{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T13:18:26Z","timestamp":1648905506390},"reference-count":32,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2013,5]]},"abstract":"<jats:p> Vision-based robot localization outdoors has remained more elusive than its indoors counterpart. Drastic illumination changes and the scarceness of suitable landmarks are the main difficulties. This paper attempts to surmount them by deviating from the main trend of using local features. Instead, a global descriptor called landmark-view is defined, which aggregates the most visually-salient landmarks present in each scene. Thus, landmark co-occurrence and spatial and saliency relationships between them are added to the single landmark characterization, based on saliency and color distribution. A suitable framework to compare landmark-views is developed, and it is shown how this remarkably enhances the recognition performance, compared against single landmark recognition. A view-matching model is constructed using logistic regression. Experimentation using 45 views, acquired outdoors, containing 273 landmarks, yielded good recognition results. The overall percentage of correct view classification obtained was 80.6%, indicating the adequacy of the approach. <\/jats:p>","DOI":"10.1142\/s0218001413550045","type":"journal-article","created":{"date-parts":[[2013,5,3]],"date-time":"2013-05-03T07:44:15Z","timestamp":1367567055000},"page":"1355004","source":"Crossref","is-referenced-by-count":0,"title":["OUTDOOR VIEW RECOGNITION BASED ON LANDMARK GROUPING AND LOGISTIC REGRESSION"],"prefix":"10.1142","volume":"27","author":[{"given":"EDUARDO","family":"TODT","sequence":"first","affiliation":[{"name":"Federal University of Parana - UFPR, R. Francisco Hoffmann dos Santos 100, 81531-980 Curitiba, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"CARME","family":"TORRAS","sequence":"additional","affiliation":[{"name":"Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC, Llorens i Artigas 4-6, 08028 Barcelona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2013,6,18]]},"reference":[{"key":"rf1","volume-title":"Network Flows: Theory, Algorithms, and Applications","author":"Ahuja R. K.","year":"1993"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(01)00086-3"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1016\/S0262-8856(99)00040-2"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1109\/34.954600"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001404003228"},{"key":"rf9","unstructured":"D. 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