Tagare, H.D., and
de Figueiredo, R.J.P.,
A Theory of Photometric Stereo for a Class of
Diffuse Non-Lambertian Surfaces,
PAMI(13), No. 2, February 1991, pp. 133-152.
IEEE DOI
BibRef
9102
Earlier:
A Theory of Photometric Stereo for a General Class of Reflectance Maps,
CVPR89(38-45).
IEEE DOI Shape from shading for non-Lambertian surfaces.
Analysis and some results for simple objects.
See also Simultaneous Estimation of Shape and Reflectance Map from Photometric Stereo.
BibRef
Tian, Y.L.[Ying-Li],
Tsui, H.T.,
Shape Recovery from a Color Image for Non-Lambertian Surfaces,
JOSA-A(14), No. 2, February 1997, pp. 397-404.
9702
BibRef
Earlier:
Shape from Shading for Non-Lambertian Surfaces from One Color Image,
ICPR96(I: 258-262).
IEEE DOI
9608
(Chinese Univ. of Hong Kong, HK)
BibRef
Tian, Y.L.,
Tsui, H.T.,
3D Shape Recovery from Two Color Image Sequences Using a
Genetic Algorithm,
ICPR96(IV: 674-678).
IEEE DOI
9608
(Chinese Univ. of Hong Kong, HK)
BibRef
Yu, T.L.[Tian-Li],
Xu, N.[Ning],
Ahuja, N.[Narendra],
Shape and View Independent Reflectance Map from Multiple Views,
IJCV(73), No. 2, June 2007, pp. 123-138.
Springer DOI
0702
BibRef
Earlier:
Recovering shape and reflectance model of non-lambertian objects from
multiple views,
CVPR04(II: 226-233).
IEEE DOI
0408
BibRef
Yu, T.L.[Tian-Li],
Ahuja, N.[Narendra],
Chen, W.C.[Wei-Chao],
SDG Cut: 3D Reconstruction of Non-lambertian Objects Using Graph Cuts
on Surface Distance Grid,
CVPR06(II: 2269-2276).
IEEE DOI
0606
BibRef
d'Angelo, P.[Pablo],
Wöhler, C.[Christian],
Image-based 3D surface reconstruction by combination of photometric,
geometric, and real-aperture methods,
PandRS(63), No. 3, May 2008, pp. 297-321.
Elsevier DOI
0711
BibRef
Earlier:
Image-based 3D Surface Reconstruction by Combination of Sparse
Depth Data with Shape from Shading and Polarisation,
PCV06(xx-yy).
PDF File.
0609
BibRef
Earlier:
3D Surface Reconstruction Based on Combined Analysis of Reflectance and
Polarisation Properties: A Local Approach,
BenCOS05(xx-yy).
PDF File.
0510
BibRef
And:
3D Surface Reconstruction by Combination of Photopolarimetry and Depth
from Defocus,
DAGM05(176).
Springer DOI
0509
BibRef
Earlier:
3D Reconstruction of Metallic Surfaces by Photopolarimetric Analysis,
SCIA05(689-698).
Springer DOI
0506
Close-range photogrammetry; Metrology; Three-dimensional reconstruction;
Vision; Polarization
BibRef
Wöhler, C.[Christian],
d'Angelo, P.[Pablo],
Stereo Image Analysis of Non-Lambertian Surfaces,
IJCV(81), No. 2, February 2009, pp. xx-yy.
Springer DOI
0901
BibRef
Wöhler, C.[Christian],
d'Angelo, P.[Pablo],
Krüger, L.[Lars],
Kuhl, A.[Annika],
Groß, H.M.[Horst-Michael],
Monocular 3D scene reconstruction at absolute scale,
PandRS(64), No. 6, November 2009, pp. 529-540.
Elsevier DOI
1001
BibRef
Earlier: A4, A1, A3, A2, A5:
Monocular 3D Scene Reconstruction at Absolute Scales by Combination of
Geometric and Real-Aperture Methods,
DAGM06(607-616).
Springer DOI
0610
Close-range photogrammetry; Reconstruction; Metrology; Bundle
adjustment; Industry
BibRef
Cheng, K.H.M.,
Kumar, A.,
Revisiting Outlier Rejection Approach for Non-Lambertian Photometric
Stereo,
IP(28), No. 3, March 2019, pp. 1544-1555.
