Adaptation of space-mapping methods for object location estimation to camera setup changes - A new study

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Abstract

A new space-mapping method for object location estimation which is adaptive to camera setup changes in various applications is proposed. The location of an object appearing in an image is estimated by mapping image coordinates of object points to corresponding real-world coordinates using a mapping table, which is constructed in two stages, with the first for establishing a basic table using bilinear interpolation and the second for adapting it to changes of camera heights and orientations. Analytic equations for such adaptation are derived based on image formation and camera geometry properties. Good experimental results are shown to prove the feasibility of the proposed method. © 2009 Springer Berlin Heidelberg.

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Wu, C. J., & Tsai, W. H. (2009). Adaptation of space-mapping methods for object location estimation to camera setup changes - A new study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5712 LNAI, pp. 395–402). https://doi.org/10.1007/978-3-642-04592-9_50

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