TY - JOUR
AU1 - Nikitin, Andrei
AU2 - Mazitov, Timur
AU3 - 
AB - Acta Mechanica Slovaca 22 (3): 34 - 37, 2018 Acta Mechanica Slovaca ISSN 1335-2393 www.actamechanica.sk The Application of Contours Comparison Methods for Matching Segmented Point Clouds 1, 1 Andrei Nikitin *, Timur Mazitov Izhevsk State Technical University, ul. Studencheskaya 7, Izhevsk, 426069 Russia Abstract: This paper is devoted to the application of methods for contours and shapes comparison of objects represented as two-dimensional point clouds obtained during segmentation of data from a laser scanning system. The methods considered allow estimating the displacement of objects in the field of view of the scanning system. Methods are considered on the basis of Euclidean distances, Hausdorff metrics, invariant moments and shape context. Key words: shape; contour; contour comparison; Euclidean distance; invariant moments; Hausdorff metric; shape context; technical vision; image processing. 1. Introduction Data segmentation of scanning systems, objects segmentation, matching and tracking are complex tasks in perspective and developing areas of technical vision and image processing. The methods of comparing segmented data volumes, two- dimensional or three-dimensional point clouds, whole parameters of objects or images, allow to estimate changes in the data, reduce the amount of processed information, and use real-time data processing systems. Processing visual data of scanning systems makes it 
TI - The Application of Contours Comparison Methods for Matching Segmented Point Clouds
JF - Acta Mechanica Slovaca
DO - 10.21496/ams.2018.024
DA - 2018-09-15
UR - https://www.deepdyve.com/lp/unpaywall/the-application-of-contours-comparison-methods-for-matching-segmented-ECgY3DeJed
DP - DeepDyve
ER -