9.7 Shape from Texture

Chapter Contents (Back)
Texture, Shape. Shape from Texture.

Bajcsy, R.K.[Ruzena K.],
Computer Identification of Visual Surfaces,
CGIP(2), No. 2, October 1973, pp. 118-130.
Elsevier DOI BibRef 7310
And: Ph.D.Thesis (CS), 1972, BibRef Stanford AIMemo 180. Shape from Texture. BibRef
And:
Computer Description of Textured Surfaces,
IJCAI73(572-579). BibRef
Earlier:
Computer Identification of Textured Visual Scene,
Stanford AIMemo 173, 1972. Fourier transform technique for surface orientation from texture gradients. BibRef

Witkin, A.P.[Andrew P.],
Recovering Surface Shape and Orientation from Texture,
AI(17), No. 1-3, August 1981, pp. 17-45.
Elsevier DOI BibRef 8108
Earlier:
A Statistical Technique for Recovering Surface Orientation from Texture in Natural Imagery,
AAAI-80(1-3). This is the paper that shows computed surface orientations for several scenes. The orientations are intuitive, not exact. BibRef

Sedgwick, H.A.,
Environmental-Centered Representation of Spatial Layout: Available Visual Information from Texture and Perspective,
HMV83(425-458). BibRef 8300

Ikeuchi, K.[Katsushi],
Shape from Regular Patterns,
AI(22), No. 1, January 1984, pp. 49-75.
Elsevier DOI BibRef 8401
And:
Shape from Regular Patterns: An Example of Constraint Propagation in Vision,
ICPR80(1032-1039). BibRef
And: MIT AI Memo-567, March 1980. Argues for texture analysis under spherical projection. BibRef

Leu, J.G., Wee, W.G.,
Detecting the Spatial Structure of Natural Textures Based on Shape Analysis,
CVGIP(31), No. 1, July 1985, pp. 67-88.
Elsevier DOI BibRef 8507

Aloimonos, Y., and Swain, M.J.,
Shape from Patterns: Regularization,
IJCV(2), No. 2, September 1988, pp. 171-187.
Springer DOI Relaxation. An approximate perspective image model and a relaxation algorithm (regularization) combined to give surface descriptions from the texture patterns. Use edge features. BibRef 8809

Aloimonos, Y., Swain, M.J., :
Shape from Texture,
BioCyber(58), No. 5, 1988, pp. 345-360. BibRef 8800 IJCAI85(926-931). BibRef

Hervé, J.Y.[Jean-Yves], Aloimonos, J.Y.[John Yiannis],
Shading into texture and texture into shading: An active approach,
ECCV90(586-588).
Springer DOI 9004
BibRef

Naito, S.[Seiichiro], Rosenfeld, A.[Azriel],
Shape from Random Planar Features,
CVGIP(42), No. 3, June 1988, pp. 345-370.
Elsevier DOI Line drawings. BibRef 8806

Kanatani, K.I.[Ken-Ichi], Chou, T.C.[Tsai-Chia],
Shape from Texture: General Principle,
AI(38), No. 1, February 1989, pp. 1-48.
Elsevier DOI Use edge features.
See also Detection of Surface Orientation and Motion from Texture by a Stereological Technique. BibRef 8902

Wu, Z.Q.[Zhong-Quan], Li, L.X.[Ling-Xiao],
A Line-Integration Based Method for Depth Recovery from Surface Normals,
CVGIP(43), No. 1, July 1988, pp. 53-66.
Elsevier DOI BibRef 8807
Earlier: ICPR88(I: 591-595).
IEEE DOI BibRef

Gårding, J.,
Direct Estimation of Shape from Texture,
PAMI(15), No. 11, November 1993, pp. 1202-1208.
IEEE DOI BibRef 9311
And: ISRN KTH/NA/P--92/24--SE. BibRef
Earlier:
Shape from Texture for Smooth Curved Surfaces,
ECCV92(630-638).
Springer DOI And longer:
PS File. BibRef

