9.1.3.4 Surface Roughness, Rough Surfaces

Torrance, K.E., and Sparrow, E.M.,
Theory for Off-Specular Reflection from Roughened Surfacesw,
JOSA(57), 1967, pp. 1105-1114. (
See also Polarization, Direction Distribution, and Off-Specular Peak Phenomena in Light Reflected from Roughened Surfaces. ) BibRef 6700

Stone, R.A., Shafer, S.A.,
Determination of Surface-Roughness from Reflected Step Edges,
JOSA-A(11), No. 11, November 1994, pp. 2969-2980. BibRef 9411
And: CMU-RI-TR-93-25, November 1993. BibRef

Stone, R.A.,
Roughness and Reflection in Machine Vision,
CMU-RI-TR-94-41, July 1994. BibRef 9407 Ph.D.Six parameter model of reflected step edges. BibRef

Philipp, S., Smadja, M.,
Approximation of Granular Textures by Quadric Surfaces,
PR(27), No. 8, August 1994, pp. 1051-1063.
Elsevier DOI approximation by elliptic paraboloids. BibRef 9408

Kaplan, L.M., Kuo, C.C.J.,
Texture Roughness Analysis and Synthesis Via Extended Self-Similar (ESS) Model,
PAMI(17), No. 11, November 1995, pp. 1043-1056.
IEEE DOI BibRef 9511
And: Correction to figure labels: PAMI(18), No. 1, January 1996, pp. 92-92.
IEEE Top Reference. Fractals. BibRef

Nayar, S.K., and Oren, M.,
Visual Appearance of Matte Surfaces,
Science(267), No. 5201, February 24, 1995, pp. 1153-1156. BibRef 9502
Earlier: A2, A1:
Diffuse Reflectance from Rough Surfaces,
CVPR93(763-764).
IEEE DOI The rougher the surface the more uniform the appearance. It is a non-Lambertian surface due to roughness. BibRef

Jeulin, D., Laurenge, P.,
Simulation of Rough Surfaces by Morphological Random Functions,
JEI(6), No. 1, January 1997, pp. 16-30. 9807
BibRef

Jandhyala, V., Michielssen, E., Balasubramaniam, S., Chew, W.C.,
A Combined Steepest Descent-Fast Multipole Algorithm for the Fast Analysis of 3-Dimensional Scattering by Rough Surfaces,
GeoRS(36), No. 3, May 1998, pp. 738-748.
IEEE Top Reference. 9806
BibRef

Koenderink, J.J.[Jan J.],
Pictorial Relief,
Royal(356), No. 1740, 1998, pp. 1071-1086. Math., Phys, and Engineering Sciences BibRef 9800

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.], Christou, C.G.[Chris G.], Lappin, J.S.[Joseph S.],
Shape Constancy in Pictorial Relief,
ORCV96(151) BibRef 9600
And: Perception(25), 1996, pp. 155-164. 9611
BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.],
Relief: Pictorial and Otherwise,
IVC(13), No. 5, June 1995, pp. 321-334.
Elsevier DOI BibRef 9506
Earlier: BMVC94(xx-yy).
PDF File. 9409
BibRef

Tsai, D.M.[Du-Ming], Tseng, C.F.[Chi-Fong],
Surface roughness classification for castings,
PR(32), No. 3, March 1999, pp. 389-405.
Elsevier DOI roughness of metal castings. BibRef 9903

Solomon, F., and Ikeuchi, K.,
Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo,
PAMI(18), No. 4, April 1996, pp. 449-454.
IEEE DOI BibRef 9604
Earlier: CVPR92(466-471).
IEEE DOI BibRef
And: CMU-RI-TR--91-17, October 1991. Photometric Stereo, Four Lights. BibRef

Kiuchi, T., and Ikeuchi, K.,
Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method,
CVPR93(765-766).
IEEE DOI BibRef 9300

Burova, M., Burov, J.,
Holographic Method for Reconstruction of Random Rough Surface,
RealTimeImg(4), No. 2, April 1998, pp. 159-164. 9806
BibRef

McGunnigle, G., Chantler, M.J.,
Rotation invariant classification of rough surfaces,
VISP(146), No. 6, December 1999, pp. 345. 0003
BibRef

McGunnigle, G., Chantler, M.J.,
Rough surface classification using point statistics from photometric stereo,
PRL(21), No. 6-7, June 2000, pp. 593-604. 0006

See also Resolving handwriting from background printing using photometric stereo. BibRef

McGunnigle, G., Chantler, M.J.,
Comparison of three rough surface classifiers,
VISP(149), No. 5, October 2002, pp. 263-271.
IEEE Top Reference. 0304
BibRef
Earlier:
A Comparison of Three Rough Surface Classifiers,
BMVC01(Poster Session 2. and Demonstrations).
HTML Version. Heriot Watt University 0110
IRIS (
See also Robust Relation-Invariant Texture Classification: Wavelet, Gabor Filter and GMRF Based Schemes. ). point (
See also Rough surface classification using point statistics from photometric stereo. ). SiRIS (
See also Rotation invariant classification of rough surfaces. ). The last is the best. BibRef

McGunnigle, G., Chantler, M.J.,
Segmentation of Rough Surfaces using Reflectance,
BMVC01(Session 4: Segmentation).
HTML Version. Heriot Watt University 0110
BibRef

McGunnigle, G.,
Shape recovery of anisotropic metal surfaces,
JOSA-A(26), No. 10, October 2009, pp. 2235-2242.
WWW Link. 0910
BibRef

Suen, P.H.[Pei-Hsiu], Healey, G.[Glenn],
Modeling and classifying color textures using random fields in a random environment,
PR(32), No. 6, June 1999, pp. 1009-1017.
Elsevier DOI Color texture. BibRef 9906

Suen, P.H.[Pei-Hsiu], Healey, G.[Glenn],
The Analysis and Recognition of Real-World Textures in Three Dimensions,
PAMI(22), No. 5, May 2000, pp. 491-503.
IEEE DOI 0008
Multi-band correlation model. Recognize rough surface textures over wide range of conditions. BibRef

