Jin, H.L.[Hai-Lin],
Yezzi, A.J.,
Tsai, Y.H.,
Cheng, L.T.,
Soatto, S.,
Estimation of 3D surface shape and smooth radiance from 2D images:
A Level Set Approach,
SIAM_JSC(19), No. 1-3, 2003, pp. 267-292.
DOI Link
BibRef
0300
Jin, H.L.[Hai-Lin],
Soatto, S.,
Yezzi, A.J.,
Multi-view stereo beyond Lambert,
CVPR03(I: 171-178).
IEEE DOI
0307
BibRef
Jin, H.L.[Hai-Lin],
Variational methods for shape reconstruction in computer vision,
Ph.D.Thesis, EE Department, Washington University, August 2003.
BibRef
0308
Soatto, S.,
Yezzi, A.J.,
Jin, H.L.[Hai-Lin],
Tales of shape and radiance in multi-view stereo,
ICCV03(974-981).
IEEE DOI
0311
Decouple shape from radiance for Lambertian model.
BibRef
Kim, H.[Howon],
Kweon, I.S.[In So],
Appearance-Cloning:
Photo-Consistent Scene Recovery from Multi-View Images,
IJCV(66), No. 2, Feburary 2006, pp. 163-192.
Springer DOI
0604
Search for a photo-consistent shape based on probabilistic shape measure.
BibRef
Vogiatzis, G.[George],
Hernˇndez-Esteban, C.[Carlos],
Torr, P.H.S.[Philip H. S.],
Cipolla, R.[Roberto],
Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust
Photo-Consistency,
PAMI(29), No. 12, December 2007, pp. 2241-2246.
IEEE DOI
0711
Find optimal partition into 3-D space, object and empty (background).
BibRef
Hernˇndez-Esteban, C.[Carlos],
Vogiatzis, G.[George],
Cipolla, R.[Roberto],
Multiview Photometric Stereo,
PAMI(30), No. 3, March 2008, pp. 548-554.
IEEE DOI
0801
BibRef
Earlier:
Probabilistic visibility for multi-view stereo,
CVPR07(1-8).
IEEE DOI
0706
Texturless shiny objects.
Uses silhouettes in addition to multiple views.
BibRef
Vogiatzis, G.[George],
Hernandez, C.[Carlos],
Video-based, real-time multi-view stereo,
IVC(29), No. 7, June 2011, pp. 434-441.
Elsevier DOI
1101
BibRef
Earlier: A2, A1:
Self-calibrating a real-time monocular 3d facial capture system,
3DPVT10(xx-yy).
WWW Link.
1005
Real-time; Multi-view stereo; 3d reconstruction; Shape-from-X
BibRef
Campbell, N.D.F.,
Vogiatzis, G.,
Hernandez, C.,
Cipolla, R.,
Automatic 3D Object Segmentation in Multiple Views using Volumetric
Graph-Cuts,
IVC(28), No. 1, Januray 2010, pp. 14-25.
Elsevier DOI
1001
BibRef
Earlier:
BMVC07(xx-yy).
PDF File.
0709
Segmentation; Multiple view; Graph-cut
BibRef
Vogiatzis, G.,
Torr, P.H.S.,
Cipolla, R.,
Multi-View Stereo via Volumetric Graph-Cuts,
CVPR05(II: 391-398).
IEEE DOI
0507
BibRef
Park, J.[Jaesik],
Sinha, S.N.[Sudipta N.],
Matsushita, Y.[Yasuyuki],
Tai, Y.W.[Yu-Wing],
Kweon, I.S.[In So],
Robust Multiview Photometric Stereo Using Planar Mesh
Parameterization,
PAMI(39), No. 8, August 2017, pp. 1591-1604.
IEEE DOI
1707
BibRef
Earlier:
Multiview Photometric Stereo Using Planar Mesh Parameterization,
ICCV13(1161-1168)
IEEE DOI
1403
Estimation, Image resolution, Mesh generation, Robustness, Shape,
Two dimensional displays,
Multiview photometric stereo, planar, mesh, parametrization
BibRef
Gan, J.B.[Jiang-Bin],
Wilbert, A.[Alwin],
Thormählen, T.[Thorsten],
Drescher, P.[Philip],
Hagens, R.[Ralf],
Multi-view photometric stereo using surface deformation,
VC(34), No. 11, November 2018, pp. 1551-1561.
Springer DOI
WWW Link.
1810
BibRef
Li, M.,
Zhou, Z.,
Wu, Z.,
Shi, B.,
Diao, C.,
Tan, P.,
Multi-View Photometric Stereo: A Robust Solution and Benchmark
Dataset for Spatially Varying Isotropic Materials,
IP(29), 2020, pp. 4159-4173.
IEEE DOI
2002
Photometric stereo, isotropic reflectance, multi-view stereo,
3D reconstruction, BRDF capture
BibRef
Burdziakowski, P.[Pawel],
The Effect of Varying the Light Spectrum of a Scene on the
Localisation of Photogrammetric Features,
RS(16), No. 14, 2024, pp. 2644.