Gårding, J.[Jonas],
Shape from Texture and Contour by Weak Isotropy,
AI(64), No. 2, December 1993, pp. 243-297.
Elsevier DOI BibRef 9312
Earlier: ICPR90(I: 324-330).
IEEE DOI BibRef
And: ISRN KTH/NA/P--90/12--SE. BibRef
And:
Shape from Surface Markings,
Ph.D.Thesis (Stockholm), May 1991.
HTML Version. And longer:
PS File. Some results. BibRef

Gårding, J.,
Shape from Texture for Smooth Curved Surfaces in Perspective Projection,
JMIV(2), 1992, pp. 329-352. BibRef 9200
And: ISRN KTH/NA/P-92/03-SE. BibRef
Earlier: ECCV92
HTML Version. And Postscript:
PS File. BibRef

Gårding, J.,
Estimating the Orientation of Multiple Textured Planes,
SCIA89(228-236). BibRef 8900

Gårding, J.[Jonas],
Surface Orientation and Curvature from Differential Texture Distortion,
ICCV95(733-739).
IEEE DOI BibRef 9500

Lindeberg, T., and Gårding, J.,
Shape from Texture from a Multi-Scale Perspective,
ICCV93(683-691).
IEEE DOI BibRef 9300
And: ISRN KTH/NA/P--93/03--SE January 1993.
HTML Version. And longer:
PS File. Get local structure from the texture elements. BibRef

Cohen, F.S., Fan, Z., and Patel, M.A.S.,
Classification of Rotated and Scaled Textured Images Using Gaussian Markov Random Field Models,
PAMI(13), No. 2, February 1991, pp. 192-202.
IEEE DOI BibRef 9102

Patel, M.A.S., and Cohen, F.S.,
Local Surface Shape Estimation of 3-D Textured Surfaces Using Gaussian Markov Random Fields and Stereo,
PAMI(15), No. 10, October 1993, pp. 1091-1098.
IEEE DOI BibRef 9310
Earlier:
Shape from Texture Using Markov Random Field Models and Stereo-Windows,
CVPR92(290-295).
IEEE DOI Shape from Texture. BibRef

Super, B.J.[Boaz J.], Bovik, A.C.[Alan C.],
Shape from Texture Using Local Spectral Moments,
PAMI(17), No. 4, April 1995, pp. 333-343.
IEEE DOI BibRef 9504
Earlier:
Shape-from-Texture by Wavelet-Based Measurement of Local Spectral Moments,
CVPR92(296-301).
IEEE DOI Uses Gabor functions to get better spatial-frequency moments.
See also Planar Surface Orientation from Texture Spatial-Frequencies. BibRef

Malik, J., Rosenholtz, R.,
Computing Local Surface Orientation and Shape from Texture for Curved Surfaces,
IJCV(23), No. 2, June 1997, pp. 149-168.
DOI Link
PDF File. 9708
BibRef

Rosenholtz, R., Malik, J.,
Surface Orientation from Texture: Isotropy or Homogeneity (or both)?,
Vision Research(37), No. 16, 1997, pp. 2283-2293. BibRef 9700

Malik, J., Rosenholtz, R.,
A Differential Method for Computing Local Shape-from-Texture for Planar and Curved Surfaces,
CVPR93(267-273).
IEEE DOI BibRef 9300
And: UCBCSD-93-775, 1993. BibRef

Malik, J., Rosenholtz, R.,
Recovering Surface Curvature and Orientation from Texture Distortion: A Least Squares Algorithm and Sensitivity Analysis,
ECCV94(A:351-364).
Springer DOI BibRef 9400

Black, M.J., Rosenholtz, R.,
Robust Estimation of Multiple Surface Shapes from Occluded Textures,
SCV95(485-490).
IEEE DOI Xerox Palo Alto Research Center. Multiple surfaces, like a picket fence. Spatial-Frequency approach. BibRef 9500

