Surface material segmentation using polarisation
Nitya Subramaniam,Edwin R. Hancock +1 more
- 27 Sep 2010
- pp 115-124
TL;DR: The use of polarisation information for surface segmentation based on material characteristics is described, and how vectors of spherical harmonics can be used to characterise varying surface reflectance distributions is explored.
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Abstract: This paper describes the use of polarisation information for surface segmentation based on material characteristics. We work with both polarised and unpolarised light, and hence domains where the polarisation is either specular or diffuse. We commence by using moments to estimate the components of the polarisation image (mean-intensity, polarisation degree and phase) from images obtained through multiple polariser orientations. From the Fresnel theory, the phase of light remitted from a surface is equal to the azimuth angle of the remitted direction, and for materials with restricted ranges of refractive index the polarisation degree determines the zenith angle. Based on this observation, we parameterise the angular distribution of the mean intensity for remitted light using spherical harmonics. We explore how vectors of spherical harmonics can be used to characterise varying surface reflectance distributions, and segment a scene into different material patches usingMahalanobis distances and normalized graph cuts.
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Citations
Advances in Pattern Recognition
TL;DR: This paper proposes training costsentitive neural networks with editing techniques for handling the class imbalance problem on multi-class datasets and proposes a strategy to remove majority samples while compensating theclass imbalance during the training process.
42
•Journal Article
Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging
TL;DR: In this paper, an extension of the shape-from-polarization method for dielectric surfaces to metallic surfaces is presented, and a new way of solving the ambiguity concerning the normal orientation with an active lighting system is described.
12
Visual Behaviour Based Bio-Inspired Polarization Techniques in Computer Vision and Robotics
Abd El Rahman Shabayek,Olivier Morel,David Fofi +2 more
- 19 Mar 2012
TL;DR: The aim is to have a comprehensive survey highlighting the key principles of polarization based techniques and how they are biologically inspired in computer vision and robotics.
10
•Dissertation
Apports combinés de la vision omnidirectionnelle et polarimétrique pour la navigation de robots
Abd Elrahman Ahmed Shabayek
- 28 Nov 2012
TL;DR: This work aims to obtain an omnidirectional 360 view combined with polarization characteristics based on catadioptric sensors which are composed of reflective surfaces and lenses and enables bio-inspired robot orientation and navigation applications and possible outdoor localization based on the skylight polarization patterns.
8
Bio-Inspired Polarization Vision Techniques for Robotics Applications
Abd El Rahman Shabayek,Olivier Morel,David Fofi +2 more
- 01 Jan 2015
TL;DR: The aim is to have a comprehensive survey highlighting the key principles of polarization-based techniques and how they are biologically inspired in computer vision and robotics.
7
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TL;DR: In this article, the authors discuss various topics about optics, such as geometrical theories, image forming instruments, and optics of metals and crystals, including interference, interferometers, and diffraction.
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Normalized cuts and image segmentation
Jianbo Shi,Jitendra Malik +1 more
TL;DR: This work treats image segmentation as a graph partitioning problem and proposes a novel global criterion, the normalized cut, for segmenting the graph, which measures both the total dissimilarity between the different groups as well as the total similarity within the groups.
Normalized cuts and image segmentation
Jianbo Shi,Jitendra Malik +1 more
- 17 Jun 1997
TL;DR: This work treats image segmentation as a graph partitioning problem and proposes a novel global criterion, the normalized cut, for segmenting the graph, which measures both the total dissimilarity between the different groups as well as the total similarity within the groups.
Constraining object features using a polarization reflectance model
TL;DR: The authors present a polarization reflectance model that uses the Fresnel reflection coefficients, which accurately predicts the magnitudes of polarization components of reflected light, and all the polarization-based methods presented follow from this model.
502
Recovery of surface orientation from diffuse polarization
TL;DR: Experimental results are presented that illustrate that the technique is accurate near object limbs, as the theory predicts, with less precise, but still useful, results elsewhere.