Li, S.Q., Chan, C.H., Tsang, L., Li, Q., Lin, L.,
Parallel Implementation of the Sparse-Matrix/Canonical Grid Method for the Analysis of Two-Dimensional Random Rough Surfaces (Three-Dimensional Scattering Problem) on a Beowulf System,
GeoRS(38), No. 4, July 2000, pp. 1600-1608.
IEEE Top Reference. 0008
BibRef

West, J.C.,
Integral Equation Formulation for Iterative Calculation of Scattering from Lossy Rough Surfaces,
GeoRS(38), No. 4, July 2000, pp. 1609-1615.
IEEE Top Reference. 0008
BibRef

Cywiak, M.[Moisés], Murakowski, J.[Janusz], Wade, G.[Glen],
Beam blocking method for optical characterization of surfaces,
IJIST(11), No. 3, 2000, pp. 164-169. 0102
BibRef

Baghdadi, N., Paillou, P., Grandjean, G., Dubois, P., Davidson, M.,
Relationship between profile length and roughness variables for natural surfaces,
JRS(21), No. 17, November 2000, pp. 3375-3381. 0102
BibRef

Muller, J.P., Kim, J.R., Tong, L.,
Automated Mapping of Surface Roughness and Landuse from Simulated and Spaceborne 1M Data,
Ascona01(369-379). Use the 1M data and 1M DSM or also use the 4M multispectral. 0201
BibRef

Bustos, O.H.[Oscar H.], Lucini, M.M.[María Magdalena], Frery, A.C.[Alejandro C.],
M-Estimators of Roughness and Scale for GA0-Modelled SAR Imagery,
JASP(2002), No. 1 2002, pp. 105-114. 0201
BibRef

Barsky, S.[Svetlana], Petrou, M.[Maria],
The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows,
PAMI(25), No. 10, October 2003, pp. 1239-1252.
IEEE Abstract. 0310
BibRef
Earlier:
Colour Photometric Stereo: Simultaneous Reconstruction of Local Gradient and Colour of Rough Textured Surfaces,
ICCV01(II: 600-605).
IEEE DOI 0106
BibRef
And: A2, A1:
Shadows and Highlights Detection in 4-source Colour Photometric Stereo,
ICIP01(III: 967-970).
IEEE DOI 0108
Separate local gradient (shape) and Lambertian color. Surface is sum of Lambertian and specular components. Exclude shadows and highlights. BibRef

Barsky, S.[Svetlana], Petrou, M.[Maria],
The Shadow Function for Rough Surfaces,
JMIV(23), No. 3, November 2005, pp. 281-295.
Springer DOI 0510
BibRef

Barsky, S.[Svetlana], Petrou, M.[Maria],
Design Issues for a Colour Photometric Stereo System,
JMIV(24), No. 1, January 2006, pp. 143-162.
Springer DOI 0605
BibRef

Barsky, S.[Svetlana], Petrou, M.[Maria],
Surface Texture Using Photometric Stereo Data: Classification and Direction of Illumination Detection,
JMIV(29), No. 2-3, November 2007, pp. 185-204.
Springer DOI 0712
BibRef

Argyriou, V.[Vasileios], Petrou, M.[Maria], Barsky, S.[Svetlana],
Photometric stereo with an arbitrary number of illuminants,
CVIU(114), No. 8, August 2010, pp. 887-900.
Elsevier DOI 1007
BibRef
Earlier: A1, A3, A2:
Generalisation of Photometric Stereo technique to Q-illuminants,
BMVC08(xx-yy).
PDF File. 0809
Photometric stereo; Phong model; Highlights identification; Shadow identification BibRef

Argyriou, V.[Vasileios], Petrou, M.[Maria],
Recursive photometric stereo when multiple shadows and highlights are present,
CVPR08(1-6).
IEEE DOI 0806
BibRef

Kovalev, V.A.[Vassili A.], Petrou, M.[Maria], Bondar, Y.S.[Yaroslav S.],
3D Surface roughness quantification,
BMVC97(xx-yy).
HTML Version. 0209
BibRef

Cula, O.G.[Oana G.], Dana, K.J.[Kristin J.],
3D Texture Recognition Using Bidirectional Feature Histograms,
IJCV(59), No. 1, August 2004, pp. 33-60.
DOI Link 0404
BibRef
Earlier:
Compact Representation of Bidirectional Texture Functions,
CVPR01(I:1041-1047).
IEEE DOI 0110
Viewing and illumination variations for rough surfaces. BibRef

Cula, O.G.[Oana G.], Dana, K.J.[Kristin J.], Murphy, F.P.[Frank P.], Rao, B.K.[Babar K.],
Skin Texture Modeling,
IJCV(62), No. 1-2, April-May 2005, pp. 97-119.
DOI Link 0411
From different illumination and viewing angles. BibRef

Cula, O.G., Dana, K.D.,
Image-based Skin Analysis,
Texture02(35-40). 0207
BibRef

Dana, K.J.[Kristin J.], Cula, O.G.[Oana G.], Wang, J.[Jing],
Surface detail in computer models,
IVC(25), No. 7, 1 July 2007, pp. 1037-1049.
Elsevier DOI 0705
Surface models; Texture; Reflectance; Illumination; BRDF; BTF; Image-based models; Appearance-based models BibRef

Pont, S.C.[Sylvia C.], Koenderink, J.J.[Jan J.],
Bidirectional Texture Contrast Function,
IJCV(62), No. 1-2, April-May 2005, pp. 17-34.
DOI Link 0411
BibRef
Earlier: ECCV02(IV: 808 ff.).
Springer DOI 0205
BibRef

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
Surface radiance correction for shape from shading,
PR(38), No. 10, October 2005, pp. 1574-1595.
Elsevier DOI 0508
BibRef
Earlier:
Fresnel Correction of the Beckmann Model,
BMVC04(xx-yy).
HTML Version. 0508
Reconstruct the Lambertian component for rough and shiny surfaces when the object is illuminated in the viewing direction.
See also Generalization of the Lambertian Model and Implications for Machine Vision. BibRef

