9.1.1 Shape from Shading, General Techniques

Koenderink, J.J., and van Doorn, A.J.,
Photometric Invariants Related to Solid Shape,
Optica Acta(27), No. 7, 1980, pp. 981-996.
WWW Link. Related 3-D representations:
See also Internal Representation of Solid Shape with Respect to Vision, The. BibRef 8000

Woodham, R.J.[Robert J.],
Analysing Images of Curved Surfaces,
AI(17), No. 1-3, August 1981, pp. 117-140.
Elsevier DOI BibRef 8108
Earlier:
Relating Properties of Surface Curvature to Image Intensity,
IJCAI79(971-977). BibRef
Earlier:
A Cooperative Algorithm for Determining Surface Orientation from a Single View,
IJCAI77(635-641). Image intensities contain a lot of information about the surface. BibRef

Grossberg, S.[Stephen], Mingolla, E.[Ennio],
Neural Dynamics of Surface Perception: Boundary Webs, Illuminants, and Shape-from-Shading,
CVGIP(37), No. 1, January 1987, pp. 116-165.
Elsevier DOI BibRef 8701

Skifstad, K.D., Jain, R.,
Range Estimation from Intensity Gradient Analysis,
MVA(2), 1989, pp. 81-102. BibRef 8900

Skifstad, K.D.[Kurt D.],
High-Speed Range Estimation Based on Intensity Gradient Analysis,
New York: Springer-Verlag1991, ISBN 0-287-97479-2. Derived from his thesis. Stereo analysis. BibRef 9100

Vega, O.E., and Yang, Y.H.,
Shading Logic: A Heuristic Approach to Recover Shape from Shading,
PAMI(15), No. 6, June 1993, pp. 592-597.
IEEE DOI BibRef 9306

Blake, A.[Andrew], Zisserman, A.[Andrew], Knowles, G.[Greg],
Surface Descriptions from Stereo and Shading,
IVC(3), No. 4, November 1985, pp. 183-191.
Elsevier DOI BibRef 8511
And: SfS(Chapter 2, 29-52). BibRef

Lee, K.M., Kuo, C.C.J.,
Shape from Shading with a Generalized Reflectance Map Model,
CVIU(67), No. 2, August 1997, pp. 143-160.
DOI Link 9708
BibRef
Earlier:
Direct Surface Reconstruction from Textured Images,
SPIE(2031), 1993, pp. 146-157.
See also Shape from Shading with a Linear Triangular Element Surface Model. BibRef

Frankot, R.T., and Chellappa, R.,
A Method for Enforcing Integrability in Shape from Shading Algorithms,
PAMI(10), No. 4, July 1988, pp. 439-451.
IEEE DOI BibRef 8807
Earlier: ICCV87(118-128). This gives a general method for surface reconstructions, but applies it to shape from shading. This should make such solutions possible in more cases.
See also Estimation of Surface Topography from SAR Imagery Using Shape from Shading Techniques. BibRef

Pentland, A.P.[Alex P.],
Shading into Texture,
AI(29), No. 2, September 1986, pp. 147-170.
Elsevier DOI BibRef 8609
Earlier: AAAI-84(269-273). BibRef
And: DARPA84(179-183). Unification of texture and shading. BibRef

Bruckstein, A.M.[Alfred M.],
On Shape from Shading,
CVGIP(44), No. 2, November 1988, pp. 139-154.
Elsevier DOI BibRef 8811
Earlier:
On Shape from Shading: Some Theoretical Considerations,
TechnionEE Report 524, Israel, 1985. Another method to recover the height with Lambertian surfaces. BibRef

Leclerc, Y.G., and Bobick, A.F.,
The Direct Computation of Height from Shading,
CVPR91(552-558).
IEEE DOI BibRef 9100
And: DARPA92(821-829).
PS File. Combine with stereo to improve the results. BibRef

Knill, D.C.[David C.], Kersten, D.[Daniel],
Learning a Near-Optimal Estimator for Surface Shape from Shading,
CVGIP(50), No. 1, April 1990, pp. 75-100.
Elsevier DOI Bayesian estimation applied to SfS. Simulated fractal surfaces. BibRef 9004

Liu, T.Y.[Tsu-Yao], Hsu, W.H.[Wen-Hsing], Chen, Y.S.[Yung-Sheng],
Shape Description Via Shading Images,
IVC(10), No. 1, January-February 1992, pp. 46-54.
Elsevier DOI BibRef 9201

Rashid, H.U., Burger, P.,
Differential Algorithm for the Determination of Shape from Shading Using a Point Light Source,
IVC(10), No. 2, March 1992, pp. 119-127.
Elsevier DOI BibRef 9203

Jones, A.G., Taylor, C.J.,
Robust Shape from Shading,
IVC(12), No. 7, September 1994, pp. 411-421.
Elsevier DOI BibRef 9409
Earlier: BMVC93(xx).
PDF File. BibRef

Jones, A.G., Taylor, C.J.,
Scale Space Surface Recovery using Binocular Shading and Stereo Information,
BMVC95(xx-yy).
PDF File. 9509
BibRef

Burel, G., Henocq, H.,
Determination of the Orientation of 3D Objects Using Spherical-Harmonics,
GMIP(57), No. 5, September 1995, pp. 400-408. The set of all images of a convex, Lambertian object can be accurately approximated by the low-dimensional linear subspace constructed using spherical harmonic functions. BibRef 9509

Burel, G., Henocq, H.,
3-Dimensional Invariants and Their Application to Object Recognition,
SP(45), No. 1, July 1995, pp. 1-22. BibRef 9507

Kimmel, R., Siddiqi, K., Kimia, B.B., Bruckstein, A.M.,
Shape from Shading: Level Set Propagation and Viscosity Solutions,
IJCV(16), No. 2, October 1995, pp. 107-133.
Springer DOI Propagate the 3D function (arbitrary initial values) on a rectangular grid. BibRef 9510

Kimmel, R., Bruckstein, A.M.,
Tracking Level Sets by Level Sets: A Method for Solving the Shape from Shading Problem,
CVIU(62), No. 1, July 1995, pp. 47-58.
DOI Link BibRef 9507
Earlier: CIS Report 9319, TechnionIsrael, 1993. BibRef

Shimshoni, I.[Ilan], Kimmel, R., Bruckstein, A.M.,
Global Shape from Shading,
CVIU(64), No. 1, July 1996, pp. 188-189.
DOI Link 9608
BibRef
Earlier: A2 and A3 only: CVIU(62), No. 3, November 1995, pp. 360-369.
DOI Link BibRef
Earlier: ICPR94(A:120-125).
IEEE DOI BibRef

Kimmel, R.[Ron], Sethian, J.A.[James A.],
Optimal Algorithm for Shape from Shading and Path Planning,
JMIV(14), No. 3, May 2001, pp. 237-244.
DOI Link 0106
BibRef

Hsieh, J.W.[Jun-Wei], Liao, H.Y.M., Ko, M.T.[Ming-Tat], Fan, K.C.[Kuo-Chin],
Wavelet-Based Shape from Shading,
GMIP(57), No. 4, July 1995, pp. 343-362. BibRef 9507
Earlier: ICIP94(II: 125-129).
IEEE DOI 9411
BibRef

Deng, Y.P., Li, J.G.,
Some Results: Shape from Shading as a Fully Well-Constrained Problem,
PRL(17), No. 2, February 8 1996, pp. 169-174. BibRef 9602

