Dense range image smoothing using adaptive regularization
- Authors
- Sun, Y.; Paik, J.-K.; Price, J.R.; Abidi, M.A.
- Issue Date
- Sep-2000
- Publisher
- IEEE Computer Society
- Citation
- IEEE International Conference on Image Processing, v.2, pp 744 - 747
- Pages
- 4
- Journal Title
- IEEE International Conference on Image Processing
- Volume
- 2
- Start Page
- 744
- End Page
- 747
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56158
- ISSN
- 0000-0000
- Abstract
- We propose an adaptive regularization algorithm for smoothing dense range images using a novel, first order stabilizing function. The stabilizer we suggest is based upon minimizing the reconstructed surface area and is derived in the native, spherical coordinate system of the range scanner. This allows adjustments to be made along only the direction of measurement, thereby preventing the data overlapping problem that can arise in dense images. Adaptation is achieved by adjusting the regularization parameter according to the results of 2D edge analysis. Results indicate effective noise suppression along with well preserved edges and details in the reconstructed, 3D surfaces.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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