{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,2]],"date-time":"2025-03-02T05:47:15Z","timestamp":1740894435604,"version":"3.38.0"},"reference-count":19,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[1991,4,1]],"date-time":"1991-04-01T00:00:00Z","timestamp":670464000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of Robotics Research"],"published-print":{"date-parts":[[1991,4]]},"abstract":"<jats:p> The general principles of geometric reasoning for computer vision are discussed and some previous attempts at imple menting reasoners reviewed. A new implementation is pro posed that involves interval arithmetic to cope with uncer tainties and has a network structure that promotes efficiency from parallelism and accuracy from feedback. Typical con straints from a 3D model\/3D image vision system are dis cussed and used to evaluate the network performance. <\/jats:p>","DOI":"10.1177\/027836499101000203","type":"journal-article","created":{"date-parts":[[2007,3,5]],"date-time":"2007-03-05T01:24:06Z","timestamp":1173057846000},"page":"103-122","source":"Crossref","is-referenced-by-count":7,"title":["Geometric Reasoning in a Parallel Network"],"prefix":"10.1177","volume":"10","author":[{"given":"Robert B.","family":"Fisher","sequence":"first","affiliation":[{"name":"Department of Artificial Intelligence University of Edinburgh Edinburgh, Scotland"}]},{"given":"Mark J. L.","family":"Orr","sequence":"additional","affiliation":[{"name":"Advanced Robotics Research Ltd. Salford, England"}]}],"member":"179","published-online":{"date-parts":[[1991,4,1]]},"reference":[{"volume-title":"Introduction to Interval Computations","year":"1983","author":"Alefeld, G.","key":"atypb1"},{"key":"atypb2","doi-asserted-by":"publisher","DOI":"10.1177\/027836498800700605"},{"key":"atypb3","unstructured":"Ballard, D.H., and Tanaka, H. 1985. Transformational form perception in 3D: Constraints, algorithms and implementation. Proc. 9th Int. Joint Conf. on Artificial Intelligence . 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