Wei, G.Q., Hirzinger, G.,
Learning Shape from Shading by a Multilayer Network,
TNN(7), No. 4, July 1996, pp. 985-995. 9608
BibRef
And:
Learning Motion from Images,
ICPR92(I:189-192).
IEEE DOI BibRef

Wei, G.Q.[Guo Qing], Hirzinger, G.[Gerd],
Parametric Shape-from-Shading by Radial Basis Functions,
PAMI(19), No. 4, April 1997, pp. 353-365.
IEEE DOI 9705
RBF to parameterize the object depth. Change centers, widths and weights to minimize intensity errors. Allows easy incorporation of any other information -- surface normals or surface depth. BibRef

Vitria, J., Llacer, J.,
Reconstructing 3D Light-Microscopic Images Using the EM Algorithm,
PRL(17), No. 14, December 30 1996, pp. 1491-1498. 9702
BibRef

Stewart, A.J.[A. James], Langer, M.S.[Michael S.],
Toward Accurate Recovery of Shape from Shading under Diffuse Lighting,
PAMI(19), No. 9, September 1997, pp. 1020-1025.
IEEE DOI 9710
BibRef
Earlier:
Towards Accurate Recovery of Shape from Shading under Diffuse Light,
CVPR96(411-418).
IEEE DOI BibRef

Langer, M.S., and Zucker, S.W.,
Shape from Shading on a Cloudy Day,
JOSA-A(11), No. 2, 1994, pp. 467-478. Diffuse Illumination. BibRef 9400
Earlier:
Diffuse Shading, Visibility Fields, and the Geometry of Ambient Light,
ICCV93(138-147).
IEEE DOI Shape from shading under diffuse (sky) illumination. BibRef

Langer, M.S., Zucker, S.W.,
Qualitative shape from active shading,
CVPR92(713-715).
IEEE DOI 0403
BibRef

Breton, P., Iverson, L.A., Langer, M.S., Zucker, S.W.,
Shading Flows and Scenel Bundles: A New Approach to Shape from Shading,
ECCV92(135-150).
Springer DOI BibRef 9200

Breton, P.[Pierre], Zucker, S.W.[Steven W.],
Shadows and Shading Flow Fields,
CVPR96(782-789).
IEEE DOI Find shadows to do shape from shading. BibRef 9600

Dupuis, P.[Paul], Oliensis, J.[John],
An Optimal Control Formulation and Related Numerical Methods for a Problem in Shape Reconstruction,
Ann. of App. Prob(4), No. 2, 1994, pp. 287-346.
PDF File. BibRef 9400

Zhang, R., Shah, M.,
Shape from Intensity Gradient,
SMC-A(29), No. 3, May 1999, pp. 318.
IEEE Top Reference. BibRef 9905
Earlier:
Height Recovery From Intensity Gradient,
CVPR94(508-513).
IEEE DOI
See also Iterative Shape Recovery From Multiple Images. BibRef

Worthington, P.L.[Philip L.], Hancock, E.R.[Edwin R.],
Needle map recovery using robust regularizers,
IVC(17), No. 8, June 1999, pp. 545-557.
Elsevier DOI BibRef 9906
And: BMVC97(I:313-340).
HTML Version. BibRef

Worthington, P.L.[Philip L.], Hancock, E.R.[Edwin R.],
New Constraints on Data-Closeness and Needle Map Consistency for Shape-from-Shading,
PAMI(21), No. 12, December 1999, pp. 1250-1267.
IEEE DOI 0001
BibRef
Earlier:
Modelling Needle-Map Consistency with Novel Constraints,
CAIP99(498-507).
Springer DOI 9909
A geometric update procedure using image irradiance equation as a constraint. And investigate various needle-map consistency constraints. BibRef

Sartori, F.[Fabio], Hancock, E.R.[Edwin R.],
Vector transport for shape-from-shading,
PR(38), No. 8, August 2005, pp. 1239-1260.
Elsevier DOI 0505
BibRef

Sartori, F.[Fabio], Hancock, E.R.[Edwin R.],
Curvature Consistency for Shape-from-Shading,
SCIA03(67-74).
Springer DOI 0310
BibRef

Worthington, P.L.[Philip L.], Hancock, E.R.[Edwin R.],
Data-driven Shape-from-Shading using Curvature Consistency,
CVPR99(I: 287-293).
IEEE DOI BibRef 9900
And:
Shape-from-shading using a curvature consistency constraint,
CIAP99(484-489).
IEEE DOI 9909
Geometric update and topographic constraints. BibRef

Worthington, P.L.[Philip L.], Hancock, E.R.[Edwin R.],
Surface Topography Using Shape-from-Shading,
PR(34), No. 4, April 2001, pp. 823-840.
Elsevier DOI 0101
BibRef
Earlier: PMCVG99(xx-yy). BibRef

Worthington, P.L., Hancock, E.R.,
3D Surface Topography from Intensity Images,
ICCV99(911-917).
IEEE DOI BibRef 9900

Barnes, N.M., Liu, Z.Q.,
Knowledge-Based Shape-from-Shading,
PRAI(13), No. 1, February 1999, pp. 1-24.
PDF File. BibRef 9902

Weil, W.[Wolfgang],
Intensity analysis of Boolean models,
PR(32), No. 9, September 1999, pp. 1675-1684.
Elsevier DOI BibRef 9909

Tankus, A.[Ariel], Yeshurun, Y.[Yehezkel],
Convexity-Based Visual Camouflage Breaking,
CVIU(82), No. 3, June 2001, pp. 208-237.
DOI Link 0108
BibRef
Earlier:
Convexity-based Camouflage Breaking,
ICPR00(Vol I: 454-457).
IEEE DOI 0009
BibRef
Earlier:
Detection of Regions of Interest and Camouflage Breaking by Direct Convexity Estimation,
VS98(Image Processing for Visual Surveillance). Operator applied directly to image to detect 3D smooth convex objects. Responds to curved 3D objects. Extract from flat background. Find camouflaged objects using shading variations. (SfS). BibRef

Tankus, A.[Ariel], Sochen, N.A.[Nir A.], Yeshurun, Y.[Yehezkel],
Shape-from-Shading Under Perspective Projection,
IJCV(63), No. 1, June 2005, pp. 21-43.
Springer DOI 0501
BibRef
Earlier:
Reconstruction of Medical Images by Perspective Shape-from-Shading,
ICPR04(III: 778-781).
IEEE DOI 0409
BibRef
And:
Perspective shape-from-shading by fast marching,
CVPR04(I: 43-49).
IEEE DOI 0408
BibRef
Earlier:
A new perspective [on] shape-from-shading,
ICCV03(862-869).
IEEE DOI 0311

See also Two-Image Perspective Photometric Stereo Using Shape-from-Shading. BibRef

Kain, J.[Joseph], Ostrov, D.N.[Daniel N.],
Numerical Shape-from-Shading for Discontinuous Photographic Images,
IJCV(44), No. 3, September-October 2001, pp. 163-173.
DOI Link The height of a continuous, Lambertian surface of known albedo is recoverable from a black and white flash photograph of the surface. Discontinuous Hamilton-Jacobi equations, 0111
BibRef

Braquelaire, A.[Achille], Kerautret, B.[Bertrand],
Reconstruction of Lambertian surfaces by discrete equal height contours and regions propagation,
IVC(23), No. 2, 1 February 2004, pp. 177-189.
Elsevier DOI 0412
BibRef

