{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:59:33Z","timestamp":1760237973724,"version":"build-2065373602"},"reference-count":24,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2020,7,4]],"date-time":"2020-07-04T00:00:00Z","timestamp":1593820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["#2014\/12236-1","#2016\/50250-1","#2017\/20945-0"],"award-info":[{"award-number":["#2014\/12236-1","#2016\/50250-1","#2017\/20945-0"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"name":"FAPESP - Microsoft Virtual Institute","award":["#2013\/50155-0","#2014\/50715-9"],"award-info":[{"award-number":["#2013\/50155-0","#2014\/50715-9"]}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["Finance Code 001"],"award-info":[{"award-number":["Finance Code 001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that concern, since conventional uniform image sensors typically capture large amounts of data to be further handled by the appropriate CV algorithms. Moreover, much of the acquired data are often redundant and outside of the application\u2019s interest, which leads to unnecessary processing and energy spending. In the literature, techniques for sensing and re-sampling images in non-uniform fashions have emerged to cope with these problems. In this study, we propose Application-Oriented Retinal Image Models that define a space-variant configuration of uniform images and contemplate requirements of energy consumption and storage footprints for CV applications. We hypothesize that our models might decrease energy consumption in CV tasks. Moreover, we show how to create the models and validate their use in a face detection\/recognition application, evidencing the compromise between storage, energy, and accuracy.<\/jats:p>","DOI":"10.3390\/s20133746","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T09:49:11Z","timestamp":1594028951000},"page":"3746","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Application-Oriented Retinal Image Models for Computer Vision"],"prefix":"10.3390","volume":"20","author":[{"given":"Ewerton","family":"Silva","sequence":"first","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9772-263X","authenticated-orcid":false,"given":"Ricardo","family":"da S. Torres","sequence":"additional","affiliation":[{"name":"Department of ICT and Natural Sciences, Norwegian University of Science and Technology, \u00c5lesund, 2 6009 Larsg\u00e5rdsvegen, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3765-8300","authenticated-orcid":false,"given":"Allan","family":"Pinto","sequence":"additional","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]},{"given":"Lin","family":"Tzy Li","sequence":"additional","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]},{"given":"Jos\u00e9 Eduardo","family":"S. Vianna","sequence":"additional","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]},{"given":"Rodolfo","family":"Azevedo","sequence":"additional","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]},{"given":"Siome","family":"Goldenstein","sequence":"additional","affiliation":[{"name":"Institute of Computing, University of Campinas, Campinas 13083-852, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Mukhopadhyay, S.C., Gupta, G.S., and Huang, R.Y.M. (2009). Vision Sensor with an Active Digital Fovea. Recent Advances in Sensing Technology, Springer.","DOI":"10.1007\/978-3-642-00578-7"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Bornholt, J., Mytkowicz, T., and Mckinley, K.S. (2012, January 27\u201329). 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