NDLI: Surface normal smoothing for superpixels in noisy depth images

Content Provider	IET Digital Library
Author	Yu, H. W. Jeon, J. D. Lee, B. H.
Abstract	A new smoothing algorithm to obtain surface normals for superpixels in the noisy depth image is proposed. For smoothing surface normals, the plane normal that indicates a surface characteristic is obtained by considering the inherent geometric similarity. This process results in smoothed surface normals which are free from noise of the depth image. The superpixels method with suggested smoothing algorithm outperforms in higher quality than the state-of-the art oversegmentation algorithms. The proposed technique can also be applied to any smoothing algorithms using surface normals for 3D features. Experimental results to demonstrate the effectiveness of the proposed smoothing surface normal technique is provided.
Starting Page	359
Ending Page	361
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 5, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2015.2599
Journal	Electronics Letters
Publisher Date	2016-01-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Features Computer Vision And Image Processing Technique Image Denoising Image Segmentation Inherent Geometric Similarity Noisy Depth Image Optical, Image And Video Signal Processing Oversegmentation Algorithm Signal Processing And Detection Signal Processing Theory Smoothed Surface Normals Smoothing Method Smoothing Surface Normal Technique Superpixels Method Surface Characteristic Surface Normal Smoothing Algorithm
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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