Ragheb, H.[Hossein], Hancock, E.R.[Edwin R.],
Darboux smoothing for shape-from-shading,
PRL(24), No. 1-3, January 2003, pp. 579-595.
Elsevier DOI 0211
BibRef
Earlier:
Shape-from-Shading Using Viewpoint-Invariant Principal Curvatures,
ICIP02(II: 577-580).
IEEE DOI 0210
BibRef
Earlier:
Shape-from-Shading Using Darboux Smoothing,
CAIP01(657-667).
Springer DOI 0210
BibRef
And:
Improved Shape-from-shading Using Darboux Smoothing,
ICIP01(II: 817-820).
IEEE DOI 0108

See also Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. BibRef

Robles-Kelly, A., Hancock, E.R.,
A Graph-Spectral Approach to Shape-From-Shading,
IP(13), No. 7, July 2004, pp. 912-926.
IEEE DOI 0406
BibRef
Earlier: ICIP02(II: 569-572).
IEEE DOI 0210

See also graph-spectral approach to surface segmentation, A. BibRef

Robles-Kelly, A.[Antonio], and Hancock, E.R.[Edwin. R.],
A graph-spectral method for surface height recovery,
PR(38), No. 8, August 2005, pp. 1167-1186.
Elsevier DOI 0505
BibRef
Earlier:
A Graph-Spectral Method for Surface Height Recovery from Needle-Maps,
CVPR01(I:141-148).
IEEE DOI 0110
Input a 2-D field of surface normals. Traverse a path and use the normals to get the height for the next point. BibRef

Robles-Kelly, A., Bors, A.G., Hancock, E.R.,
Surface acquisition from single gray-scale images,
ICIP03(III: 721-724).
IEEE DOI 0312
BibRef

Robles-Kelly, A.[Antonio], Hancock, E.R.[Edwin R.],
Shape-From-Shading Using the Heat Equation,
IP(16), No. 1, January 2007, pp. 7-21.
IEEE DOI 0701
BibRef
Earlier:
Surface height recovery from surface normals using manifold embedding,
ICIP04(III: 2107-2110).
IEEE DOI 0505
BibRef
And:
Surface height recovery using heat flow and manifold embedding,
3DPVT04(860-867).
IEEE DOI 0412
BibRef
And:
Model Acquisition Using Shape-from-Shading,
AMDO02(43 ff.).
Springer DOI 0303
Surface normals from heat equation. Then surface height from surface normals. BibRef

Prados, E.[Emmanuel], Faugeras, O.D.[Olivier D.],
A Generic and Provably Convergent Shape-from-Shading Method for Orthographic and Pinhole Cameras,
IJCV(65), No. 1-2, November 2005, pp. 97-125.
Springer DOI 0604
BibRef
Earlier:
Shape from Shading: A Well-Posed Problem?,
CVPR05(II: 870-877).
IEEE DOI 0507
BibRef
Earlier: Add A3 this one only: Camilli, F.[Fabio], INRIARR-5297, 2004.
HTML Version. BibRef
Earlier: A1, A2 only:
Unifying Approaches and Removing Unrealistic Assumptions in Shape from Shading: Mathematics Can Help,
ECCV04(Vol IV: 141-154).
Springer DOI 0405
BibRef

Prados, E.[Emmanuel], Faugeras, O.D.[Olivier D.],
'Perspective shape from shading' and viscosity solutions,
ICCV03(826-831).
IEEE DOI 0311
BibRef

Prados, E.[Emmanuel], Camilli, F.[Fabio], Faugeras, O.D.[Olivier D.],
A Unifying and Rigorous Shape from Shading Method Adapted to Realistic Data and Applications,
JMIV(25), No. 3, October 2006, pp. 307-328.
Springer DOI 0611
BibRef
Earlier:
A viscosity method for Shape-from-Shading without boundary data,
INRIARR-5296, 2004.
HTML Version. BibRef

Prados, E.[Emmanuel], Faugeras, O.D.[Olivier D.],
A rigorous and realistic shape from shading method and some of its applications,
INRIARR-5133, March 2004.
HTML Version. BibRef 0403

Prados, E.[Emmanuel], Faugeras, O.D.[Olivier D.],
A mathematical and algorithmic study of the Lambertian SFS problem for orthographic and pinhole cameras,
INRIARR-5005, 2003.
HTML Version. BibRef 0300

Prados, E.[Emmanuel], Faugeras, O.D.[Olivier D.], Rouy, E.[Elisabeth],
Shape from Shading and Viscosity Solutions,
ECCV02(II: 790 ff.).
Springer DOI 0205
BibRef
Earlier: INRIARR-4638, Novembre 2002.
HTML Version. 0306
BibRef

Yuen, S.Y.[Shiu Yin], Tsui, Y.Y.[Yuen Yan], Chow, C.K.[Chi Kin],
A fast marching formulation of perspective shape from shading under frontal illumination,
PRL(28), No. 7, May 2007, pp. 806-824.
Elsevier DOI 0703
Shape from shading; Perspective projection; Fast marching; Depth discontinuity; Intensity discontinuity; Occlusion BibRef

Chow, C.K.[Chi Kin], Yuen, S.Y.[Shiu Yin],
Recovering Shape by Shading and Stereo Under Lambertian Shading Model,
IJCV(85), No. 1, October 2009, pp. xx-yy.
Springer DOI 0907
BibRef
Earlier:
Equivalence of oblique and frontal illumination in perspective shape from shading,
ICMV07(7-11).
IEEE DOI 0712
BibRef
Earlier:
Lighting Direction Estimation in Perspective Shape from Shading by Genetic Algorithm,
CRV07(289-296).
IEEE DOI 0705
BibRef

Liao, I.Y.[Iman Yi], Petrou, M.[Maria], Zhao, R.C.[Rong-Chun],
A fractal-based relaxation algorithm for shape from terrain image,
CVIU(109), No. 3, March 2008, pp. 227-243.
Elsevier DOI 0802
Terrain image; Shape-from-Shading; Fractals; Regularization BibRef

Liao, I.Y.[Iman Y.], Zaman, M.[Munir],
Prior model evaluation from Null Space Compensation perspective with application to surface reconstruction from single images,
VC(26), No. 6-8, June 2010, pp. 997-1005.
WWW Link. 1101
BibRef

Xu, B.[Bin], Tang, L.X.[Li-Xin], Shi, H.M.[Han-Min],
Shape from shading based on needle map and cellular automata,
VC(24), No. 3, March 2008, pp. 201-212.
Springer DOI 0802
BibRef

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
Shape from Shading Using Graph Cuts,
PR(41), No. 12, December 2008, pp. 3749-3757.
Elsevier DOI 0810
BibRef
Earlier: ICIP03(I: 421-424).
IEEE DOI 0312
Shape from shading; Graph cuts
See also Stereo matching using iterative reliable disparity map expansion in the color-spatial-disparity space. BibRef

Moses, Y.[Yael], Shimshoni, I.[Ilan],
3D Shape Recovery of Smooth Surfaces: Dropping the Fixed-Viewpoint Assumption,
PAMI(31), No. 7, July 2009, pp. 1310-1324.
IEEE DOI 0905
BibRef
Earlier: ACCV06(I:429-438).
Springer DOI 0601
BibRef