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
Incorporating Subsurface Attenuation into the Beckmann Model,
ICIP05(II: 450-453).
IEEE DOI 0512
BibRef
And:
Adding Subsurface Attenuation to the Beckmann-Kirchhoff Theory,
IbPRIA05(II:247).
Springer DOI 0509
BibRef
And:
Comparing Variants of the Beckmann Model,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
The modified Beckmann-Kirchhoff scattering theory for rough surface analysis,
PR(40), No. 7, July 2007, pp. 2004-2020.
Elsevier DOI 0704
BibRef
Earlier:
A Light Scattering Model for Layered Rough Surfaces,
ICIAR06(II: 169-180).
Springer DOI 0610
BibRef
And:
Reflectance from Surfaces with Layers of Variable Roughness,
ICPR06(I: 543-546).
IEEE DOI 0609
BibRef
And:
Rough Surface Analysis using Kirchhoff Theory,
BMVC03(xx-yy).
HTML Version. 0409
BibRef
And:
Rough Surface Estimation Using the Kirchhoff Model,
SCIA03(477-484).
Springer DOI 0310
BibRef
And:
Improving shape recovery by estimating properties of slightly-rough surfaces,
CIAP03(32-37).
IEEE DOI 0310
BibRef
Earlier:
Rough Surface Correction and Re-illumination Using the Modified Beckmann Model,
CAIP03(98-106).
Springer DOI 0311
BibRef
Earlier:
Lambertian reflectance correction for rough and shiny surfaces,
ICIP02(II: 553-556).
IEEE DOI 0210
BibRef
Earlier:
Diffuse Reflectance Models for Rough Surfaces: A Geometrical Study for Shape-from-Shading,
Texture02(113-116). 0207
Rough surface scattering; Physics-based reflectance models; Beckmann model; BRDF measurements; Roughness estimation BibRef

Hancock, E.R.,
A Reflectance Model for Radar Shape From Shading,
BMVC99(Posters/Demos).
PDF File. BibRef 9900

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
A Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries,
IJCV(79), No. 2, August 2008, pp. xx-yy.
Springer DOI 0711
BibRef
Earlier:
Reflectance Modeling for Layered Dielectrics with Rough Surface Boundaries,
3DPVT06(302-309).
IEEE DOI 0606
BibRef

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
Estimating surface characteristics using physical reflectance models,
CVPR03(II: 177-184).
IEEE DOI 0307
BibRef

Wang, J.[Jing], Dana, K.J.[Kristin J.],
Relief Texture from Specularities,
PAMI(28), No. 3, March 2006, pp. 446-457.
IEEE DOI 0602
BibRef
Earlier:
A novel approach for texture shape recovery,
ICCV03(1374-1380).
IEEE DOI 0311
fine-surface geometry (roughness). specialized imaging device with a concave parabolic mirror to view multiple angles in a single image.
See also 3D Texture Recognition Using Bidirectional Feature Histograms. BibRef

Dana, K.J.[Kristin J.],
BRDF/BTF Measurement Device,
ICCV01(II: 460-466).
IEEE DOI 0106
Use a parabolic mirror to capture the information. BibRef

Abo-Seida, O.M., Bishay, S.T., El-Morabie, K.M.,
Far-Field Radiated From a Vertical Magnetic Dipole in the Sea With a Rough Upper Surface,
GeoRS(44), No. 8, August 2006, pp. 2135-2142.
IEEE DOI 0608
BibRef

Tabatabaeenejad, A., Moghaddam, M.,
Bistatic Scattering From Three-Dimensional Layered Rough Surfaces,
GeoRS(44), No. 8, August 2006, pp. 2102-2114.
IEEE DOI 0608
BibRef

Duan, X., Moghaddam, M.,
Bistatic Vector 3-D Scattering From Layered Rough Surfaces Using Stabilized Extended Boundary Condition Method,
GeoRS(51), No. 5, May 2013, pp. 2722-2733.
IEEE DOI 1305
BibRef

Tabatabaeenejad, A., Duan, X., Moghaddam, M.,
Coherent Scattering of Electromagnetic Waves from Two-Layer Rough Surfaces Within the Kirchhoff Regime,
GeoRS(51), No. 7, 2013, pp. 3943-3953.
IEEE DOI 1307
Rough surfaces; Soil moisture; Surface roughness;trunk-ground double bounce BibRef

Duan, X., Moghaddam, M.,
Full-Wave Electromagnetic Scattering From Rough Surfaces With Buried Inhomogeneities,
GeoRS(55), No. 6, June 2017, pp. 3338-3353.
IEEE DOI 1706
Electromagnetic scattering, Media, Permittivity, Rough surfaces, Surface roughness, Vegetation mapping, Electromagnetic scattering, extended boundary condition method (EBCM), generalized iterative extended boundary condition method (GIEBCM), inhomogeneous media, root scattering, scattering, matrix, (S-matrix) BibRef

Li, Y., West, J.C.,
Low-Grazing-Angle Scattering From 3-D Breaking Water Wave Crests,
GeoRS(44), No. 8, August 2006, pp. 2093-2101.
IEEE DOI 0608
BibRef

Fuks, I.M.[Iosif M.], Charnotskii, M.I.[Mikhail I.],
Statistics of specular points at a randomly rough surface,
JOSA-A(23), No. 1, January 2006, pp. 73-80.
WWW Link. 0610
BibRef

Inan, K., Erturk, V.B.,
Application of Iterative Techniques for Electromagnetic Scattering From Dielectric Random and Reentrant Rough Surfaces,
GeoRS(44), No. 11, November 2006, pp. 3320-3329.
IEEE DOI 0611
BibRef

Al-Kindi, G.A.[Ghassan A.], Shirinzadeh, B.[Bijan],
Feasibility assessment of vision-based surface roughness parameters acquisition for different types of machined specimens,
IVC(27), No. 4, 3 March 2009, pp. 444-458.
Elsevier DOI 0804
Vision-based topography; Image texture; Roughness parameters; Surface measurement BibRef

