Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Armin Schoisswohl"'
Autor:
Otmar Scherzer, Armin Schoisswohl
Publikováno v:
Real-Time Imaging. 8:53-60
This paper presents a fast and robust algorithm for generating compound panorama images from partially (spatially) overlapping data sets. This method results in optimizing a nonlinear functional. We propose a multiscale approach for the solution of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0294560ae78446df0bd2f76793d4926f
https://doi.org/10.1006/rtim.2001.0258
https://doi.org/10.1006/rtim.2001.0258
Autor:
Armin Schoisswohl
Publikováno v:
Mathematics in industry ISBN: 9783540250296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77c1f56dd8536f1b65a5461324440dd
https://doi.org/10.1007/978-3-540-34767-5_6
https://doi.org/10.1007/978-3-540-34767-5_6
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540405542
SNSC
SNSC
In this paper we revisite the constitutive equations for coefficients of orthonormal wavelets. We construct wavelets that satisfy alternatives to the vanishing moments conditions, giving orthonormal basis functions with scale dependent properties. Wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e1d41c2cc5866df2de05d63ba066531
https://doi.org/10.1007/3-540-45084-x_12
https://doi.org/10.1007/3-540-45084-x_12
Publikováno v:
Experiment. Math. 10, iss. 1 (2001), 67-86
We discussed closed form representations of filter coefficients of wavelets on the real line, half real line and on compact intervals. We show that computer algebra can be applied to perform this task. Moreover, we present a matrix analytical approac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b484a872bedcf23cce604247d4722a38
http://projecteuclid.org/euclid.em/999188421
http://projecteuclid.org/euclid.em/999188421
Autor:
Armin Schoisswohl, Ruisz Johannes
Publikováno v:
The Journal of the Acoustical Society of America. 125:1845
A method for three dimensional (3D) segmentation of an object is provided. The method obtains a volumetric data set containing object data and non-object data in proximity to the object data, the object data having a reference axis extending through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4168f67b51813dcfc11d2d006c2618b0
https://doi.org/10.1121/1.3099460
https://doi.org/10.1121/1.3099460