Wilhelmy, J.[Jochen], Krüger, J.[Jörg],
Shape from Shading Using Probability Functions and Belief Propagation,
IJCV(84), No. 3, September 2009, pp. xx-yy.
Springer DOI 0906
BibRef

Chen, D., Dong, F.,
Shape from shading using wavelets and weighted smoothness constraints,
IET-CV(4), No. 1, March 2010, pp. 1-11.
DOI Link 1001
BibRef

Bruvoll, S.[Solveig], Reimers, M.[Martin],
Spherical surface parameterization for perspective shape from shading,
PRL(33), No. 1, 1 January 2012, pp. 33-40.
Elsevier DOI 1112
Shape from shading; Eikonal equation; Fast Marching method; Perspective; Attenuation BibRef

O'Hara, R., Barnes, D.,
A new shape from shading technique with application to Mars Express HRSC images,
PandRS(67), No. 1, January 2012, pp. 27-34.
Elsevier DOI 1202
Shape from shading; SFS; HRSC; Photoclinometry; Mars BibRef

Breuss, M.[Michael], Cristiani, E.[Emiliano], Durou, J.D.[Jean-Denis], Falcone, M.[Maurizio], Vogel, O.[Oliver],
Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations,
SIIMS(5), No. 1 2012, pp. 311.
DOI Link 1203
BibRef

Vogel, O.[Oliver], Cristiani, E.[Emiliano],
Numerical schemes for advanced reflectance models for Shape from Shading,
ICIP11(5-8).
IEEE DOI 1201
BibRef

Vogel, O.[Oliver], Valgaerts, L.[Levi], Breuß, M.[Michael], Weickert, J.[Joachim],
Making Shape from Shading Work for Real-World Images,
DAGM09(191-200).
Springer DOI 0909
BibRef

Vogel, O.[Oliver], Breuß, M.[Michael], Leichtweis, T.[Thomas], Weickert, J.[Joachim],
Fast Shape from Shading for Phong-Type Surfaces,
SSVM09(733-744).
Springer DOI 0906
BibRef

Vogel, O.[Oliver], Breuß, M.[Michael], Weickert, J.[Joachim],
Perspective Shape from Shading with Non-Lambertian Reflectance,
DAGM08(xx-yy).
Springer DOI 0806
BibRef

Vogel, O.[Oliver], Bruhn, A.[Andrés], Weickert, J.[Joachim], Didas, S.[Stephan],
Direct Shape-from-Shading with Adaptive Higher Order Regularisation,
SSVM07(871-882).
Springer DOI 0705
BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.], Pont, S.C.[Sylvia C.],
The 'shading twist,' a dynamical shape cue,
IJCV(105), No. 1, October 2013, pp. 49-62.
Springer DOI 1308
Light source moves, changes in surface depend on surface.
See also Illumination direction from texture shading. BibRef

Governi, L.[Lapo], Furferi, R.[Rocco], Puggelli, L.[Luca], Volpe, Y.[Yary],
Improving surface reconstruction in shape from shading using easy-to-set boundary conditions,
IJCVR(3), No. 3, 2013, pp. 225-247.
DOI Link 1309
BibRef

Furferi, R.[Rocco], Governi, L.[Lapo], Volpe, Y.[Yary], Puggelli, L.[Luca], Carfagni, M.[Monica],
Original strategy for avoiding over-smoothing in SFS problem resolution,
IJCVR(8), No. 1, 2018, pp. 58-73.
DOI Link 1804
BibRef

Elhabian, S.Y.[Shireen Y.], Farag, A.A.[Aly A.],
Towards efficient image irradiance modelling of convex Lambertian surfaces under single viewpoint and frontal illumination,
IET-CV(7), No. 6, December 2013, pp. 478-487.
DOI Link 1402
BibRef
Earlier:
Analytic Bilinear Appearance Subspace Construction for Modeling Image Irradiance under Natural Illumination and Non-Lambertian Reflectance,
CVPR13(1446-1451)
IEEE DOI 1309
BibRef
Earlier:
Modeling image irradiance under natural illumination and isotropic surface reflectance,
ICIP12(3013-3016).
IEEE DOI 1302
brightness (hemi)spherical harmonics BibRef

Elhabian, S.Y.[Shireen Y.], Farag, A.A.[Aly A.],
Image irradiance harmonics: a phenomenological model of image irradiance of arbitrary surface reflectance,
IET-CV(8), No. 5, October 2014, pp. 365-381.
DOI Link 1412
electromagnetic wave reflection BibRef

Elhabian, S.Y.[Shireen Y.], Rara, H.[Ham], Farag, A.A.[Aly A.],
Towards accurate and efficient representation of image irradiance of convex-Lambertian objects under unknown near lighting,
ICCV11(1732-1737).
IEEE DOI 1201
BibRef
And:
On the use of hemispherical harmonics for modeling images of objects under unknown distant illumination,
ICIP11(1109-1112).
IEEE DOI 1201
BibRef
Earlier:
Towards Efficient and Compact Phenomenological Representation of Arbitrary Bidirectional Surface Reflectance,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
And:
Modeling Lambertian Surfaces Under Unknown Distant Illumination Using Hemispherical Harmonics,
CRV11(293-300).
IEEE DOI 1105

See also 3D face recovery from intensities of general and unknown lighting using Partial Least Squares. BibRef

Elhabian, S.Y.[Shireen Y.], Rara, H.[Ham], Ali, A.M.[Asem M.], Farag, A.A.[Aly A.],
Illumination-invariant Statistical Shape Recovery with Contiguous Occlusion,
CRV11(301-308).
IEEE DOI 1105
BibRef

Farag, A.A.[Amal A.], Elhabian, S.Y.[Shireen Y.], Ahmed, A.H.[Abdelrehim H.], Farag, A.A.[Aly A.],
Noise Analysis of a SFS Algorithm Formulated under Various Imaging Conditions,
ISVC08(I: 793-802).
Springer DOI 0812
BibRef

Ahmed, A.H.[Abdelrehim H.], Farag, A.A.[Aly A.],
Shape from Shading for Hybrid Surfaces,
ICIP07(II: 525-528).
IEEE DOI 0709
BibRef
And:
Shape from Shading Under Various Imaging Conditions,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
A New Formulation for Shape from Shading for Non-Lambertian Surfaces,
CVPR06(II: 1817-1824).
IEEE DOI 0606
BibRef

Nguyen, H.Q., Do, M.N.,
Inverse Rendering of Lambertian Surfaces Using Subspace Methods,
IP(23), No. 12, December 2014, pp. 5545-5558.
IEEE DOI 1412
convex programming BibRef

Kim, C.C.[Charles C.], Thai, B.[Bea], Yamaoka, N.[Neil], Aboutalib, O.[Omar],
Hemispherical reflectance model for passive images in an outdoor environment,
JOSA-A(32), No. 5, May 2015, pp. 1003-1011.
DOI Link 1505
Scattering, rough surfaces BibRef

Liu, F.[Fayao], Shen, C.H.[Chun-Hua], Lin, G.S.[Guo-Sheng], Reid, I.D.,
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields,
PAMI(38), No. 10, October 2016, pp. 2024-2039.
IEEE DOI 1609
BibRef
Earlier: A1, A2, A3, Only:
Deep convolutional neural fields for depth estimation from a single image,
CVPR15(5162-5170)
IEEE DOI 1510
Approximation methods BibRef

