Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312682908> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4312682908 abstract "Computer Graphics has successfully modeled and rendered many natural patterns, such as the spots on mammals, veins on leaves, and many others. Nevertheless, a fundamental problem remains: how to validate the results beyond subjective visual similarity. We propose a small set of quantitative descriptors tailored to describe the most common pigmentation biological patterns: spots, labyrinths, and stripes, found in many species of mammals and fishes. Our goal is not to classify images blindly, which can be done through deep neural networks but to gain insights into the structure of animal skin pigmentation. For that, we pursue specialized descriptors in the same sense as the general ones from content-based image retrieval systems. First, we compute twelve metrics using image processing tools from a set of real patterns curated from scratch from publicly available repositories. We then normalize those measures by the average and calculate the variance to yield our descriptors. We validate the descriptor’s usefulness through two machine learning tasks on an augmented dataset with real and synthetic patterns. First, the descriptors are used as features of a supervised classifier with an overall accuracy of 98.4%. Second, we test the descriptors in an unsupervised clustering task, differentiating natural from artificial patterns and correctly identifying species present in the natural set. These tests show that the proposed small set of descriptors is representative of the pattern domain analyzed." @default.
- W4312682908 created "2023-01-05" @default.
- W4312682908 creator A5043785300 @default.
- W4312682908 creator A5044675588 @default.
- W4312682908 creator A5057254062 @default.
- W4312682908 date "2022-10-24" @default.
- W4312682908 modified "2023-09-27" @default.
- W4312682908 title "Quantitative descriptors for a range of visual biologic pigmentation patterns" @default.
- W4312682908 cites W1930624869 @default.
- W4312682908 cites W1985072454 @default.
- W4312682908 cites W1992689255 @default.
- W4312682908 cites W2004223963 @default.
- W4312682908 cites W2024102412 @default.
- W4312682908 cites W2031092814 @default.
- W4312682908 cites W2033390742 @default.
- W4312682908 cites W2035892576 @default.
- W4312682908 cites W2078179749 @default.
- W4312682908 cites W2113834765 @default.
- W4312682908 cites W2128060444 @default.
- W4312682908 cites W2531409750 @default.
- W4312682908 cites W2589371484 @default.
- W4312682908 cites W2783622821 @default.
- W4312682908 cites W2943268109 @default.
- W4312682908 cites W2964081807 @default.
- W4312682908 cites W2964350391 @default.
- W4312682908 cites W2998496342 @default.
- W4312682908 cites W3008940045 @default.
- W4312682908 cites W3087124025 @default.
- W4312682908 cites W3093653112 @default.
- W4312682908 cites W3198954576 @default.
- W4312682908 cites W4250218532 @default.
- W4312682908 doi "https://doi.org/10.1109/sibgrapi55357.2022.9991769" @default.
- W4312682908 hasPublicationYear "2022" @default.
- W4312682908 type Work @default.
- W4312682908 citedByCount "0" @default.
- W4312682908 crossrefType "proceedings-article" @default.
- W4312682908 hasAuthorship W4312682908A5043785300 @default.
- W4312682908 hasAuthorship W4312682908A5044675588 @default.
- W4312682908 hasAuthorship W4312682908A5057254062 @default.
- W4312682908 hasConcept C103278499 @default.
- W4312682908 hasConcept C115961682 @default.
- W4312682908 hasConcept C119857082 @default.
- W4312682908 hasConcept C153180895 @default.
- W4312682908 hasConcept C154945302 @default.
- W4312682908 hasConcept C177264268 @default.
- W4312682908 hasConcept C199360897 @default.
- W4312682908 hasConcept C41008148 @default.
- W4312682908 hasConcept C73555534 @default.
- W4312682908 hasConcept C95623464 @default.
- W4312682908 hasConceptScore W4312682908C103278499 @default.
- W4312682908 hasConceptScore W4312682908C115961682 @default.
- W4312682908 hasConceptScore W4312682908C119857082 @default.
- W4312682908 hasConceptScore W4312682908C153180895 @default.
- W4312682908 hasConceptScore W4312682908C154945302 @default.
- W4312682908 hasConceptScore W4312682908C177264268 @default.
- W4312682908 hasConceptScore W4312682908C199360897 @default.
- W4312682908 hasConceptScore W4312682908C41008148 @default.
- W4312682908 hasConceptScore W4312682908C73555534 @default.
- W4312682908 hasConceptScore W4312682908C95623464 @default.
- W4312682908 hasFunder F4320321091 @default.
- W4312682908 hasLocation W43126829081 @default.
- W4312682908 hasOpenAccess W4312682908 @default.
- W4312682908 hasPrimaryLocation W43126829081 @default.
- W4312682908 hasRelatedWork W1457719682 @default.
- W4312682908 hasRelatedWork W2167582322 @default.
- W4312682908 hasRelatedWork W2556319748 @default.
- W4312682908 hasRelatedWork W2563096758 @default.
- W4312682908 hasRelatedWork W2742991909 @default.
- W4312682908 hasRelatedWork W2961085424 @default.
- W4312682908 hasRelatedWork W2972035100 @default.
- W4312682908 hasRelatedWork W4306674287 @default.
- W4312682908 hasRelatedWork W4386053843 @default.
- W4312682908 hasRelatedWork W3158004940 @default.
- W4312682908 isParatext "false" @default.
- W4312682908 isRetracted "false" @default.
- W4312682908 workType "article" @default.