Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895953573> ?p ?o ?g. }
- W2895953573 endingPage "14" @default.
- W2895953573 startingPage "1" @default.
- W2895953573 abstract "We exploit the permutation creation ability of genetic optimization to find the permutation of one point set that puts it into correspondence with another one. To this end, we provide a genetic algorithm for the 3D shape correspondence problem, which is the main contribution of this article. As another significant contribution, we present an adaptive sampling approach that relocates the matched points based on the currently available correspondence via an alternating optimization. The point sets to be matched are sampled from two isometric (or nearly isometric) shapes. The sparse one-to-one correspondence, i.e., bijection, that we produce is validated both in terms of running time and accuracy in a comprehensive test suite that includes four standard shape benchmarks and state-of-the-art techniques." @default.
- W2895953573 created "2018-10-26" @default.
- W2895953573 creator A5052083145 @default.
- W2895953573 date "2018-10-23" @default.
- W2895953573 modified "2023-09-30" @default.
- W2895953573 title "A Genetic Isometric Shape Correspondence Algorithm with Adaptive Sampling" @default.
- W2895953573 cites W1537202893 @default.
- W2895953573 cites W1590776313 @default.
- W2895953573 cites W1957318557 @default.
- W2895953573 cites W1972597445 @default.
- W2895953573 cites W1977213563 @default.
- W2895953573 cites W1981537311 @default.
- W2895953573 cites W1982482685 @default.
- W2895953573 cites W1983406543 @default.
- W2895953573 cites W1984583081 @default.
- W2895953573 cites W1985850469 @default.
- W2895953573 cites W1985907520 @default.
- W2895953573 cites W1989191365 @default.
- W2895953573 cites W1989369091 @default.
- W2895953573 cites W2012385660 @default.
- W2895953573 cites W2020451939 @default.
- W2895953573 cites W2037689524 @default.
- W2895953573 cites W2042678181 @default.
- W2895953573 cites W2047161559 @default.
- W2895953573 cites W2069361216 @default.
- W2895953573 cites W2078357622 @default.
- W2895953573 cites W2086816767 @default.
- W2895953573 cites W2092036578 @default.
- W2895953573 cites W2094366023 @default.
- W2895953573 cites W2094732964 @default.
- W2895953573 cites W2097797924 @default.
- W2895953573 cites W2098578926 @default.
- W2895953573 cites W2103359096 @default.
- W2895953573 cites W2105106232 @default.
- W2895953573 cites W2105591368 @default.
- W2895953573 cites W2110760339 @default.
- W2895953573 cites W2111935653 @default.
- W2895953573 cites W2111957157 @default.
- W2895953573 cites W2112192224 @default.
- W2895953573 cites W2117085697 @default.
- W2895953573 cites W2126593320 @default.
- W2895953573 cites W2127025496 @default.
- W2895953573 cites W2131684094 @default.
- W2895953573 cites W2132044017 @default.
- W2895953573 cites W2136377760 @default.
- W2895953573 cites W2137733660 @default.
- W2895953573 cites W2163144711 @default.
- W2895953573 cites W2173758409 @default.
- W2895953573 cites W2208936087 @default.
- W2895953573 cites W2405355319 @default.
- W2895953573 cites W2472414548 @default.
- W2895953573 cites W2474265885 @default.
- W2895953573 cites W2508554746 @default.
- W2895953573 cites W2549445985 @default.
- W2895953573 cites W2552221052 @default.
- W2895953573 cites W2563408008 @default.
- W2895953573 cites W2617941226 @default.
- W2895953573 cites W2619671517 @default.
- W2895953573 cites W2728183739 @default.
- W2895953573 cites W2732387187 @default.
- W2895953573 cites W2736471917 @default.
- W2895953573 cites W2737081152 @default.
- W2895953573 cites W2750455213 @default.
- W2895953573 cites W3006223838 @default.
- W2895953573 cites W3109203711 @default.
- W2895953573 cites W3137702954 @default.
- W2895953573 cites W4241422529 @default.
- W2895953573 cites W647235838 @default.
- W2895953573 doi "https://doi.org/10.1145/3243593" @default.
- W2895953573 hasPublicationYear "2018" @default.
- W2895953573 type Work @default.
- W2895953573 sameAs 2895953573 @default.
- W2895953573 citedByCount "16" @default.
- W2895953573 countsByYear W28959535732019 @default.
- W2895953573 countsByYear W28959535732020 @default.
- W2895953573 countsByYear W28959535732021 @default.
- W2895953573 countsByYear W28959535732022 @default.
- W2895953573 countsByYear W28959535732023 @default.
- W2895953573 crossrefType "journal-article" @default.
- W2895953573 hasAuthorship W2895953573A5052083145 @default.
- W2895953573 hasConcept C103486182 @default.
- W2895953573 hasConcept C106131492 @default.
- W2895953573 hasConcept C11413529 @default.
- W2895953573 hasConcept C114614502 @default.
- W2895953573 hasConcept C119857082 @default.
- W2895953573 hasConcept C121332964 @default.
- W2895953573 hasConcept C140779682 @default.
- W2895953573 hasConcept C150921843 @default.
- W2895953573 hasConcept C154945302 @default.
- W2895953573 hasConcept C165696696 @default.
- W2895953573 hasConcept C177264268 @default.
- W2895953573 hasConcept C1862650 @default.
- W2895953573 hasConcept C199360897 @default.
- W2895953573 hasConcept C21308566 @default.
- W2895953573 hasConcept C24424167 @default.
- W2895953573 hasConcept C24890656 @default.
- W2895953573 hasConcept C2524010 @default.
- W2895953573 hasConcept C28719098 @default.