Choe, G.M.[Gyeong-Min], Park, J.[Jaesik], Tai, Y.W.[Yu-Wing], Kweon, I.S.[In So],
Refining Geometry from Depth Sensors using IR Shading Images,
IJCV(122), No. 1, March 2017, pp. 1-16.
Springer DOI 1702
BibRef
Earlier:
Exploiting Shading Cues in Kinect IR Images for Geometry Refinement,
CVPR14(3922-3929)
IEEE DOI 1409
IR; Infrared; Kinect; Refinement BibRef

Shin, C., Jeon, H., Yoon, Y., Kweon, I.S., Kim, S.J.,
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images,
CVPR18(4748-4757)
IEEE DOI 1812
Estimation, Cameras, Geometry, Image resolution, Neural networks, Measurement BibRef

Tulsiani, S.[Shubham], Kar, A.[Abhishek], Carreira, J.[Joao], Malik, J.[Jitendra],
Learning Category-Specific Deformable 3D Models for Object Reconstruction,
PAMI(39), No. 4, April 2017, pp. 719-731.
IEEE DOI 1703
BibRef
Earlier: A1, A3, A4, Only:
Pose Induction for Novel Object Categories,
ICCV15(64-72)
IEEE DOI 1602
Animals BibRef
And: A2, A1, A3, A4:
Amodal Completion and Size Constancy in Natural Scenes,
ICCV15(127-135)
IEEE DOI 1602
BibRef
And: A2, A1, A3, A4:
Category-specific object reconstruction from a single image,
CVPR15(1966-1974)
IEEE DOI 1510
Award, CVPR, Student. Buildings BibRef

Tulsiani, S.[Shubham], Zhou, T.H.[Ting-Hui], Efros, A.A.[Alexei A.], Malik, J.[Jitendra],
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency,
PAMI(44), No. 12, December 2022, pp. 8754-8765.
IEEE DOI 2212
BibRef
Earlier: CVPR17(209-217)
IEEE DOI 1711
Shape, Image reconstruction, Cameras, Solid modeling, Color, Training data, 3D reconstruction, multi-view supervision, ray consistency. Image color analysis, Probabilistic logic. BibRef

Kanazawa, A.[Angjoo], Tulsiani, S.[Shubham], Efros, A.A.[Alexei A.], Malik, J.[Jitendra],
Learning Category-Specific Mesh Reconstruction from Image Collections,
ECCV18(XV: 386-402).
Springer DOI 1810
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Qin, H.W.[Hong-Wei], Li, X.[Xiu], Wang, Y.G.[Yan-Gang], Zhang, Y.B.[Yong-Bing], Dai, Q.H.[Qiong-Hai],
Depth Estimation by Parameter Transfer With a Lightweight Model for Single Still Images,
CirSysVideo(27), No. 4, April 2017, pp. 748-759.
IEEE DOI 1704
BibRef
Earlier: A2, A1, A3, A4, A5:
DEPT: Depth Estimation by Parameter Transfer for Single Still Images,
ACCV14(II: 45-58).
Springer DOI 1504
RGB-D images for parameters. Color. BibRef

Liu, W.C.[Wai Chung], Wu, B.[Bo], Wöhler, C.[Christian],
Effects of illumination differences on photometric stereo shape-and-albedo-from-shading for precision lunar surface reconstruction,
PandRS(136), 2018, pp. 58-72.
Elsevier DOI 1802
Surface reconstruction, Shape-and-albedo-from-shading, Photometric stereo, Illumination differences, LROC NAC BibRef

Quéau, Y.[Yvain], Durou, J.D.[Jean-Denis], Aujol, J.F.[Jean-François],
Normal Integration: A Survey,
JMIV(60), No. 4, May 2018, pp. 576-593.
Springer DOI 1804
Survey, Shape from Shading. From normals to surfaces. Part of all SfS work. BibRef

Quéau, Y.[Yvain], Durou, J.D.[Jean-Denis], Aujol, J.F.[Jean-François],
Variational Methods for Normal Integration,
JMIV(60), No. 4, May 2018, pp. 609-632.
Springer DOI 1804
BibRef

Li, B.[Bo], Dai, Y.C.[Yu-Chao], He, M.Y.[Ming-Yi],
Monocular depth estimation with hierarchical fusion of dilated CNNs and soft-weighted-sum inference,
PR(83), 2018, pp. 328-339.
Elsevier DOI 1808
Monocular depth estimation, Deep convolutional neural network, Soft-weighted-sum-inference, Dilated convolution BibRef

Li, B.[Bo], Shen, C.H.[Chun-Hua], Dai, Y.C.[Yu-Chao], van den Hengel, A.J.[Anton J.], He, M.Y.[Ming-Yi],
Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs,
CVPR15(1119-1127)
IEEE DOI 1510
BibRef

Xu, D.[Dan], Ricci, E.[Elisa], Ouyang, W.L.[Wan-Li], Wang, X.G.[Xiao-Gang], Sebe, N.[Nicu],
Monocular Depth Estimation Using Multi-Scale Continuous CRFs as Sequential Deep Networks,
PAMI(41), No. 6, June 2019, pp. 1426-1440.
IEEE DOI 1905
BibRef
Earlier:
Multi-scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation,
CVPR17(161-169)
IEEE DOI 1711
fuses complementary information derived from multiple CNN side outputs. Estimation, Task analysis, Semantics, Convolutional neural networks, Graphical models, Training, conditional random fields (CRFs). Fuses, Predictive models, Training BibRef

Xu, D.[Dan], Ouyang, W.L.[Wan-Li], Wang, X.G.[Xiao-Gang], Sebe, N.[Nicu],
PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing,
CVPR18(675-684)
IEEE DOI 1812
Task analysis, Estimation, Semantics, Decoding, Optimization, Convolution BibRef

Liu, W.C.[Wai Chung], Wu, B.[Bo],
An integrated photogrammetric and photoclinometric approach for illumination-invariant pixel-resolution 3D mapping of the lunar surface,
PandRS(159), 2020, pp. 153-168.
Elsevier DOI 1912
Photogrammetry, Photoclinometry, Shape-from-shading, Image matching, Moon BibRef

Hu, Z.H.[Zhi-Hua], Hou, Y.L.[Yao-Lin], Tao, P.J.[Peng-Jie], Shan, J.[Jie],
SREVAS: Shading Based Surface Refinement under Varying Albedo and Specularity,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Chen, Y.C.[Yu-Chong], Yao, P.C.[Peng-Cheng], Gao, R.[Rui], Zhang, W.[Wei], Gai, S.[Shaoyan], Yu, J.[Jian], Da, F.P.[Fei-Peng],
Error Model and Concise Temporal Network for Indirect Illumination in 3D Reconstruction,
IP(33), 2024, pp. 5849-5863.
IEEE DOI 2410
Translucen objects. Fringe projection profilometry. Lighting, Scattering, Point cloud compression, Cameras, Pollution measurement, Accuracy, Robustness, Light sources, phase image BibRef

Chaudhury, A.N.[Arkadeep Narayan], Keselman, L.[Leonid], Atkeson, C.G.[Christopher G.],
Shape from Shading for Robotic Manipulation,
WACV24(8374-8383)
IEEE DOI 2404
Reflectivity, Shape, Deformation, Shape measurement, Lighting, Sensors, Object recognition, Applications, Robotics, Algorithms, Low-level and physics-based vision BibRef