Moerdler, M.L., and Boult, T.E.,
The Integration of Information for Stereo and Multiple Shape-from-Texture Cues,
CVPR88(524-529).
IEEE DOI BibRef 8800
And: DARPA88(786-793). Fusion, Stereo and Texture. Combine several different approaches. BibRef

Moerdler, M.L.,
Multiple Shape-from-Texture into Texture Analysis and Surface Segmentation,
ICCV88(316-320).
IEEE DOI Integrates multiple cues. Differs from the CVPR88(524-529) paper above in that is is only texture. The other uses other cues. BibRef 8800

Moerdler, M.L., and Kender, J.R.,
An Integrated System That Unifies Multiple Shape from Texture Algorithms,
AAAI-87(723-727). BibRef 8700
And: DARPA87(574-580). BibRef
And:
An Approach To The Fusion Of Multiple Shape From Texture Algorithms,
SRMSF87(272-281). The return to shape from texture, with multiple methods. BibRef

Moerdler, M.L.,
Shape from Textures: A Paradigm for Fusing Middle-Level Visual Cues,
Ph.D.Thesis (CS), May 1989, BibRef 8905 ColumbiaUniv. BibRef

Kender, J.R.,
Shape from Texture,
KluwerAcademic Pubs., 1980. BibRef 8000
And: Ph.D.Thesis (CS), BibRef CMU-CS-TR-81-102, CMU CS Dept. November 1980. BibRef
Earlier:
Shape from Texture: A Computational Paradigm,
DARPA79(134-138). BibRef
Earlier:
Shape from Texture: An Aggregation Transform That Maps a Class of Textures into Surface Orientation,
IJCAI79(475-480). BibRef
Earlier:
Shape from Texture: A Brief Overview and a New Aggregation Transform,
DARPAN78(79-84). Shape from texture gradients. BibRef

Kender, J.R.[John R.], and Kanade, T.[Takeo],
Mapping Image Properties into Shape Constraints: Skewed Symmetry, Affine-Transformable Patterns, and the Shape-from-Texture Paradigm,
HMV83(237-257), reprinted in BibRef 8300 RCV87(257-267). BibRef
Earlier: AAAI-80(4-6). Skew Symmetry. A general discussion of the techniques used to get orientation and shape. BibRef

Kender, J.R.,
A Computational Paradigm for Deriving Local Surface Orientation from Local Textural Properties,
CVWS82(143-152). BibRef 8200

Sakai, K., Finkel, L.H.,
A Shape-from-Texture Algorithm Based on the Human Visual Psychophysics,
CVPR94(527-532).
IEEE DOI BibRef 9400

Krumm, J.[John],
Space/Frequency Shape Inference and Segmentation of Textured 3D Surfaces,
CMU-RI-TR-93-32, December 1993. BibRef 9312 Ph.D.Thesis. BibRef

Krumm, J.[John], Shafer, S.A.[Steven A.],
Texture Segmentation and Shape in the Same Image,
ICCV95(121-127).
IEEE DOI Segmentation, Texture. Get shape (surface orientation) from the spectrogram, transform in 3-D, segment based on the texture. Spatial-Frequency approach. BibRef 9500

Krumm, J.[John], and Shafer, S.A.[Steven A.],
Segmenting Textured 3D Surfaces Using the Space/Frequency Representation,
SV(8), 1994, pp. 281-308. BibRef 9400
Earlier: CMU-RI-TR-93-14, May 1993. Segments the planar textures. BibRef

Krumm, J., and Shafer, S.A.,
Shape from Periodic Texture Using the Spectrogram,
CVPR92(284-289).
IEEE DOI BibRef 9200
Earlier:
Local Spatial Frequence Analysis for Computer Vision,
ICCV90(354-358).
IEEE DOI BibRef
And: DARPA90(213-230), BibRef CMU-RI-TR-90-11, CMU Robotics Institute, May 1990. Transform of Fouier-Transform of patches yields surface normals.k BibRef

