{"type":"ScholarlyArticle","title":"Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching","authors":[{"name":"Harry G. Barrow","slug":"harry-g-barrow","given":"Harry G.","family":"Barrow","affiliation":""},{"name":"Jay M. Tenenbaum","slug":"jay-m-tenenbaum","given":"Jay M.","family":"Tenenbaum","affiliation":""},{"name":"Robert C. Bolles","slug":"robert-c-bolles","given":"Robert C.","family":"Bolles","affiliation":""},{"name":"Helen C. Wolf","slug":"helen-c-wolf","given":"Helen C.","family":"Wolf","affiliation":""}],"abstract":"Parametric correspondence is a technique for matching images to a three dimensional symboli c reference map . An analytic camera model is used to predict the location and appearance of landmarks in the image , generating a projection for an assumed viewpoint. Correspondence is achieved by adjusting the parameters of the camera model until the appearances of the landmarks optimally match a symbolic description extracted from the image The matching of image and map features is performed rapidly by a new technique, called \"chamfer matching\" , that compares the shapes of two collections of shape fragments , at a cost proportional to linear dimension, rather than area These two techniques permit the matching of spatially extensive features on the basis of shape . which reduces the risk of ambiguous matches and the dependence on viewing conditions inherent in conventional image - based correlation matching.","doi":null,"url":"https://ijcai.org/proceedings/1977/158","pdf":"https://ijcai.org/proceedings/1977/0158.pdf","markdown":"https://ijcai.org/proceedings/1977/158.md","bibtex":"https://ijcai.org/proceedings/1977/bibtex/158","volume":{"slug":"1977","title":"Proceedings of the Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1977","url":"https://ijcai.org/proceedings/1977/","year":1977,"location":"Cambridge, MA, USA","dates":"","editors":"Raj Reddy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Vision","track":"Vision","number":158,"pages":{"first":659,"last":662},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}