Mai, A.[Alexander], Verbin, D.[Dor], Kuester, F.[Falko], Fridovich-Keil, S.[Sara],
Neural Microfacet Fields for Inverse Rendering,
ICCV23(408-418)
IEEE DOI 2401
BibRef

Mehta, I.[Ishit], Chandraker, M.[Manmohan], Ramamoorthi, R.[Ravi],
A Theory of Topological Derivatives for Inverse Rendering of Geometry,
ICCV23(419-429)
IEEE DOI 2401
BibRef

Zhang, C.[Chi], Yin, W.[Wei], Yu, G.[Gang], Wang, Z.B.[Zhi-Bin], Chen, T.[Tao], Fu, B.[Bin], Zhou, J.T.Y.[Joey Tian-Yi], Shen, C.H.[Chun-Hua],
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering,
ICCV23(8917-8927)
IEEE DOI 2401
BibRef

Karnieli, A.[Asaf], Fried, O.[Ohad], Hel-Or, Y.[Yacov],
DeepShadow: Neural Shape from Shadow,
ECCV22(II:415-430).
Springer DOI 2211
BibRef

Tiwary, K.[Kushagra], Klinghoffer, T.[Tzofi], Raskar, R.[Ramesh],
Towards Learning Neural Representations from Shadows,
ECCV22(XXXIII:300-316).
Springer DOI 2211
BibRef

Ahmad, B.[Bilal], Floor, P.A.[Pål Anders], Farup, I.[Ivar],
A Comparison of Regularization Methods for Near-Light-Source Perspective Shape-from-Shading,
ICIP22(3146-3150)
IEEE DOI 2211
Surface reconstruction, Correlation, Shape, Shape measurement, Mathematical models, Reflection, Shape-from-Shading, L1 regularization BibRef

Li, J.X.[Jun-Xuan], Li, H.D.[Hong-Dong],
Neural Reflectance for Shape Recovery with Shadow Handling,
CVPR22(16200-16209)
IEEE DOI 2210
Reflectivity, Shape, Estimation, Multilayer perceptrons, Computational photography, Self- semi- meta- unsupervised learning BibRef

Tokieda, K.[Kodai], Iwaguchi, T.[Takafumi], Kawasaki, H.[Hiroshi],
High-Frequency Shape Recovery from Shading by CNN and Domain Adaptation,
ICIP21(3672-3676)
IEEE DOI 2201
Training, Shape, Shape measurement, Lighting, Reflection, Loss measurement, High frequency, Shape from shading, Deep learning BibRef

Xie, W.Y.[Wu-Yuan], Wang, M.H.[Miao-Hui], Wei, M.Q.[Ming-Qiang], Jiang, J.M.[Jian-Min], Qin, J.[Jing],
Surface Reconstruction From Normals: A Robust DGP-Based Discontinuity Preservation Approach,
CVPR19(5323-5331).
IEEE DOI 2002
BibRef

Lin, H.[Hubert], Averkiou, M.[Melinos], Kalogerakis, E.[Evangelos], Kovacs, B.[Balazs], Ranade, S.[Siddhant], Kim, V.[Vladimir], Chaudhuri, S.[Siddhartha], Bala, K.[Kavita],
Learning Material-Aware Local Descriptors for 3D Shapes,
3DV18(150-159)
IEEE DOI 1812
computational geometry, computer graphics, learning (artificial intelligence), mesh generation, neural nets, crowdsourcing BibRef

Yang, D., Deng, J.,
Shape from Shading Through Shape Evolution,
CVPR18(3781-3790)
IEEE DOI 1812
Shape, Training, Sociology, Statistics, Optimization, Task analysis BibRef

Mollenhoff, T.[Thomas], Cremers, D.[Daniel],
Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus,
CVPR19(11109-11118).
IEEE DOI 2002
BibRef

Haefner, B., Quéau, Y., Möllenhoff, T., Cremers, D.,
Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading,
CVPR18(164-174)
IEEE DOI 1812
Image resolution, Shape, Lighting, Image color analysis, Color, Surface treatment, Sensors BibRef

Nishino, K.[Ko], Subpa-asa, A.[Art], Asano, Y.[Yuta], Shimano, M.[Mihoko], Sato, I.[Imari],
Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with an Ordinary Camera,
ECCV18(XI: 624-639).
Springer DOI 1810
BibRef

Godard, C.[Clément], Aodha, O.M.[Oisin Mac], Brostow, G.J.[Gabriel J.],
Unsupervised Monocular Depth Estimation with Left-Right Consistency,
CVPR17(6602-6611)
IEEE DOI 1711
Cameras, Estimation, Image reconstruction, Lighting, Neural networks, Predictive models, Training BibRef

Fan, H., Su, H., Guibas, L.J.,
A Point Set Generation Network for 3D Object Reconstruction from a Single Image,
CVPR17(2463-2471)
IEEE DOI 1711
Geometry, Image reconstruction, Neural networks, Shape, Training, BibRef

Tateno, K.[Keisuke], Navab, N.[Nassir], Tombari, F.[Federico],
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images,
ECCV18(XVI: 732-750).
Springer DOI 1810
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Tateno, K., Tombari, F.[Federico], Laina, I.[Iro], Navab, N.[Nassir],
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction,
CVPR17(6565-6574)
IEEE DOI 1711
Cameras, Image reconstruction, Pose estimation, Semantics, Simultaneous localization and mapping, BibRef

Laina, I.[Iro], Rupprecht, C.[Christian], Belagiannis, V.[Vasileios], Tombari, F.[Federico], Navab, N.[Nassir],
Deeper Depth Prediction with Fully Convolutional Residual Networks,
3DV16(239-248)
IEEE DOI 1701
convolution BibRef

Afifi, A.J.[Ahmed J.], Hellwich, O.[Olaf],
Object Depth Estimation from a Single Image Using Fully Convolutional Neural Network,
DICTA16(1-7)
IEEE DOI 1701
Computer architecture BibRef

Choe, G.[Gyeongmin], Narasimhan, S.G.[Srinivasa G.], Kweon, I.S.[In So],
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry,
CVPR16(2452-2460)
IEEE DOI 1612
BibRef

Wu, J., Tenenbaum, J.B., Kohli, P.,
Neural Scene De-rendering,
CVPR17(7035-7043)
IEEE DOI 1711
Decoding, Engines, Image reconstruction, Proposals, Rendering (computer graphics), XML BibRef

Moreno, P.[Pol], Williams, C.K.I.[Christopher K. I.], Nash, C.[Charlie], Kohli, P.[Pushmeet],
Overcoming Occlusion with Inverse Graphics,
DeepLearn16(III: 170-185).
Springer DOI 1611
I.e. what could have caused this image. BibRef

Smith, W.A.P.[William A. P.], Ramamoorthi, R.[Ravi], Tozza, S.[Silvia],
Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image,
ECCV16(VIII: 109-125).
Springer DOI 1611
BibRef

Liu, F.[Fei], Hou, G.Q.[Guang-Qi], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Albedo assisted high-quality shape recovery from 4D light fields,
ICIP15(1220-1224)
IEEE DOI 1512
4D light fields; albedo estimation; normal refinement; shape recovery BibRef

Bähr, M.[Martin], Breuß, M.[Michael],
An Improved Eikonal Method for Surface Normal Integration,
GCPR15(274-284).
Springer DOI 1511
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Wang, P.[Peng], Shen, X.H.[Xiao-Hui], Lin, Z.[Zhe], Cohen, S.[Scott], Price, B.L.[Brian L.], Yuille, A.L.[Alan L.],
Towards unified depth and semantic prediction from a single image,
CVPR15(2800-2809)
IEEE DOI 1510
BibRef

