Results 271 to 280 of about 100,759 (311)
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Reflectance-based surface saliency

2017 IEEE International Conference on Image Processing (ICIP), 2017
In this paper, we propose an original methodology allowing the computation of the saliency maps for high dimensional RTI data (Reflectance Transformation Imaging). Unlike most of the classical methods, our approach aims at devising an intrinsic visual saliency of the surface, independent of the sensor (image) and the geometry of the scene (light-object-
Gilles Pitard   +6 more
openaire   +1 more source

Hidden Surfaces, Reflectance, and Shading

1985
A three-dimensional line drawing is generally rather unrealistic, except in a few cases (see the Eiffel Tower in Fig. 7.1). To achieve realism in a computer-generated image, lines which could not really be seen by an observer first must be removed.
Nadia Magnenat-Thalmann, Daniel Thalmann
openaire   +1 more source

Conversion of sub-surface reflectances to above-surface MERIS reflectance

International Journal of Remote Sensing, 2009
Factors for converting sub-surface reflectances to above-surface MERIS reflectances have been determined both as analytic functions and average numbers for solar zenith angles in the range 30°–75°, wind speeds up to 10 m s−1, and the spectral domain 400–700 nm. The conversion factors have been obtained by numerical and statistical computations based on
Aas, E.   +2 more
openaire   +2 more sources

Surface differential reflectivity spectroscopy of semiconductor surfaces

Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films, 1987
An overview of the method of surface differential reflectivity (SDR) for the study of semiconductor surfaces is presented. This includes the principles of the technique, the experimental apparatus, and some theoretical considerations concerning the connection of SDR data with the microscopic properties of the surface.
Selci S   +5 more
openaire   +3 more sources

Sea surface infrared emissivity with surface reflection

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Sea surface infrared emissivity is an important parameter in oceanic remote sensing. Early models of sea surface infrared emissivity ignored the surface reflections, leading to an underestimation with measurements over 0.02 in the 8–12 µm wavelength window for large zenith observation angles.
Hongkun Li   +2 more
openaire   +2 more sources

Reflectivity of a slightly rough surface

Applied Optics, 1987
The total integrated reflectivity of a slightly rough dielectric surface is studied by the Rayleigh-Rice method. Special emphasis is laid on the correct second-order terms of the perturbation expansion; this is important for correlation lengths of the surface structure comparable to the wavelength.
openaire   +2 more sources

Polarized infrared reflectivity of one-dimensional Gaussian sea surfaces with surface reflections

Applied Optics, 2013
Sea surface infrared reflectivity is an important parameter in maritime remote sensing. Usually, single reflection by the sea surface is considered. However, a loss of energy is then reported for large zenith observation angles (θ>50°) with a peak of about 4% for θ≈80°, because of the neglect of the multiple surface reflections.
Li, Hongkun   +2 more
openaire   +4 more sources

Surface reflection: physical and geometrical perspectives

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991
Robotics ...
Shree K. Nayar   +2 more
openaire   +1 more source

Polarized infrared reflectivity of 2D sea surfaces with two surface reflections

Remote Sensing of Environment, 2014
Sea surface infrared reflectivity is an important parameter in oceanic remote sensing. Most analytical models consider single surface reflections, and the polarization is usually ignored. However, a loss of energy is reported for large observation angles (θ > 50°) because multiple surface reflections are ignored.
Li, Hongkun   +2 more
openaire   +2 more sources

On systems of plane reflecting surfaces

Transactions of the Optical Society, 1928
An algebraic method is evolved of finding the coordinates of the image of any point and of the direction of the emergent portion of any given incident ray after reflection at any number of plane reflecting surfaces. Systems of reflectors are classified according to the nature of the self-conjugate region of the field.
openaire   +1 more source

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