Park, S.E., Moon, W.M., Kim, D.,
Estimation of Surface Roughness Parameter in Intertidal Mudflat Using Airborne Polarimetric SAR Data,
GeoRS(47), No. 4, April 2009, pp. 1022-1031.
IEEE DOI 0903
BibRef

Park, S.E.[Sang-Eun],
The Effect of Topography on Target Decomposition of Polarimetric SAR Data,
RS(7), No. 5, 2015, pp. 4997-5011.
DOI Link 1506

See also Assessment of Scattering Mechanism of Polarimetric SAR Signal From Mountainous Forest Areas. BibRef

Zribi, M., Le Morvan-Quemener, A., Dechambre, M., Baghdadi, N.,
Numerical Backscattering Analysis for Rough Surfaces Including a Cloddy Structure,
GeoRS(48), No. 5, May 2010, pp. 2367-2374.
IEEE DOI 1006
Radar, not visible light.? BibRef

de Mesquita Sá Junior, J.J.[Jarbas Joaci], Backes, A.R.[André Ricardo],
A simplified gravitational model to analyze texture roughness,
PR(45), No. 2, February 2012, pp. 732-741.
Elsevier DOI 1110
Texture analysis; Simplified gravitational system; Complexity; Bouligand-Minkowski fractal dimension BibRef

Hollaus, M., Aubrecht, C., Höfle, B., Steinnocher, K., Wagner, W.,
Roughness Mapping on Various Vertical Scales Based on Full-Waveform Airborne Laser Scanning Data,
RS(3), No. 3, March 2011, pp. 503-523.
DOI Link 1203
BibRef

Jain, S., Papadakis, M., Upadhyay, S., Azencott, R.,
Rigid-Motion-Invariant Classification of 3-D Textures,
IP(21), No. 5, May 2012, pp. 2449-2463.
IEEE DOI 1204
BibRef

Marzahn, P., Seidel, M., Ludwig, R.,
Decomposing Dual Scale Soil Surface Roughness for Microwave Remote Sensing Applications,
RS(4), No. 7, July 2012, pp. 2016-2032.
DOI Link 1208
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Marzahn, P.[Philip], Rieke-Zapp, D.H.[Dirk H.], Ludwig, R.[Ralf],
Assessment of Soil Surface Roughness Statistics for Microwave Remote Sensing Applications Using a Simple Photogrammetric Acquisition System,
PandRS(72), No. 1, August 2012, pp. August 2012, 80-89.
Elsevier DOI 1209
Photogrammetry; Soil surface roughness; Remote sensing; SAR; Soil science BibRef

Marzahn, P., Rieke-Zapp, D.H., Wegmuller, U., Ludwig, R.,
Multidimensional Roughness Characterization for Microwave Remote Sensing Applications Using A Simple Photogrammetric Acquisition System,
ISPRS12(XXXIX-B5:423-428).
DOI Link 1209
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Perna, S., Iodice, A.,
An Algorithm for Efficient and Effective Evaluation of Scattering From Fractal Surfaces,
GeoRS(50), No. 9, September 2012, pp. 3554-3566.
IEEE DOI 1209
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Yang, G., Du, Y.,
A Robust Preconditioned GMRES Method for Electromagnetic Scattering From Dielectric Rough Surfaces,
GeoRS(50), No. 9, September 2012, pp. 3396-3408.
IEEE DOI 1209
BibRef

Yang, G., Du, Y.,
An Optimized Monte Carlo Procedure and Its Application in Electromagnetic Scattering From Rough Surfaces,
GeoRS(52), No. 5, May 2014, pp. 2607-2616.
IEEE DOI 1403
Correlation BibRef

Demir, M.A., Johnson, J.T., Zajdel, T.J.,
A Study of the Fourth-Order Small Perturbation Method for Scattering From Two-Layer Rough Surfaces,
GeoRS(50), No. 9, September 2012, pp. 3374-3382.
IEEE DOI 1209
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Khankhoje, U.K., van Zyl, J.J., Cwik, T.A.,
Computation of Radar Scattering From Heterogeneous Rough Soil Using the Finite-Element Method,
GeoRS(51), No. 6, 2013, pp. 3461-3469.
IEEE DOI 1307
Monte Carlo methods; hydrological techniques; moisture; soil moisture; Rough surfaces BibRef

Whelley, P.L., Glaze, L.S., Calder, E.S., Harding, D.J.,
LiDAR-Derived Surface Roughness Texture Mapping: Application to Mount St. Helens Pumice Plain Deposit Analysis,
GeoRS(52), No. 1, January 2014, pp. 426-438.
IEEE DOI 1402
optical radar BibRef

Qi, L.[Lin], Chantler, M.J.[Mike J.], Siebert, J.P.[J. Paul], Dong, J.Y.[Jun-Yu],
Why do rough surfaces appear glossy?,
JOSA-A(31), No. 5, May 2014, pp. 935-943.
DOI Link 1405
Vision, color, and visual optics BibRef

Wei, P.B.[Peng-Bo], Zhang, M.[Min], Sun, R.Q.[Rong-Qing], Yuan, X.F.[Xiao-Feng],
Scattering Studies for Two-Dimensional Exponential Correlation Textured Rough Surfaces Using Small-Slope Approximation Method,
GeoRS(52), No. 9, September 2014, pp. 5364-5373.
IEEE DOI 1407
correlation methods BibRef

Snapir, B., Hobbs, S., Waine, T.W.,
Roughness measurements over an agricultural soil surface with Structure from Motion,
PandRS(96), No. 1, 2014, pp. 210-223.
Elsevier DOI 1410
Photogrammetry BibRef

Gelbaum, Z., Titus, M.,
Simulation of Fractional Brownian Surfaces via Spectral Synthesis on Manifolds,
IP(23), No. 10, October 2014, pp. 4383-4388.
IEEE DOI 1410
Simulate fractal surfaces as random series of eigenfunctions. Brownian motion BibRef