Davis, L.S., Janos, L., and Dunn, S.M.,
Efficient Recovery of Shape from Texture,
PAMI(5), No. 5, September 1983, pp. 485-492. Maximum likelihood model for shape recovery. BibRef 8309

Chang, S., Davis, L.S., Dunn, S.M., Rosenfeld, A., and Eklundh, J.O.,
Texture Discrimination by Projective Invariants,
PRL(5), May 1987, pp. 337-342. BibRef 8705

Jau, J.Y.[Jack Y.], Chin, R.T.[Roland T.],
Shape from Texture Using the Wigner Distribution,
CVGIP(52), No. 2, November 1990, pp. 248-263.
Elsevier DOI BibRef 9011
Earlier: CVPR88(515-523).
IEEE DOI Planar surface tilt from texture measures. BibRef

Chen, S.S.[Susan S.], Keller, J.M.[James M.], Crownover, R.M.[Richard M.],
Shape from Fractal Geometry,
AI(43), No. 2, May 1990, pp. 199-218.
Elsevier DOI Fractals. Really surface orientation of planar surfaces from fractal measures. Uses the Holder constant, which is scale variant. BibRef 9005

Blostein, D., and Ahuja, N.[Narendra],
Shape from Texture: Integrating Texture-Element Extraction and Surface Estimation,
PAMI(11), No. 12, December 1989, pp. 1233-1251.
IEEE DOI BibRef 8912
Earlier:
Representation and Three-Dimensional Interpretation of Image Texture: An Integrated Approach,
ICCV87(444-449).
See also Multi-scale Region Detector, A. Find surfaces in perspective views of mostly uniform textures. Extract the individual elements and get the orientation based on the sizes of the elements. BibRef

Ahuja, N., and Huang, T.S.,
IU at UI: An Overview and an Example on Shape from Texture,
DARPA88(222-253). BibRef 8800

Blake, A.[Andrew], and Marinos, C.[Constantinos],
Shape from Texture: Estimation, Isotropy and Moments,
AI(45), No. 3, October 1990, pp. 323-380.
Elsevier DOI BibRef 9010
And: A2, A1:
Shape from Texture: The Homogeneity Hypothesis,
ICCV90(350-353).
IEEE DOI BibRef

Choe, Y., and Kashyap, R.L.,
3-D Shape from a Shaded Textural Surface Image,
PAMI(13), No. 9, September 1991, pp. 907-919.
IEEE DOI BibRef 9109
Earlier:
Shape from Texture and Shaded Surface,
ICPR90(I: 294-296).
IEEE DOI Combine texture and shading techniques using a patch by patch technique. BibRef

Arya, S., DeMenthon, D.F., Meer, P., and Davis, L.S.,
Textural Analysis of Range Images,
PRL(12), 1991, pp. 619-626. BibRef 9100

Chantler, M.J.,
Why Illuminant Direction is Fundamental to Texture Analysis,
VISP(142), No. 4, August 1995, pp. 199-206. BibRef 9508

Sato, J.[Jun], Cipolla, R.[Roberto],
Extracting Group Transformations from Image Moments,
CVIU(73), No. 1, January 1999, pp. 29-42.
DOI Link
HTML Version.
PS File. BibRef 9901
Earlier:
Extracting the Affine Transformation from Texture Moments,
ECCV94(B:165-172).
Springer DOI
See also Image Registration Using Multi-Scale Texture Moments. How the moments of image curves are changed by group transformations. Derive a relationship between the change in image moments and the invariant vector fields of the transformation groups. Apply to robot navigation task. BibRef

Stone, J.V., Isard, S.D.,
Adaptive Scale Filtering: A General-Method For Obtaining Shape From Texture,
PAMI(17), No. 7, July 1995, pp. 713-718.
IEEE DOI Generates filters for each texel to derive the surface orientation. Applied to images of a single texture pattern. BibRef 9507

