Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Heriberto Cruz-Hernández"'
Publikováno v:
Data in Brief, Vol 20, Iss , Pp 1068-1072 (2018)
Order Type (OT) describes a point set avoiding the use of metric information. We show that OT is a descriptor which is invariant to Euclidean geometric transformations, change of scale and perspective projection. In this paper we provide the data rel
Externí odkaz:
https://doaj.org/article/39144d8cdc724641bfcfb9e874ff15ee
Publikováno v:
Mathematical and Computational Applications, Vol 24, Iss 4, p 97 (2019)
Recently a new kind of fiducial marker based on order type (OT) has been proposed. Using OT one can unequivocally identify a set of points through its triples of point orientation, and therefore, there is no need to use metric information. These prop
Externí odkaz:
https://doaj.org/article/fe854726a96841b59fcc772526e44538
Publikováno v:
Pattern Recognition. 81:213-223
This work introduces a novel visual fiducial tag appropriate for applications of automatic identification. The proposed tag is based in Order Type, a construction defined in Computational Geometry, which is invariant to 3D translation, rotation, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3cdc730272fd5d8871ada1a00ed564
https://doi.org/10.1016/j.patcog.2018.03.024
https://doi.org/10.1016/j.patcog.2018.03.024
Publikováno v:
Numerical and Evolutionary Optimization – NEO 2017 ISBN: 9783319961033
In this Chapter, we address the problem of identifying and fitting more than one ellipse simultaneously, from a set of data points in the plane. This problem is an active research area with many applications in engineering and biology. Numerous studi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2716a82daff374c21ccbe8c520891623
https://doi.org/10.1007/978-3-319-96104-0_4
https://doi.org/10.1007/978-3-319-96104-0_4
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319921976
MCPR
MCPR
The problem to find the matching of two set of points in the plane is solved in this paper, using a combinatorial invariant from Computational Geometry called Order Type. The problem is solved even if one of the set points has a general projective tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c892d33569ebe81a7cf2293805e709
https://doi.org/10.1007/978-3-319-92198-3_23
https://doi.org/10.1007/978-3-319-92198-3_23
Publikováno v:
ICAPR
This paper deals with the multi-ellipse fitting problem, which consist in identifying and fitting an unknown number of ellipses in presence of noise and outliers from data points in R2. This problem is an active research area with many applications i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cbdfaec9ffa67cbf61c5ddccdeda465
https://doi.org/10.1109/icapr.2017.8592965
https://doi.org/10.1109/icapr.2017.8592965
Publikováno v:
NEO 2016 ISBN: 9783319640624
The ellipse fitting problem is very common in science and industry. There exists a broad research on this problem, and currently we can find deterministic as well as stochastic methods in the specialized literature. Within the deterministic methods w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85d164a50e99ed25afd94cbeced70cd3
https://doi.org/10.1007/978-3-319-64063-1_6
https://doi.org/10.1007/978-3-319-64063-1_6
Publikováno v:
Mathematical and Computational Applications
Volume 24
Issue 4
Mathematical and Computational Applications, Vol 24, Iss 4, p 97 (2019)
Volume 24
Issue 4
Mathematical and Computational Applications, Vol 24, Iss 4, p 97 (2019)
Recently a new kind of fiducial marker based on order type (OT) has been proposed. Using OT one can unequivocally identify a set of points through its triples of point orientation, and therefore, there is no need to use metric information. These prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67bf255da4afa1b8836256195a47947b
https://doi.org/10.3390/mca24040097
https://doi.org/10.3390/mca24040097