Grims, M.[Michael], Atzberger, C.[Clement], Bauer, T.[Thomas], Strauss, P.[Peter], Mansberger, R.[Reinfried],
Low-cost Terrestrial Photogrammetry as a Tool for a Sample-Based Assessment of Soil Roughness,
PFG(2014), No. 5, 2014, pp. 313-323.
DOI Link 1411
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Liang, C.[Chao], Yang, W.M.[Wen-Ming], Zhou, F.[Fei], Liao, Q.M.[Qing-Min],
Roughness Classification with Aggregated Discrete Fourier Transform,
IEICE(E97-D), No. 10, October 2014, pp. 2769-2779.
WWW Link. 1411
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Barzegar-Parizi, S., Shishegar, A.A.,
Electromagnetic Wave Scattering Analysis From 2-D Periodic Rough Surfaces Using Complex Images Technique,
GeoRS(53), No. 2, February 2015, pp. 862-868.
IEEE DOI 1411
Green's function methods BibRef

Wang, Y.H.[Yin-Hui], Du, Y.[Yang],
Extension of the Spectral Acceleration Method to Lossy Medium and Its Application to Electromagnetic Scattering From Rough Surfaces,
GeoRS(53), No. 4, April 2015, pp. 1865-1875.
IEEE DOI 1502
Green's function methods BibRef

Guerin, C.A., Johnson, J.T.,
A Simplified Formulation for Rough Surface Cross-Polarized Backscattering Under the Second-Order Small-Slope Approximation,
GeoRS(53), No. 11, November 2015, pp. 6308-6314.
IEEE DOI 1509
Gaussian distribution BibRef

Toro, C.A.O.[César Antonio Ortiz], Martín, C.G.[Consuelo Gonzalo], Pedrero, Á.G.[Ángel García], Ruiz, E.M.[Ernestina Menasalvas],
Superpixel-Based Roughness Measure for Multispectral Satellite Image Segmentation,
RS(7), No. 11, 2015, pp. 14620.
DOI Link 1512
BibRef

Liao, T.H.[Tien-Hao], Tsang, L.[Leung], Huang, S.[Shaowu], Niamsuwan, N.[Noppasin], Jaruwatanadilok, S.[Sermsak], Kim, S.B.[Seung-Bum], Ren, H.[Hsuan], Chen, K.L.[Kuan-Liang],
Copolarized and Cross-Polarized Backscattering From Random Rough Soil Surfaces From L-Band to Ku-Band Using Numerical Solutions of Maxwell's Equations With Near-Field Precondition,
GeoRS(54), No. 2, February 2016, pp. 651-662.
IEEE DOI 1601
Computational modeling BibRef

Shao, X.[Xi], Cao, C.Y.[Chang-Yong], Liu, T.C.[Tung-Chang],
Spectral Dependent Degradation of the Solar Diffuser on Suomi-NPP VIIRS Due to Surface Roughness-Induced Rayleigh Scattering,
RS(8), No. 3, 2016, pp. 254.
DOI Link 1604
BibRef

Barber, M.E.[Matías Ernesto], Grings, F.M.[Francisco Matías], Álvarez-Mozos, J.[Jesús], Piscitelli, M.[Marcela], Perna, P.A.[Pablo Alejandro], Karszenbaum, H.[Haydee],
Effects of Spatial Sampling Interval on Roughness Parameters and Microwave Backscatter over Agricultural Soil Surfaces,
RS(8), No. 6, 2016, pp. 458.
DOI Link 1608
BibRef

Chen, M., Weng, F.,
Modeling Land Surface Roughness Effect on Soil Microwave Emission in Community Surface Emissivity Model,
GeoRS(54), No. 3, March 2016, pp. 1716-1726.
IEEE DOI 1603
Land surface BibRef

Faivre, R.[Robin], Colin, J.[Jérôme], Menenti, M.[Massimo],
Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef
And: Addendum: RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Zeng, J., Chen, K.S., Bi, H., Zhao, T., Yang, X.,
A Comprehensive Analysis of Rough Soil Surface Scattering and Emission Predicted by AIEM With Comparison to Numerical Simulations and Experimental Measurements,
GeoRS(55), No. 3, March 2017, pp. 1696-1708.
IEEE DOI 1703
Analytical models BibRef

Ghafouri, A.[Ali], Amini, J.[Jalal], Dehmollaian, M.[Mojtaba], Kavoosi, M.A.[Mohammad Ali],
Better Estimated IEM Input Parameters Using Random Fractal Geometry Applied on Multi-Frequency SAR Data,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
IEM: Integral Equation Model for copolarized data. BibRef

Ding, M.[Meng], Li, J.L.[Jian-Liang], Liu, K.[Keji], Yang, J.Q.[Jia-Qing],
Imaging of Local Rough Surfaces by the Linear Sampling Method with Near-Field Data,
SIIMS(10), No. 3, 2017, pp. 1579-1602.
DOI Link 1710
BibRef

Xu, D.[Di], Duan, Q.[Qi], Zheng, J.M.[Jian-Ming], Zhang, J.Y.[Ju-Yong], Cai, J.F.[Jian-Fei], Cham, T.J.[Tat-Jen],
Shading-Based Surface Detail Recovery Under General Unknown Illumination,
PAMI(40), No. 2, February 2018, pp. 423-436.
IEEE DOI 1801
BibRef
Earlier:
Recovering Surface Details under General Unknown Illumination Using Shading and Coarse Multi-view Stereo,
CVPR14(1526-1533)
IEEE DOI 1409
Geometry, Image reconstruction, Lighting, Shape, Surface reconstruction, Surface treatment, spatially varying albedo BibRef

Cao, W., Cai, Z., Ye, B.,
Measuring Multiresolution Surface Roughness Using V-System,
GeoRS(56), No. 3, March 2018, pp. 1497-1506.
IEEE DOI 1804
altimeters, digital elevation models, lunar surface, planetary surfaces, surface roughness, surface roughness BibRef

Liu, Y.[Yu], Chen, K.S.[Kun-Shan],
An Information Entropy-Based Sensitivity Analysis of Radar Sensing of Rough Surface,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Liu, X., Zhang, B., Zhang, H.,
A Direct Imaging Method for Inverse Scattering by Unbounded Rough Surfaces,
SIIMS(11), No. 2, 2018, pp. 1629-1650.
DOI Link 1807
BibRef