Stone, J.V.[James V.],
The Adaptive Bisector Method: Separating Slant and Tilt in Estimating Shape from Texture,
BMVC92(xx-yy).
PDF File. 9209
BibRef
Earlier:
Shape from texture: textural invariance and the problem of scale in perspective images of textured surfaces,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Singh, R.K., Ramakrishna, R.S.,
Shadows and Texture in Computer Vision,
PRL(11), 1990, pp. 133-141. BibRef 9000

Smith, M.L., Hill, T., Smith, G.,
Surface Texture Analysis Based Upon the Visually Acquired Perturbation of Surface Normals,
IVC(15), No. 12, December 1997, pp. 949-955.
Elsevier DOI 9802
BibRef

Lee, K.M., Kuo, C.C.J.[C. C. Jay],
Direct Shape from Texture Using a Parametric Surface Model and an Adaptive Filtering Technique,
CVPR98(402-407).
IEEE DOI BibRef 9800

Ballester, C., Gonzalez, M.,
Affine Invariant Texture Segmentation and Shape from Texture by Variational Methods,
JMIV(9), No. 2, September 1998, pp. 141-171.
DOI Link 9811
BibRef

Hong, H.K.[Hyun-Ki], Myung, Y.C.[Yun-Chan], Choi, J.S.[Jong-Soo],
3-D analysis of projective textures using structural approaches,
PR(32), No. 3, March 1999, pp. 357-364.
Elsevier DOI BibRef 9903

Kovalev, V.A.[Vassili A.], Petrou, M., Bondar, Y.S.[Yaroslav S.],
Texture Anisotropy in 3-D Images,
IP(8), No. 3, March 1999, pp. 346-360.
IEEE DOI BibRef 9903

Kovalev, V.A.[Vassili A.], Bondar, Y.S.[Yaroslav S.],
A method for anisotropy analysis of 3D images,
CAIP97(495-502).
Springer DOI 9709
BibRef

van Ginneken, B.[Bram], Koenderink, J.J.[Jan J.], Dana, K.J.[Kristin J.],
Texture histograms as a function of irradiation and viewing direction,
IJCV(31), No. 2/3, April 1999, pp. 169-184.
DOI Link BibRef 9904

Dana, K.J.[Kristin J.], van Ginneken, B.[Bram], Nayar, S.K.[Shree K.], Koenderink, J.J.[Jan J.],
Reflectance and Texture of Real-World Surfaces,
TOG(18), No. 1, January 1999, pp. 1-34.
PDF File. BibRef 9901
Earlier: A1, A3, A2, A4: CVPR97(151-157).
IEEE DOI 9704
BibRef
And: DARPA97(1419-1424). Textures over wide viewing conditions. BibRef

Saint Onge, B.[Benoît],
Topographic Effects on the Texture of High-Resolution Forest-Stand Images Measured by the Semivariogram,
PhEngRS(65), No. 8, August 1999, pp. 923. Topography affects texture mostly in sparse stands, and the gradient-induced error in estimate of tree size and density is low. BibRef 9908

Tsai, D.M., Hsieh, C.Y.,
Automated surface inspection for directional textures,
IVC(18), No. 1, December 1999, pp. 49-62.
Elsevier DOI 0001
BibRef

Clerc, M., Mallat, S.G.,
The Texture Gradient Equation for Recovering Shape from Texture,
PAMI(24), No. 4, April 2002, pp. 536-549.
IEEE DOI 0204
BibRef
Earlier:
Shape from Texture through Deformations,
ICCV99(405-410).
IEEE DOI Perspective transform. Use statistical estimation technique. BibRef

Prins, N.[Nicolaas], Kingdom, F.A.A.[Frederick A. A.],
Detection and discrimination of texture modulations defined by orientation, spatial frequency, and contrast,
JOSA-A(20), No. 3, March 2003, pp. 401-410.
WWW Link. 0304
BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.], Kappers, A.M.L.[Astrid M. L.], te Pas, S.F.[Susan F.], Pont, S.C.[Sylvia C.],
Illumination direction from texture shading,
JOSA-A(20), No. 6, June 2003, pp. 987-995.
WWW Link. 0307
BibRef

