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In this paper, we propose a new shadow removal method from an image by extracting an illumination-invariant feature representation for road scene ...
Abstract—In this paper, we propose a new shadow re- moval method from an image by extracting an illumination- invariant feature representation for road ...
Illumination-Invariant Feature by SVD and Its Applications
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Download Citation | On Nov 1, 2017, Sainan Guo and others published Illumination-Invariant Feature by SVD and Its Applications | Find, read and cite all the ...
In this paper, we propose a new shadow removal method from an image by extracting an illumination-invariant feature representation for road scene understanding.
People also ask
What is the illumination invariant feature?
An 'Illumination Invariant' refers to a function μ of images that remains constant regardless of changes in lighting conditions. It means that if two images of an object are taken from the same viewpoint but under different lighting conditions, the value of μ will be the same for both images.
What are the practical applications of SVD?
Singular-value decomposition (SVD) allows an exact representation of any matrix and it is easy to eliminate the less important data in the matrix to produce a low-dimensional approximation. This is meaningful in such applications as image compression and recommendation system.
We propose a novel illumination–insensitive feature descriptor named as anisotropic Weber synergy gradient descriptor (AWSGD).
Proceedings of the 2018 International Conference on Sensors, Signal and …, 2018. 2018. Illumination-invariant Feature by SVD and its Applications. S Guo, Y Gao ...
Nov 1, 2014 · Theoretical analysis shows that our SVD face is an illumination-invariant measure and has an ability to discover meaningful components (e.g., ...
Experimental results demonstrate that the SVD face is effective for face recognition and verification compared to previous approaches proposed in literature ...
In this paper, we propose to utilize the logarithmic nonsubsampled contourlet transform (LNSCT) to estimate the reflectance component from a single face image ...
Jan 1, 2022 · Keeping this in view, we introduce a method for illumination invariant face recognition that exploits large-scale and small-scale components by ...