Orientation-Independent Tensor Voting Analysis

Abstract:

Tensor voting framework is an approach for perceptual organization. A tensor can provide more information than scalar or vector in image processing. However, the structure of tensor also makes it not unique but orientation dependent. In this paper, to quantify properly the intrinsic orientation-independent voting process, we proposed a new description of the tensor fields, which consists of three rotationally invariant quantities. Instead of coordinate transformation, this approach does not require tensor diagonalization or eigenvalue calculation. Therefore, our approach is not susceptible to potential artifacts induced during these number manipulations, meanwhile simplified the voting process at the same time.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 3286-3292
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.3286
• Online since: September 2013
• Authors: Si Lu Guo, Xiao Nian Wang
• Keywords: Imaging, Orientation Independent, Perceptual Grouping, Rotationally Invariants, Tensor Voting

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