Koenderink, J.J.[Jan J.], Pont, S.C.[Sylvia C.],
Irradiation direction from texture,
JOSA-A(20), No. 10, October 2003, pp. 1875-1882.
WWW Link. 0310
BibRef

Koenderink, J.J., Pont, S.C.[Sylvia C.],
Texture at the terminator,
3DPVT02(406-415).
IEEE DOI 0206
BibRef

Lelandais, S., Boutté, L., Plantier, J.,
Shape From Texture: Local Scales And Vanishing Line Computation To Improve Results For Macrotextures,
IJIG(5), No. 2, April 2005, pp. 329-350. 0504
BibRef
Earlier: A3, A1, A2:
A Shape from Texture Method Based on Local Scales Extraction: Precision and Results,
ICIP01(II: 261-264).
IEEE DOI 0108
BibRef

Lobay, A.[Anthony], Forsyth, D.A.,
Shape from Texture without Boundaries,
IJCV(67), No. 1, April 2006, pp. 71-91.
Springer DOI 0604
BibRef
Earlier: A2 only: ECCV02(III: 225 ff.).
Springer DOI 0205
BibRef

Forsyth, D.A.[David A.],
Shape from Texture and Integrability,
ICCV01(II: 447-452).
IEEE DOI Or:
PDF File. 0106
BibRef

Sakai, K.[Ko], Narushima, K.[Kazuki], Aoki, N.[Natsuko],
Facilitation of shape-from-shading perception by random textures,
JOSA-A(23), No. 8, August 2006, pp. 1805-1813.
WWW Link. 0610
Add random texture to the shading and people see the 3D better. BibRef

Massot, C.[Corentin], Hérault, J.[Jeanny],
Model of Frequency Analysis in the Visual Cortex and the Shape from Texture Problem,
IJCV(76), No. 2, February 2008, pp. 165-182.
Springer DOI 0801
BibRef

Li, S.[Shuai], Lei, J.J.[Jian-Jun], Zhu, C.[Ce], Yu, L.[Lu], Hou, C.P.[Chun-Ping],
Pixel-Based Inter Prediction in Coded Texture Assisted Depth Coding,
SPLetters(21), No. 1, January 2014, pp. 74-78.
IEEE DOI 1402
image texture BibRef

Lei, J.J.[Jian-Jun], Li, S.[Shuai], Zhu, C.[Ce], Sun, M., Hou, C.P.[Chun-Ping],
Depth Coding Based on Depth-Texture Motion and Structure Similarities,
CirSysVideo(25), No. 2, February 2015, pp. 275-286.
IEEE DOI 1502
Encoding BibRef

Zhang, Y.B.[Yong-Bing], Zhang, J.[Jian], Dai, Q.H.[Qiong-Hai],
Texture aided depth frame interpolation,
SP:IC(29), No. 8, 2014, pp. 864-874.
Elsevier DOI 1410
Texture aided motion estimation BibRef

Doghraji, S.[Salma], Donias, M.[Marc], Berthoumieu, Y.[Yannick],
Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction,
IP(27), No. 9, September 2018, pp. 4367-4381.
IEEE DOI 1807
BibRef
Earlier:
Recursive orientation estimation based on hypersurface reconstruction,
ICIP15(368-372)
IEEE DOI 1512
geometry, image reconstruction, image texture, tensors, accurate space transformations, structure tensor. Hyper-surface reconstruction BibRef

Verbin, D., Zickler, T.,
Toward a Universal Model for Shape From Texture,
CVPR20(419-427)
IEEE DOI 2008
Shape, Generators, Games, Surface treatment, Surface texture, Stochastic processes, Computational modeling BibRef

Oechsle, M., Mescheder, L., Niemeyer, M., Strauss, T., Geiger, A.,
Texture Fields: Learning Texture Representations in Function Space,
ICCV19(4530-4539)
IEEE DOI 2004
image reconstruction, image representation, image texture, learning (artificial intelligence), neural nets, solid modelling, Neural networks BibRef