9.4.3 Non-Lambertian Photometric Stereo

Chapter Contents (Back)
Shape from Shading, Multiple Images. Shape from Multiple Light Sources. Photometric Stereo. Multiple Light Sources. Non-Lambertian.

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


Honzátko, D.[David], Türetken, E.[Engin], Fua, P.[Pascal], Dunbar, L.A.[L. Andrea],
Leveraging Spatial and Photometric Context for Calibrated Non-Lambertian Photometric Stereo,
3DV21(394-402)
IEEE DOI 2201
Heating systems, Convolutional codes, Reflectivity, Solid modeling, Shape, Neural networks, photometric stereo, non-lambertian, Heat maps 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 .


Last update:Dec 4, 2022 at 15:58:45