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IEEE DOI
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Extended Gaussian Image.
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Abidi, M.A.,
Normal Vector Voting: Crease Detection and Curvature Estimation on
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GM(64), No. 3-4, May 2002, pp. 199-229.
DOI Link
0309
BibRef
Earlier: A1, A3, A2, A4, A5:
Robust Crease Detection and Curvature Estimation of Piecewise Smooth
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CVPR01(I:162-167).
IEEE DOI
0110
Curvature computations on a triangular mesh.
BibRef
Sun, Y.,
Page, D.L.,
Paik, J.K.,
Koschan, A.F.[Andreas F.],
Abidi, M.A.[Mongi A.],
Triangle mesh-based edge detection and its application to surface
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ICIP02(III: 825-828).
IEEE DOI
0210
BibRef
And:
Triangle mesh-based surface modeling using adaptive smoothing and
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3DPVT02(588-597).
IEEE DOI
0206
BibRef
Tasdizen, T.[Tolga],
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Higher-Order Nonlinear Priors for Surface Reconstruction,
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IEEE Abstract.
0406
BibRef
Earlier:
Anisotropic diffusion of surface normals for feature preserving surface
reconstruction,
3DIM03(353-360).
IEEE DOI
0311
BibRef
And:
Cramer-Rao bounds for nonparametric surface reconstruction from range
data,
3DIM03(70-77).
IEEE DOI
0311
Bayesian approach to surface reconstruction.
Likelihood term: tie data to surface estimate, and prior: ensure smoothness.
BibRef
Gerber, S.[Samuel],
Tasdizen, T.[Tolga],
Whitaker, R.T.[Ross T.],
Dimensionality reduction and principal surfaces via Kernel Map
Manifolds,
ICCV09(529-536).
IEEE DOI
0909
BibRef
Prakhya, S.M.[Sai Manoj],
Liu, B.B.[Bing-Bing],
Lin, W.S.[Wei-Si],
Detecting keypoint sets on 3D point clouds via Histogram of Normal
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PRL(83, Part 1), No. 1, 2016, pp. 42-48.
Elsevier DOI
1609
Keypoint detection
BibRef
Lachaud, J.O.[Jacques-Olivier],
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Roussillon, T.[Tristan],
Two Plane-Probing Algorithms for the Computation of the Normal Vector
to a Digital Plane,
JMIV(59), No. 1, September 2017, pp. 23-39.
Springer DOI
1708
BibRef
Earlier:
Computation of the Normal Vector to a Digital Plane by Sampling
Significant Points,
DGCI16(194-205).
WWW Link.
1606
BibRef
Coeurjolly, D.[David],
Gueth, P.[Pierre],
Lachaud, J.O.[Jacques-Olivier],
Digital Surface Regularization by Normal Vector Field Alignment,
DGCI17(197-209).
Springer DOI
1711
BibRef
Lachaud, J.O.[Jacques-Olivier],
Convergent Geometric Estimators with Digital Volume
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DGCI16(3-17).
WWW Link.
1606
BibRef
Mura, C.[Claudio],
Wyss, G.[Gregory],
Pajarola, R.[Renato],
Robust normal estimation in unstructured 3D point clouds by selective
normal space exploration,
VC(34), No. 6-8, June 2018, pp. 961-971.
Springer DOI
1806
BibRef
Sanchez, J.[Julia],
Denis, F.[Florence],
Coeurjolly, D.[David],
Dupont, F.[Florent],
Trassoudaine, L.[Laurent],
Checchin, P.[Paul],
Robust normal vector estimation in 3D point clouds through iterative
principal component analysis,
PandRS(163), 2020, pp. 18-35.
Elsevier DOI
2005
Normal vector, Point cloud, Sharp features, M-estimator, Weighted PCA
BibRef
Théodose, R.[Ruddy],
Denis, D.[Dieumet],
Chateau, T.[Thierry],
Fremont, V.[Vincent],
Checchin, P.[Paul],
A Deep Learning Approach for LiDAR Resolution-Agnostic Object
Detection,
ITS(23), No. 9, September 2022, pp. 14582-14593.
IEEE DOI
2209
Point cloud compression, Object detection, Laser radar, Cameras,
Image resolution, Training, Deep learning, 3D object detection, LiDAR sensor
BibRef
Lachaud, J.O.[Jacques-Olivier],
Meyron, J.[Jocelyn],
Roussillon, T.[Tristan],
An Optimized Framework for Plane-Probing Algorithms,
JMIV(62), No. 5, June 2020, pp. 718-736.
Springer DOI
2007
BibRef
Cao, H.,
Zhan, R.,
Ma, Y.,
Ma, C.,
Zhang, J.,
LFNet: Local Rotation Invariant Coordinate Frame for Robust Point
Cloud Analysis,
SPLetters(28), 2021, pp. 209-213.
IEEE DOI
2102
Convolution, Graphical models,
Distribution functions, Kernel, Feature extraction, Transforms,
local point patches
BibRef
Ju, Y.,
Dong, J.,
Chen, S.,
Recovering Surface Normal and Arbitrary Images: A Dual Regression
Network for Photometric Stereo,
IP(30), 2021, pp. 3676-3690.
