Analytical Tensor Voting in ND Space and its Properties

This article aims to propose a novel Analytical Tensor Voting (ATV) mechanism, which enables robust perceptual grouping and salient information extraction for noisy N- N- dimensional (ND) data. Firstly, the approximation of the decaying function is investigated and adopted based on the idea of penal...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2023-05, Vol.45 (5), p.5404-5416
Hauptverfasser:	Lin, Hongbin, Guo, Dan, Wei, Jianing, Guan, Boran, Chen, Zeyu, Peng, Xiuping
Format:	Artikel
Sprache:	eng
Schlagworte:	<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <named-content content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX"> K-</tex-math> </inline-formula> </named-content> <mml:math> <mml:mrow> <mml:mi>K</mml:mi> <mml:mo>-</mml:mo> </mml:mrow> </mml:math> <inline-graphic xlink:href="hongbin-ieq8-3215475.gif" xlink:type="simple"/> </named-content>sphere Aerospace electronics analytical tensor voting Controllability Estimation Exact solutions Information retrieval Mathematical analysis Noise measurement perceptual grouping Representations Robustness Spherical coordinates spherical representation surface integral Tensors Three-dimensional displays
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