IEEE DOI
1812
Estimation, Reflection, Reliability, Filtering,
Surface reconstruction, Lighting, Mathematical model,
general reflectance
BibRef
Shi, B.X.[Bo-Xin],
Mo, Z.P.[Zhi-Peng],
Wu, Z.[Zhe],
Duan, D.L.[Ding-Long],
Yeung, S.K.[Sai-Kit],
Tan, P.[Ping],
A Benchmark Dataset and Evaluation for Non-Lambertian and
Uncalibrated Photometric Stereo,
PAMI(41), No. 2, February 2019, pp. 271-284.
IEEE DOI
1901
BibRef
Earlier: A1, A3, A2, A4, A5, A6:
CVPR16(3707-3716)
IEEE DOI
1612
Dataset, Photometric Stereo. Lighting, Taxonomy, Benchmark testing, Shape, Brain modeling, Cameras,
Heuristic algorithms, Photometric stereo, benchmark, dataset,
uncalibrated
BibRef
Shi, B.X.[Bo-Xin],
Inose, K.[Kenji],
Matsushita, Y.[Yasuyuki],
Tan, P.[Ping],
Yeung, S.K.[Sai-Kit],
Ikeuchi, K.[Katsushi],
Photometric Stereo Using Internet Images,
3DV14(361-368)
IEEE DOI
1503
Image reconstruction
BibRef
Shen, L.[Li],
Tan, P.[Ping],
Photometric stereo and weather estimation using internet images,
CVPR09(1850-1857).
IEEE DOI
0906
BibRef
Zheng, Q.,
Kumar, A.,
Shi, B.,
Pan, G.,
Numerical Reflectance Compensation for Non-Lambertian Photometric
Stereo,
IP(28), No. 7, July 2019, pp. 3177-3191.
IEEE DOI
1906
compensation, least squares approximations, minimisation,
photometry, stereo image processing, Lambertian assumption,
non-Lambertian
BibRef
Wang, X.,
Jian, Z.,
Ren, M.,
Non-Lambertian Photometric Stereo Network Based on Inverse
Reflectance Model With Collocated Light,
IP(29), 2020, pp. 6032-6042.
IEEE DOI
2005
Reflectivity, Estimation, Surface treatment, Surface fitting,
Machine learning, Feature extraction, Mathematical model,
non-Lambertian photometric stereo network
BibRef
Ren, J.,
Wang, X.,
Jian, Z.,
Ren, M.,
Multiscale Convolutional Fusion Network for Non-Lambertian
Photometric Stereo,
SPLetters(27), 2020, pp. 1929-1933.
IEEE DOI
2011
Lighting, Feature extraction, Convolution, Reflection, Reflectivity,
Fuses, Computational modeling, Photometric stereo,
Stereo vision
BibRef
Chen, G.Y.[Guan-Ying],
Han, K.[Kai],
Shi, B.X.[Bo-Xin],
Matsushita, Y.[Yasuyuki],
Wong, K.Y.K.[Kwan-Yee K.],
Deep Photometric Stereo for Non-Lambertian Surfaces,
PAMI(44), No. 1, January 2022, pp. 129-142.
IEEE DOI
2112
Lighting, Shape, Analytical models, Training, Testing, Estimation,
Deep learning, Photometric stereo, non-Lambertian, uncalibrated,
convolutional neural network
BibRef
Shi, J.[Jian],
Dong, Y.[Yue],
Su, H.[Hao],
Yu, S.X.[Stella X.],
Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories,
CVPR17(5844-5853)
IEEE DOI
1711
Decoding, Lighting, Machine learning, Mathematical model,
Rendering (computer graphics), Spatial resolution, Training
BibRef
Smith, W.A.P.[William A. P.],
Hancock, E.R.[Edwin R.],
A New Framework for Grayscale and Colour Non-lambertian
Shape-from-Shading,
ACCV07(II: 869-880).
Springer DOI
0711
BibRef
Schlüns, K.[Karsten],
Photometric stereo for non-lambertian surfaces using color information,
CAIP93(444-451).
Springer DOI
9309
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Light Source Detection, Light Source Estimation .