Fan, L.[Lei], Atkinson, P.M.[Peter M.],
A new multi-resolution based method for estimating local surface roughness from point clouds,
PandRS(144), 2018, pp. 369-378.
Elsevier DOI 1809
Laser scanning, Point cloud, Terrain surface roughness, DEM error BibRef

Matsumoto, H.[Hironori], Young, A.P.[Adam P.],
Automated Cobble Mapping of a Mixed Sand-Cobble Beach Using a Mobile LiDAR System,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Maurer, D.[Daniel], Ju, Y.C.[Yong Chul], Breuß, M.[Michael], Bruhn, A.[Andrés],
Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo,
IJCV(126), No. 12, December 2018, pp. 1342-1366.
Springer DOI 1811
BibRef
Earlier:
Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo,
BMVC16(xx-yy).
HTML Version. 1805
BibRef
Earlier:
An Efficient Linearisation Approach for Variational Perspective Shape from Shading,
GCPR15(249-261).
Springer DOI 1511
BibRef
Earlier: A2, A4, A3, Only:
Variational Perspective Shape from Shading,
SSVM15(538-550).
Springer DOI 1506
BibRef

Ju, Y.C.[Yong Chul], Tozza, S.[Silvia], Breuss, M.[Michael], Bruhn, A.[Andres], Kleefeld, A.[Andreas],
Generalised Perspective Shape from Shading with Oren-Nayar Reflectance,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Galliani, S.[Silvano], Ju, Y.C.[Yong Chul], Breuß, M.[Michael], Bruhn, A.[Andrés],
Generalised Perspective Shape from Shading in Spherical Coordinates,
SSVM13(222-233).
Springer DOI 1305
BibRef

Ju, Y.C.[Yong Chul], Breuss, M.[Michael], Bruhn, A.[Andres], Galliani, S.[Silvano],
Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model,
BMVC12(104).
DOI Link 1301
BibRef

Galliani, S.[Silvano], Breuss, M.[Michael], Ju, Y.C.[Yong Chul],
Fast and Robust Surface Normal Integration by a Discrete Eikonal Equation,
BMVC12(106).
DOI Link 1301
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Sadeh, Y.[Yuval], Cohen, H.[Hai], Maman, S.[Shimrit], Blumberg, D.G.[Dan G.],
Evaluation of Manning's n Roughness Coefficient in Arid Environments by Using SAR Backscatter,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Gharechelou, S.[Saeid], Tateishi, R.[Ryutaro], Johnson, B.A.[Brian A.],
A Simple Method for the Parameterization of Surface Roughness from Microwave Remote Sensing,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wu, J.[Jiang], Yang, Q.[Qinke], Li, Y.[Yuru],
Partitioning of Terrain Features Based on Roughness,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Xu, X., Zhang, B., Zhang, H.,
Uniqueness and Direct Imaging Method for Inverse Scattering by Locally Rough Surfaces with Phaseless Near-Field Data,
SIIMS(12), No. 1, 2019, pp. 119-152.
DOI Link 1904
BibRef

Comite, D., Pierdicca, N.,
Monostatic and Bistatic Scattering Modeling of the Anisotropic Rough Soil,
GeoRS(57), No. 5, May 2019, pp. 2543-2556.
IEEE DOI 1905
electromagnetic wave scattering, moisture, radar cross-sections, radar imaging, remote sensing by radar, rough surfaces, soil, remote sensing BibRef

Wu, J.[Jiang], Fang, J.J.[Jun-Jie], Tian, J.B.[Jiang-Bo],
Terrain Representation and Distinguishing Ability of Roughness Algorithms Based on DEM with Different Resolutions,
IJGI(8), No. 4, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Nayak, S.R.[Soumya Ranjan], Mishra, J.[Jibitesh], Palai, G.[Gopinath],
Analysing roughness of surface through fractal dimension: A review,
IVC(89), 2019, pp. 21-34.
Elsevier DOI 1909
Fractal dimension, Box counting method, Dividers method, Probability density function, Color fractal dimension BibRef

Gao, P.C.[Pei-Chao], Cushman, S.A.[Samuel A.], Liu, G.[Gang], Ye, S.J.[Si-Jing], Shen, S.[Shi], Cheng, C.X.[Chang-Xiu],
FracL: A Tool for Characterizing the Fractality of Landscape Gradients from a New Perspective,
IJGI(8), No. 10, 2019, pp. xx-yy.
DOI Link 1910
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Ghodrati, S.[Sajjad], Kandi, S.G.[Saeideh Gorji], Mohseni, M.[Mohsen],
How accurately do different computer-based texture characterization methods predict material surface coarseness? A guideline for effective online inspection,
JOSA-A(35), No. 5, May 2018, pp. 712-725.
DOI Link 1912
Digital image processing, Image analysis, Industrial inspection, Roughness, Visual system BibRef

Stilla, D.[Donato], Zribi, M.[Mehrez], Pierdicca, N.[Nazzareno], Baghdadi, N.[Nicolas], Huc, M.[Mireille],
Desert Roughness Retrieval Using CYGNSS GNSS-R Data,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Yang, Y., Chen, K., Li, Z.,
A Note on Brewster Effect for Lossy Inhomogeneous Rough Surfaces,
GeoRS(58), No. 9, September 2020, pp. 6722-6730.
IEEE DOI 2008
Rough surfaces, Surface roughness, Dielectrics, Surface waves, Scattering, Sea surface, Nonhomogeneous media, Dielectric profile, rough surface BibRef

Zuo, Z.Q.[Zhi-Qiang], Tang, X.M.[Xin-Ming], Li, G.Y.[Guo-Yuan], Ma, Y.[Yue], Zhang, W.H.[Wen-Hao], Li, S.[Song],
Inversion of Terrain Slope and Roughness with Satellite Laser Altimeter Full-Waveform Data Assisted by Shuttle Radar Topographic Mission,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Li, F.X.[Fang-Xin], Li, H.[Heng], Kim, M.K.[Min-Koo], Lo, K.C.[King-Chi],
Laser Scanning Based Surface Flatness Measurement Using Flat Mirrors for Enhancing Scan Coverage Range,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Jiang, R.[Rui], Chen, K.S.[Kun-Shan], Li, Z.L.[Zhao-Liang], Du, G.Y.[Gen-Yuan], Tian, W.J.[Wen-Jing],
Entropy Measure of Generating Random Rough Surface for Numerical Simulation of Wave Scattering,
GeoRS(59), No. 5, May 2021, pp. 3623-3641.
IEEE DOI 2104
Rough surfaces, Surface roughness, Entropy, Sea surface, Correlation, Scattering, Energy conservation, Power density functions, sample entropy BibRef