Richter, S.R.[Stephan R.], Roth, S.[Stefan],
Discriminative shape from shading in uncalibrated illumination,
CVPR15(1128-1136)
IEEE DOI 1510
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Yang, Z.[Zhi], Chandola, V.[Varun],
Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling,
CVS15(117-127).
Springer DOI 1507
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Hao, J.Y.[Jian-Ying], Liu, Y.[Yue], Weng, D.D.[Dong-Dong],
A BRDF Representing Method Based on Gaussian Process,
eHeritage14(542-553).
Springer DOI 1504
To model heritage sites. BibRef

Rohith, M.V., Sorensen, S.[Scott], Rhein, S.[Stephen], Kambhamettu, C.[Chandra],
Shape from stereo and shading by gradient constrained interpolation,
ICIP13(2232-2236)
IEEE DOI 1402
3D reconstruction BibRef

Mahmoud, A.H.[Ali H.], El-Melegy, M.T.[Moumen T.], Farag, A.A.[Aly A.],
Direct method for shape recovery from polarization and shading,
ICIP12(1769-1772).
IEEE DOI 1302
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Sun, S.Y.[Shao-Yuan], Li, L.[Linna], Xi, L.[Lin],
Depth estimation from monocular infrared images based on BP neural network model,
CVRS12(237-241).
IEEE DOI 1302
Some depth info from IR, then apply NN model BibRef

Guarnera, G.C.[Giuseppe Claudio], Peers, P.[Pieter], Debevec, P.[Paul], Ghosh, A.[Abhijeet],
Estimating Surface Normals from Spherical Stokes Reflectance Fields,
Color12(II: 340-349).
Springer DOI 1210
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Stark, M.[Michael], Goesele, M.[Michael], Schiele, B.[Bernt],
Back to the Future: Learning Shape Models from 3D CAD Data,
BMVC10(xx-yy).
HTML Version. 1009
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Earlier:
A shape-based object class model for knowledge transfer,
ICCV09(373-380).
IEEE DOI 0909
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Earlier:
Shading cues for object class detection,
3DRR09(649-656).
IEEE DOI 0910
Getting the 3D shape info from shading for recognition. BibRef

Stark, M.[Michael], Lies, P.[Philipp], Zillich, M.[Michael], Wyatt, J.[Jeremy], Schiele, B.[Bernt],
Functional Object Class Detection Based on Learned Affordance Cues,
CVS08(xx-yy).
Springer DOI 0805
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Stark, M.[Michael], Schiele, B.[Bernt],
How Good are Local Features for Classes of Geometric Objects,
ICCV07(1-8).
IEEE DOI 0710
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Ruepp, O.[Oliver], Burschka, D.[Darius],
Fast Recovery of Weakly Textured Surfaces from Monocular Image Sequences,
ACCV10(IV: 474-485).
Springer DOI 1011
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Ruepp, O.[Oliver], Burschka, D.[Darius], Bauernschmitt, R.[Robert],
Towards On-line Intensity-based Surface Recovery from Monocular Images,
BMVC10(xx-yy).
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Finckh, M.[Manuel], Dammertz, H.[Holger], Lensch, H.P.A.[Hendrik P.A.],
Geometry Construction from Caustic Images,
ECCV10(V: 464-477).
Springer DOI 1009
Inverse geometry, given light source, diffuse plan and image, what is the geometry of the object. BibRef

Huang, R.[Rui], Smith, W.A.P.[William A. P.],
A shape-from-shading framework for satisfying data-closeness and structure-preserving smoothness constraints,
BMVC09(xx-yy).
PDF File. 0909
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And:
Structure-Preserving Regularisation Constraints for Shape-from-Shading,
CAIP09(865-872).
Springer DOI 0909
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Wenger, S.[Stephan], Sellent, A.[Anita], Schütt, O.[Ole], Magnor, M.[Marcus],
Image-Based Lunar Surface Reconstruction,
DAGM09(382-391).
Springer DOI 0909
Using shape from shading. Generate detailed height map of the surface. BibRef

Prados, E.[Emmanuel], Jindal, N.[Nitin], Soatto, S.[Stefano],
A Non-local Approach to Shape from Ambient Shading,
SSVM09(696-708).
Springer DOI 0906
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Liu, J.[Ji], Cong, Y.[Yang], Li, X.M.[Xiao-Mao], Wang, Y.C.[Yue-Chao], Tang, Y.D.[Yan-Dong], Zhou, C.[Chuan],
Lunar terrain reconstruction using PDEs,
ICIP08(1504-1507).
IEEE DOI 0810
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Anke, B.[Bellmann], Olaf, H.[Hellwich], Volker, R.[Rodehorst], Ulas, Y.[Yilmaz],
A Benchmark Dataset for Performance Evaluation of Shape-from-X Algorithms,
ISPRS08(B3b: 67 ff).
PDF File. 0807
Dataset, Shape from X. BibRef

Zhu, Q.H.[Qi-Hui], Shi, J.B.[Jian-Bo],
Shape from Shading: Recognizing the Mountains through a Global View,
CVPR06(II: 1839-1846).
IEEE DOI 0606
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Zeng, G.[Gang], Matsushita, Y.[Yasuyuki], Quan, L.[Long], Shum, H.Y.[Heung-Yeung],
Interactive Shape from Shading,
CVPR05(I: 343-350).
IEEE DOI 0507
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Du, Q.Y.[Quan Ying], Chen, S.B.[Shan Ben], Lin, T.[Tao],
An application of shape from shading,
ICARCV04(I: 184-189).
IEEE DOI 0412
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Sanya, S., Bansal, M., Banerjee, S., Kalra, P.K.,
Modeling of free-form surfaces and shape from shading,
3DPVT04(600-607).
IEEE DOI 0412
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Ikeda, O.[Osamu],
Shape-from-Shading Algorithm for Oblique Light Source,
ISVC07(II: 357-366).
Springer DOI 0711
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Earlier:
Use of four surface normal approximations and optimization of light direction for robust shape reconstruction from single images,
CRV04(84-91).
IEEE DOI http://dx.doi.org/10.1109/CCCRV.2004.1301447 0408

See also robust shape-from-shading algorithm using two images and control of boundary conditions, A. BibRef

Ikeda, O.,
A Robust Iterative Shape-From-Shading Algorithm with Modified Transforming Matrix,
BMVC03(xx-yy).
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Earlier:
Shape distortion analysis of the shape-from-shading algorithm using Jacobi iterative method,
3DPVT02(396-399).
IEEE DOI 0206
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Frolova, D.[Darya], Simakov, D.[Denis], Basri, R.[Ronen],
Accuracy of Spherical Harmonic Approximations for Images of Lambertian Objects under Far and Near Lighting,
ECCV04(Vol I: 574-587).
Springer DOI 0405
Extend previous analysis of spherical harmonic approximation to the case of arbitrary objects; analyze its applicability for near by lighting.
See also Determination of the Orientation of 3D Objects Using Spherical-Harmonics. BibRef