DOI Link
2408
BibRef
Zhao, D.X.[Dong-Xu],
Lichy, D.[Daniel],
Perrin, P.N.[Pierre-Nicolas],
Frahm, J.M.[Jan-Michael],
Sengupta, S.[Soumyadip],
MVPSNet: Fast Generalizable Multi-view Photometric Stereo,
ICCV23(12491-12502)
IEEE DOI
2401
BibRef
Chan, J.H.[Jun Hoong],
Yu, B.[Bohan],
Guo, H.[Heng],
Ren, J.[Jieji],
Lu, Z.Q.[Zong-Qing],
Shi, B.X.[Bo-Xin],
ReLeaPS: Reinforcement Learning-based Illumination Planning for
Generalized Photometric Stereo,
ICCV23(9133-9141)
IEEE DOI
2401
BibRef
Iwaguchi, T.[Takafumi],
Kawasaki, H.[Hiroshi],
Surface normal estimation from optimized and distributed light
sources using DNN-based photometric stereo,
WACV23(311-320)
IEEE DOI
2302
Shape, Neural networks, Estimation, Optical computing,
Optical variables control, Optical imaging, Optical noise,
3D computer vision
BibRef
Kaya, B.[Berk],
Kumar, S.[Suryansh],
Oliveira, C.[Carlos],
Ferrari, V.[Vittorio],
Van Gool, L.J.[Luc J.],
Multi-View Photometric Stereo Revisited,
WACV23(3125-3134)
IEEE DOI
2302
Solid modeling, Uncertainty, Shape, Volume measurement,
Materials reliability, Benchmark testing, 3D computer vision
BibRef
Tiwari, A.[Ashish],
Raman, S.[Shanmuganathan],
DeepPS2: Revisiting Photometric Stereo Using Two Differently
Illuminated Images,
ECCV22(VII:129-145).
Springer DOI
2211
BibRef
Yang, W.Q.[Wen-Qi],
Chen, G.Y.[Guan-Ying],
Chen, C.F.[Chao-Feng],
Chen, Z.F.[Zhen-Fang],
Wong, K.Y.K.[Kwan-Yee K.],
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo,
ECCV22(I:266-284).
Springer DOI
2211
BibRef
Kaya, B.[Berk],
Kumar, S.[Suryansh],
Oliveira, C.[Carlos],
Ferrari, V.[Vittorio],
Van Gool, L.J.[Luc J.],
Uncertainty-Aware Deep Multi-View Photometric Stereo,
CVPR22(12591-12601)
IEEE DOI
2210
Geometry, Surface reconstruction, Uncertainty, Shape, Estimation,
Pattern recognition, Physics-based vision and shape-from-X
BibRef
Kaya, B.[Berk],
Kumar, S.[Suryansh],
Sarno, F.[Francesco],
Ferrari, V.[Vittorio],
Van Gool, L.J.[Luc J.],
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo,
WACV22(3967-3979)
IEEE DOI
2202
Geometry, Solid modeling, Surface reconstruction,
Image synthesis, Benchmark testing,
Low-level and Physics-based Vision Multiview Photometric Stereo
BibRef
Bi, S.[Sai],
Xu, Z.X.[Ze-Xiang],
Sunkavalli, K.[Kalyan],
Hašan, M.[Miloš],
Hold-Geoffroy, Y.[Yannick],
Kriegman, D.[David],
Ramamoorthi, R.[Ravi],
Deep Reflectance Volumes: Relightable Reconstructions from Multi-view
Photometric Images,
ECCV20(III:294-311).
Springer DOI
2012
BibRef
Earlier: A1, A2, A3, A6, A7, Only:
Deep 3D Capture: Geometry and Reflectance From Sparse Multi-View
Images,
CVPR20(5959-5968)
IEEE DOI
2008
Image reconstruction, Geometry,
Estimation, Lighting, Feature extraction, Cameras
BibRef
Logothetis, F.,
Mecca, R.,
Cipolla, R.,
A Differential Volumetric Approach to Multi-View Photometric Stereo,
ICCV19(1052-1061)
IEEE DOI
2004
image reconstruction, octrees, partial differential equations,
ray tracing, stereo image processing, photometric stereo images,
Surface reconstruction
BibRef
Ackermann, J.[Jens],
Langguth, F.[Fabian],
Fuhrmann, S.[Simon],
Kuijper, A.[Arjan],
Goesele, M.[Michael],
Multi-view Photometric Stereo by Example,
3DV14(259-266)
IEEE DOI
1503
Calibration
BibRef
Zhou, Z.L.[Zheng-Long],
Wu, Z.[Zhe],
Tan, P.[Ping],
Multi-view Photometric Stereo with Spatially Varying Isotropic
Materials,
CVPR13(1482-1489)
IEEE DOI
1309
BibRef
Beljan, M.[Mate],
Ackermann, J.[Jens],
Goesele, M.[Michael],
Consensus Multi-view Photometric Stereo,
DAGM12(287-296).
Springer DOI
1209
BibRef
Sabzevari, R.[Reza],
del Bue, A.[Alessio],
Murino, V.[Vittorio],
Piecewise single view Photometric Stereo with multi-view constraints,
ICIP12(21-24).
IEEE DOI
1302
BibRef
Earlier:
Multi-view Photometric Stereo Using Semi-isometric Mappings,
3DIMPVT12(547-554).
IEEE DOI
1212
BibRef
Earlier:
Structure from Motion and Photometric Stereo for Dense 3D Shape
Recovery,
CIAP11(I: 660-669).
Springer DOI
1109
BibRef
Fu, Y.[Ying],
Liu, Y.B.[Ye-Bin],
Dai, Q.H.[Qiong-Hai],
Dynamic Shape Capture via Periodical-Illumination Optical Flow
Estimation and Multi-view Photometric Stereo,
3DIMPVT11(17-24).
IEEE DOI
1109
BibRef
Yoshiyasu, Y.[Yusuke],
Yamazaki, N.[Nobutoshi],
Topology-adaptive multi-view photometric stereo,
CVPR11(1001-1008).
IEEE DOI
1106
BibRef
Yoshiyasu, Y.[Yusuke],
Yamazaki, N.[Nobutoshi],
Detailed body shapes from flash photographs,
NORDIA09(280-287).
IEEE DOI
0910
For cloting and footwear design. Multi-view photometric stereo. Lighting
variations by moving camera.
BibRef
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Shape Using Color Images, Color Photometric Stereo .