Trepekli, K.[Katerina], Friborg, T.[Thomas],
Deriving Aerodynamic Roughness Length at Ultra-High Resolution in Agricultural Areas Using UAV-Borne LiDAR,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Singh, A.[Abhilash], Gaurav, K.[Kumar], Rai, A.K.[Atul Kumar], Beg, Z.[Zafar],
Machine Learning to Estimate Surface Roughness from Satellite Images,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Yan, K.[Kai], Li, H.[Hanliang], Song, W.[Wanjuan], Tong, Y.[Yiyi], Hao, D.L.[Da-Lei], Zeng, Y.[Yelu], Mu, X.[Xihan], Yan, G.J.[Guang-Jian], Fang, Y.[Yuan], Myneni, R.B.[Ranga B.], Schaaf, C.[Crystal],
Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
MODIS, Kernel, Biological system modeling, Surface topography, Land surface, Data models, Scattering, topographic effects BibRef

Chiang, C.Y.[Cheng-Yen], Chen, K.S.[Kun-Shan], Yang, Y.[Ying], Zhang, Y.[Yang], Wu, L.B.[Ling-Bing],
Radar Imaging Statistics of Non-Gaussian Rough Surface: A Physics-Based Simulation Study,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
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Liu, Y.M.[Yi-Ming], Shen, C.[Chong], Chen, X.Y.[Xiao-Yang], Hong, Y.Y.[Ying-Ying], Fan, Q.[Qi], Chan, P.[Pakwai], Wang, C.L.[Chun-Lin], Lan, J.[Jing],
Satellite-Based Estimation of Roughness Length over Vegetated Surfaces and Its Utilization in WRF Simulations,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Yang, Y.[Ying], Chen, K.S.[Kun-Shan],
Disturbing Variability in Microwave Emission from a Non-Gaussian Distributed and Correlated Multiscale Rough Surface,
RS(15), No. 13, 2023, pp. 3297.
DOI Link 2307
BibRef

Arieda, K.[Kota], Okabe, T.[Takahiro],
Illumination Planning for Measuring Per-Pixel Surface Roughness,
MVA21(1-5)
DOI Link 2109
Visualization, Lighting, Estimation, Inspection, Surface roughness, Reflection BibRef

Zuo, Y., Leixy, Y., Barcelo, S.,
An Image-based Method to Predict Surface Enhanced Raman Spectroscopy Sensor Quality,
ICIP20(1871-1875)
IEEE DOI 2011
Indexes, Rough surfaces, Surface roughness, Machine vision systems, Surface Enhanced Raman spectroscopy, automated non-destructive quality control BibRef

Bitenc, M., Kieffer, D.S., Khoshelham, K.,
Potential and Limitations of Terrestrial Laser Scanning For Discontinuity Roughness Estimation,
Laser19(935-941).
DOI Link 1912
BibRef

Lee, S.[Seok_Yeong], Lee, S.[Seung_Kyu],
Surface IR Reflectance Estimation and Material Recognition using ToF Camera,
ICPR21(6463-6470)
IEEE DOI 2105
Reflectivity, Visualization, Estimation, Color, Cameras, Light fields BibRef

Kim, J.J.[Jung-Jun], Lim, H.[Hwasup], Ahn, S.C.[Sang Chul], Lee, S.[Seung_Kyu],
RGBD Camera Based Material Recognition via Surface Roughness Estimation,
WACV18(1963-1971)
IEEE DOI 1806
feature extraction, image colour analysis, image recognition, object recognition, surface roughness, arbitrary object, BibRef

Dahlan, H.A., Hancock, E.R.,
Absorptive scattering model for rough laminar surfaces,
ICPR16(1905-1910)
IEEE DOI 1705
Absorption, Correlation, Light scattering, Optical surface waves, Rough surfaces, Surface, roughness BibRef

Mohd Salleh, M.R., Abdul Rahman, M.Z., Abu Bakar, M.A., Rasib, A.W., Omar, H.,
Estimation of Aerodynamic Roughness and Zero Plane Displacement Using Medium Density of Airborne Lidar Data,
GGT16(217-224).
DOI Link 1612
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Zhong, G.Q.[Guo-Qiang], Mao, X.[Xin], Shi, Y.[Yaxin], Dong, J.Y.[Jun-Yu],
3D Texture Recognition for RGB-D Images,
CAIP15(II:518-528).
Springer DOI 1511
BibRef

Tsiminaki, V.[Vagia], Franco, J.S.[Jean-Sebastien], Boyer, E.[Edmond],
High Resolution 3D Shape Texture from Multiple Videos,
CVPR14(1502-1509)
IEEE DOI 1409
BibRef

Li, R.[Rui], Adelson, E.H.[Edward H.],
Sensing and Recognizing Surface Textures Using a GelSight Sensor,
CVPR13(1241-1247)
IEEE DOI 1309
local binary pattern; tactile sensing; texture recognition BibRef

Al-Kindi, G.A., Shirinzadeh, B., Zhong, Y.M.[Yong-Min],
A vision-based approach for surface roughness assessment at micro and nano scales,
ICARCV08(1903-1908).
IEEE DOI 1109
BibRef

Fukuda, H.[Hisato], Mori, S.[Satoshi], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori], Kachi, D.[Daisuke],
Object Recognition for Service Robots through Verbal Interaction Based on Ontology,
ISVC13(I:395-406).
Springer DOI 1310
BibRef

