to provide baseline results: relative pose regression, and feature matching combined with single-image depth prediction. While these methods show reasonable performance on some favorable scenes in our dataset, map-free relocalization proves to be a challenge that requires new, innovative solutions." @default.
- W4312639824 created "2023-01-05" @default.
- W4312639824 creator A5002942899 @default.
- W4312639824 creator A5008609865 @default.
- W4312639824 creator A5016559942 @default.
- W4312639824 creator A5016840801 @default.
- W4312639824 creator A5034550765 @default.
- W4312639824 creator A5056030247 @default.
- W4312639824 creator A5062576796 @default.
- W4312639824 creator A5067395390 @default.
- W4312639824 date "2022-01-01" @default.
- W4312639824 modified "2023-10-15" @default.
- W4312639824 title "Map-Free Visual Relocalization: Metric Pose Relative to a Single Image" @default.
- W4312639824 cites W125693051 @default.
- W4312639824 cites W153084048 @default.
- W4312639824 cites W1987648924 @default.
- W4312639824 cites W1989476314 @default.
- W4312639824 cites W2033819227 @default.
- W4312639824 cites W2043732461 @default.
- W4312639824 cites W2046166954 @default.
- W4312639824 cites W2049981393 @default.
- W4312639824 cites W2073761981 @default.
- W4312639824 cites W2085261163 @default.
- W4312639824 cites W2099940712 @default.
- W4312639824 cites W2105303354 @default.
- W4312639824 cites W2109635530 @default.
- W4312639824 cites W2129000642 @default.
- W4312639824 cites W2150066425 @default.
- W4312639824 cites W2151103935 @default.
- W4312639824 cites W2156598602 @default.
- W4312639824 cites W2165053603 @default.
- W4312639824 cites W2168104347 @default.
- W4312639824 cites W2200124539 @default.
- W4312639824 cites W2471962767 @default.
- W4312639824 cites W2520707372 @default.
- W4312639824 cites W2522940611 @default.
- W4312639824 cites W2556455135 @default.
- W4312639824 cites W2557465155 @default.
- W4312639824 cites W2561074213 @default.
- W4312639824 cites W2584731199 @default.
- W4312639824 cites W2592936284 @default.
- W4312639824 cites W2594519801 @default.
- W4312639824 cites W2605111497 @default.
- W4312639824 cites W2606794968 @default.
- W4312639824 cites W2609883120 @default.
- W4312639824 cites W2740418457 @default.
- W4312639824 cites W2795645133 @default.
- W4312639824 cites W2798373498 @default.
- W4312639824 cites W2830339951 @default.
- W4312639824 cites W2890097289 @default.
- W4312639824 cites W2892865870 @default.
- W4312639824 cites W2894971516 @default.
- W4312639824 cites W2905260191 @default.
- W4312639824 cites W2928601293 @default.
- W4312639824 cites W2949924544 @default.
- W4312639824 cites W2951019013 @default.
- W4312639824 cites W2962705366 @default.
- W4312639824 cites W2963125676 @default.
- W4312639824 cites W2963272646 @default.
- W4312639824 cites W2963674285 @default.
- W4312639824 cites W2963760790 @default.
- W4312639824 cites W2963856988 @default.
- W4312639824 cites W2967756832 @default.
- W4312639824 cites W2979458572 @default.
- W4312639824 cites W2981518351 @default.
- W4312639824 cites W2985775862 @default.
- W4312639824 cites W2987672160 @default.
- W4312639824 cites W3010479006 @default.
- W4312639824 cites W3017008958 @default.
- W4312639824 cites W3034275286 @default.
- W4312639824 cites W3034373437 @default.
- W4312639824 cites W3035559192 @default.
- W4312639824 cites W3035563186 @default.
- W4312639824 cites W3091598621 @default.
- W4312639824 cites W3092233714 @default.
- W4312639824 cites W3097152356 @default.
- W4312639824 cites W3097708177 @default.
- W4312639824 cites W3108543662 @default.
- W4312639824 cites W3108735274 @default.
- W4312639824 cites W3128125668 @default.
- W4312639824 cites W3138197200 @default.
- W4312639824 cites W3141835154 @default.
- W4312639824 cites W3166285241 @default.
- W4312639824 cites W3180300078 @default.
- W4312639824 cites W3186390317 @default.
- W4312639824 cites W3192503732 @default.
- W4312639824 cites W3201569612 @default.
- W4312639824 cites W3204873281 @default.
- W4312639824 cites W3207013765 @default.
- W4312639824 cites W4214520160 @default.
- W4312639824 cites W4226136443 @default.
- W4312639824 cites W4252201060 @default.
- W4312639824 doi "https://doi.org/10.1007/978-3-031-19769-7_40" @default.
- W4312639824 hasPublicationYear "2022" @default.
- W4312639824 type Work @default.
- W4312639824 citedByCount "1" @default.
- W4312639824 countsByYear W43126398242023 @default.
- W4312639824 crossrefType "book-chapter" @default.