Hashemi, L.[Leila], Azizi, A.[Ali], Hashemi, M.H.[Mohammad Hasan],
Implementation of a Single Photo Shape from Shading Method for the Automatic DTM Generation,
PCV02(B: 71). 0305
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Nagai, T., Naruse, T., Ikehara, M., Kurematsu, A.,
HMM-based surface reconstruction from single images,
ICIP02(II: 561-564).
IEEE DOI 0210
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Petrovic, N.[Nemanja], Cohen, I.[Ira], Frey, B.J., Koetter, R., Huang, T.S.,
Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models,
CVPR01(I:743-748).
IEEE DOI 0110
Constraints on shape from shading. BibRef

Ortiz, A.[Alberto], Oliver, G.[Gabriel],
Shape from Shading for Multiple Albedo Images,
ICPR00(Vol I: 786-789).
IEEE DOI 0009
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Loew, M.[Murray], Hattery, D.[David],
Depth from Physics: Physics-Based Image Analysis and Feature Definition,
ICPR98(Vol I: 711-713).
IEEE DOI 9808
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Yu, L.Y.[Liang-Yin], Dyer, C.R.,
Direct computation of differential invariants of image contours from shading,
ICIP98(I: 251-255).
IEEE DOI 9810
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Haddon, J., Forsyth, D.A.,
Shape representations from shading primitives,
ECCV98(II: 415).
Springer DOI BibRef 9800

Kim, T.[Taeone], Seo, Y.D.[Yong-Duek], and Hong, K.S.[Ki-Sang],
Physics-based 3D Position Analysis of a Soccer Ball from Monocular Image Sequences,
ICCV98(721-726).
IEEE DOI BibRef 9800

Mandal, C.[Chhandomay], Vemuri, B.C.[Baba C.], and Qin, H.[Hong],
Shape Recovery Using Dynamic Subdivision Surfaces,
ICCV98(805-810).
IEEE DOI BibRef 9800

Weiss, I.[Isaac],
A Perspective 3D Formalism for Shape from Shading,
DARPA97(1393-1402). BibRef 9700

Shioyama, T., Jiang, W.,
Numerical 3-D Shape Inference from Shading with New Type of Constraint,
ICPR96(I: 364-368).
IEEE DOI 9608
(Kyoto Institute of Technology, J) BibRef

Huang, C.K., Pai, C., Chang, W.T.,
Shape from Shading Using Ritz Method with Tent Basis,
ICPR96(I: 398-402).
IEEE DOI 9608
(National Chiao-Tung Univ., ROC) BibRef

Wolff, L.B.,
Generalizing Lambert's Law for Smooth Surfaces,
ECCV96(II:40-53).
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Callari, F.G., Maniscalco, U.,
A New Robust Approach to Image Shading Analysis and 3-D Shape Reconstruction,
ICPR94(A:103-107).
IEEE DOI BibRef 9400

Brooks, M.J., Chojnacki, W.,
Direct Computation of Shape from Shading,
ICPR94(A:114-119).
IEEE DOI BibRef 9400

Saito, H., Tsunashima, N.,
Estimation of 3-D Parametric Models from Shading Image Using Genetic Algorithms,
ICPR94(A:668-670).
IEEE DOI BibRef 9400

Cho, S.I.[Seong Ik], Saito, H.[Hideo], Ozawa, S.[Shinji],
Analytical Solution of Shape from Shading Problem,
BMVC97(xx-yy).
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Cho, S.I.[Seong Ik], Saito, H.[Hideo], Ozawa, S.[Shinji],
A Divide and Conquer Strategy in Shape from Shading Problems,
CVPR97(413-419).
IEEE DOI 9704
Book page surface - (MVA, 1994, 147-150) [1]? BibRef

Lew, M.S.[Michael S.], Chaudron, M.[Michel], Huijsmans, N.[Nies], She, A.[Alfred], Huang, T.S.[Thomas S.],
Convergence of model based shape from shading,
CIAP97(I: 582-587).
Springer DOI 9709
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Nakamura, K., Saito, H., Ozawa, S.,
3D Reconstruction of Book Surface Taken from Image Sequence with Handy Camera,
ICPR00(Vol IV: 575-578).
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Asada, M., Nakamura, T., and Shirai, Y.,
Weak Lambertian Assumption for Determining Cylindrical Shape and Pose from Shading and Contour,
CVPR92(726-729).
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Nakamura, T., Asada, M., and Shirai, Y.,
A Qualitative Approach to Quantitative Recovery of SHGC's Shape and Pose from Shading and Contour,
CVPR93(116-122).
IEEE DOI BibRef 9300

Asada, M.,
Cylindrical Shape from Contour and Shading without Knowledge of Lighting Conditions or Surface Albedo,
ICCV87(412-416). BibRef 8700
And:
Determining Cylindrical Shape from Contour and Shading,
IJCAI87(797-800). Related Motion papers:
See also Automatic Analysis of Moving Images. and
See also Inferring Motion of Cylindrical Object from Shape Information. BibRef

Narasimhamurthi, N., Srinivasan, R., Shridhar, M., and Ahmadi, M.,
Shape Determination from Intensity Images: A New Algorithm,
ICPR90(I: 291-293).
IEEE DOI BibRef 9000

Epstein, R., Hallinan, P.W., Yuille, A.L.[Alan L.],
5+/-2 Eigenimages Suffice: An Empirical Investigation of Low-Dimensional Lighting Models,
PBMCV95(SESSION 4) BibRef 9500

Iwahori, Y.J.[Yu-Ji], Iwai, K.[Kazuki], Woodham, R.J.[Robert J.], Kawanaka, H.[Haruki], Fukui, S.[Shinji], Kasugai, K.[Kunio],
Extending Fast Marching Method under Point Light Source Illumination and Perspective Projection,
ICPR10(1650-1653).
IEEE DOI 1008
BibRef

Iwahori, Y., Sugie, H., Ishii, N.,
Reconstructing shape from shading images under point light source illumination,
ICPR90(I: 83-87).
IEEE DOI 9006
BibRef

Zhang, W., Zhou, Y.,
An Improved Method for Shape from Shading,
ICPR88(II: 1106-1108).
IEEE DOI BibRef 8800

Lee, D.,
A Provably Convergent Algorithm for Shape from Shading,
DARPA85(489-496). BibRef 8500

Lee, D.,
Algorithms for Shape from Shading and Occluding Boundaries,
CVPR88(478-485).
IEEE DOI BibRef 8800

Smith, G.,
A Fast Surface Interpolation Technique,
DARPA84(211-215). BibRef 8400

Smith, G.,
The Relationship between Image Irradiance and Surface Orientation,
CVPR83(14-19). BibRef 8300
And: DARPA83(243-248). BibRef
Earlier:
The Recovery of Surface Orientation from Image Irradiance,
DARPA82(132-141). BibRef

Cernuschi-Frias, B., Bolle, R.M., Cooper, D.B.,
A New Conceptually Attractive and Computationally Effective Approach to Shape from Shading,
IJCAI83(966-968). BibRef 8300

Brown, C.M., Ballard, D.H.[Dana H.], and Kimball, O.A.,
Constraint Interaction in Shape-from-Shading Algorithms,
DARPA82(79-89). BibRef 8200

Potetz, B.[Brian], Hajiarbabi, M.[Mohammadreza],
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow,
CVPR13(1674-1681)
IEEE DOI 1309
Approximate inference BibRef

Bakshi, S., Yang, Y.H.[Yee-Hong],
Shape from shading for non-Lambertian surfaces,
ICIP94(II: 130-134).
IEEE DOI 9411
BibRef

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Shape from Shading, Planes, Planar Faces .