Fukuda, H.[Hisato], Mori, S.[Satoshi], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori],
Object Recognition for Service Robots through Verbal Interaction about Multiple Attribute Information,
ISVC12(I: 620-631).
Springer DOI 1209
BibRef

Mannan, M.A.[M. Abdul], Fukuda, H.[Hisato], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori],
Material Information Acquisition Using a ToF Range Sensor for Interactive Object Recognition,
ISVC11(II: 116-125).
Springer DOI 1109
BibRef

Mannan, M.A.[M. Abdul], Das, D.[Dipankar], Kobayashi, Y.[Yoshinori], Kuno, Y.[Yoshinori],
Object Material Classification by Surface Reflection Analysis with a Time-of-Flight Range Sensor,
ISVC10(II: 439-448).
Springer DOI 1011
BibRef

Petitpas, B.[Benoît], Beaudouin, L.[Laurent], Roux, M.[Michel], Rudant, J.P.[Jean-Paul],
Roughness measurement from multi-stereo reconstruction,
PCVIA10(B:104).
PDF File. 1009
Surface roughness from stereo. BibRef

Dong, J.Y.[Jun-Yu], Su, L.Y.[Li-Yuan], Duan, Y.X.[Yuan-Xu],
Illumination Estimation of 3D Surface Texture Based on Active Basis,
ICPR10(870-873).
IEEE DOI 1008
BibRef

Seppke, B.[Benjamin], Dreschler-Fischer, L.[Leonie], Heiming, J.A.[Jo-Ann], Wengenroth, F.[Felix],
Fast Derivation of Soil Surface Roughness Parameters Using Multi-band SAR Imagery and the Integral Equation Model,
ICPR10(3931-3934).
IEEE DOI 1008
BibRef

Smith, W.A.P.[William A.P.], Hancock, E.R.[Edwin R.],
Specular and diffuse reflectance in microfacet models,
ICIP09(3781-3784).
IEEE DOI 0911
BibRef
And:
A unified model of spectacular and diffuse reflectance for rough, glossy surfaces,
CVPR09(643-650).
IEEE DOI 0906
BibRef

Yi, Z.[Zhang], Rong-Gui, M.[Ma],
A study of pavement roughness measurement system based on laser ranger finder,
IASP09(295-299).
IEEE DOI 0904
BibRef

Nuikka, M.[Milka], Rönnholm, P.[Petri], Kaartinen, H.[Harri], Kukko, A.[Antero], Suominen, A.[Antti], Salo, P.[Panu], Pöntinen, P.[Petteri], Hyyppä, H.[Hannu], Hyyppä, J.[Juha], Haggrèn, H.[Henrik], Absetz, I.[Ilmari], Puttonen, J.[Jari], Hirsi, H.[Hannu],
Comparison of Three Accurate 3D Measurement Methods for Evaluating As-Built Floor Flatness,
ISPRS08(B5: 129 ff).
PDF File. 0807
BibRef

Paulhac, L.[Ludovic], Makris, P.[Pascal], Gregoire, J.M.[Jean-Marc], Ramel, J.Y.[Jean-Yves],
Human Understandable Features for Segmentation of Solid Texture,
ISVC09(I: 379-390).
Springer DOI 0911
BibRef

Paulhac, L.[Ludovic], Makris, P.[Pascal], Ramel, J.Y.[Jean-Yves],
Comparison between 2D and 3D Local Binary Pattern Methods for Characterisation of Three-Dimensional Textures,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Andrews, S.[Sheldon], Lang, J.[Jochen],
Interactive Scanning of Haptic Textures and Surface Compliance,
3DIM07(99-106).
IEEE DOI 0708
BibRef

Fehr, J.[Janis], Burkhardt, H.[Hans],
3D rotation invariant local binary patterns,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Fehr, J.[Janis], Burkhardt, H.[Hans],
Phase Based 3D Texture Features,
DAGM06(263-272).
Springer DOI 0610
BibRef

Todorovic, S.[Sinisa], Ahuja, N.[Narendra],
3D Texture Classification Using the Belief Net of a Segmentation Tree,
ICPR06(IV: 33-36).
IEEE DOI 0609
BibRef

Kalkan, S.[Sinan], Worgotter, F.[Florentin], Kruger, N.[Norbert],
Statistical Analysis of Local 3D Structure in 2D Images,
CVPR06(I: 1114-1121).
IEEE DOI 0606
BibRef

Kuparinen, T.[Toni], Rodionov, O.[Oleg], Toivanen, P.J.[Pekka J.], Mielikainen, J.[Jarno], Bochko, V.[Vladimir], Korkalainen, A.[Ate], Parviainen, J.[Juha], Vartiainen, E.[Erik],
Fractal Dimension Analysis and Statistical Processing of Paper Surface Images Towards Surface Roughness Measurement,
SCIA05(1218-1227).
Springer DOI 0506
BibRef

Jalobeanu, A.[Andre], Kuehnel, F.O.[Frank O.], Stutz, J.C.[John C.],
Modeling Images of Natural 3D Surfaces: Overview and Potential Applications,
GenModel04(188).
IEEE DOI 0406
BibRef

Anis, B., Majdi, K., Jacques, B.,
Extraction of relief information on textured and coloured rough surfaces for the optimisation of a propagation model for wireless transmission,
CRV04(336-340).
IEEE DOI 0408
BibRef

Sun, Y.L.[Yin-Long],
Self shadowing and local illumination of randomly rough surfaces,
CVPR04(I: 158-165).
IEEE DOI 0408
BibRef

Wu, J.H.[Jia-Hua], Chantler, M.J.,
Combining gradient and albedo data for rotation invariant classification of 3d surface texture,
ICCV03(848-855).
IEEE DOI 0311
BibRef

Lundberg, A.J.[Andrew J.], Wolff, L.B.[Lawrence B.], Socolinsky, D.A.[Diego A.],
New Perspectives on Geometric Reflection Theory From Rough Surfaces,
ICCV01(I: 225-232).
IEEE DOI 0106
BibRef

Chantler, M., Wu, J.,
Rotation Invariant Classification of 3D Surface Textures using Photometric Stereo and Surface Magnitude Spectra,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Refraction, Refractive Geometry .