IEEE DOI
2103
Surface reconstruction, Image reconstruction, Lighting,
Task analysis, Surface treatment,
dual regression
BibRef
Qi, X.J.[Xiao-Juan],
Liu, Z.Z.[Zheng-Zhe],
Liao, R.J.[Ren-Jie],
Torr, P.H.S.[Philip H. S.],
Urtasun, R.[Raquel],
Jia, J.Y.[Jia-Ya],
GeoNet++: Iterative Geometric Neural Network with Edge-Aware
Refinement for Joint Depth and Surface Normal Estimation,
PAMI(44), No. 2, February 2022, pp. 969-984.
IEEE DOI
2201
BibRef
Earlier: A1, A3, A2, A5, A6, Only:
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal
Estimation,
CVPR18(283-291)
IEEE DOI
1812
Surface reconstruction, Estimation,
Image reconstruction, Measurement,
geometric neural network.
Neural networks, Estimation, Rough surfaces, Surface roughness, Kernel
BibRef
Fu, Z.H.[Zhi-Heng],
Hong, S.[Siyu],
Liu, M.[Mengyi],
Laga, H.[Hamid],
Bennamoun, M.[Mohammed],
Boussaid, F.[Farid],
Guo, Y.L.[Yu-Lan],
Multi-stage information diffusion for joint depth and surface normal
estimation,
PR(141), 2023, pp. 109660.
Elsevier DOI
2306
Depth estimation, Surface normal estimation,
Multitask learning, Attention map, Multi-Stage information fusion
BibRef
Xie, W.Y.[Wu-Yuan],
Wang, M.H.[Miao-Hui],
Lin, D.[Di],
Shi, B.X.[Bo-Xin],
Jiang, J.M.[Jian-Min],
Surface Geometry Processing: An Efficient Normal-Based Detail
Representation,
PAMI(45), No. 11, November 2023, pp. 13749-13765.
IEEE DOI
2310
BibRef
Ju, Y.K.[Ya-Kun],
Jian, M.[Muwei],
Wang, C.[Cong],
Zhang, C.[Cong],
Dong, J.Y.[Jun-Yu],
Lam, K.M.[Kin-Man],
Estimating High-Resolution Surface Normals via Low-Resolution
Photometric Stereo Images,
CirSysVideo(34), No. 4, April 2024, pp. 2512-2524.
IEEE DOI
2404
Feature extraction, Surface reconstruction, Surface treatment,
Superresolution, Reflectivity.
BibRef
Hajder, L.[Levente],
Lóczi, L.[Lajos],
Barath, D.[Daniel],
Fast Globally Optimal Surface Normal from an Affine Correspondence,
ICCV23(3367-3378)
IEEE DOI
2401
BibRef
Popovic, N.[Nikola],
Paudel, D.P.[Danda Pani],
Van Gool, L.J.[Luc J.],
Surface Normal Clustering for Implicit Representation of Manhattan
Scenes,
ICCV23(17814-17824)
IEEE DOI Code:
WWW Link.
2401
BibRef
Li, Q.[Qing],
Feng, H.F.[Hui-Fang],
Shi, K.[Kanle],
Gao, Y.[Yue],
Fang, Y.[Yi],
Liu, Y.S.[Yu-Shen],
Han, Z.Z.[Zhi-Zhong],
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal
Estimation of Point Clouds,
CVPR23(13591-13600)
IEEE DOI
2309
BibRef
Du, H.[Hang],
Yan, X.J.[Xue-Jun],
Wang, J.J.[Jing-Jing],
Xie, D.[Di],
Pu, S.L.[Shi-Liang],
Rethinking the Approximation Error in 3D Surface Fitting for Point
Cloud Normal Estimation,
CVPR23(9486-9495)
IEEE DOI
2309
BibRef
Calvet, L.[Lilian],
Maignan, N.[Nicolas],
Brument, B.[Baptiste],
Mélou, J.[Jean],
Tozza, S.[Silvia],
Durou, J.D.[Jean-Denis],
Quéau, Y.[Yvain],
Multi-view Normal Estimation: Application to Slanted Plane-sweeping,
SSVM23(704-716).
Springer DOI
2307
BibRef
Li, K.Q.[Ke-Qiang],
Zhao, M.Y.[Ming-Yang],
Wu, H.[Huaiyu],
Yan, D.M.[Dong-Ming],
Shen, Z.[Zhen],
Wang, F.Y.[Fei-Yue],
Xiong, G.[Gang],
GraphFit: Learning Multi-scale Graph-Convolutional Representation for
Point Cloud Normal Estimation,
ECCV22(XXXII:651-667).
Springer DOI
2211
BibRef
Kang, M.[Minjun],
Choe, J.[Jaesung],
Ha, H.W.[Hyo-Won],
Jeon, H.G.[Hae-Gon],
Im, S.H.[Sung-Hoon],
Kweon, I.S.[In So],
Yoon, K.J.[Kuk-Jin],
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera,
ECCV22(VIII:181-200).
Springer DOI
2211
BibRef
Cao, X.[Xu],
Santo, H.[Hiroaki],
Shi, B.X.[Bo-Xin],
Okura, F.[Fumio],
Matsushita, Y.[Yasuyuki],
Bilateral Normal Integration,
ECCV22(I:552-567).
Springer DOI
2211
Surface from normals
BibRef
Pang, X.F.[Xu-Fang],
Li, F.[Feng],
Ding, N.[Ning],
Zhong, X.P.[Xiao-Pin],
Upright-Net: Learning Upright Orientation for 3D Point Cloud,
CVPR22(14891-14899)
IEEE DOI
2210
Point cloud compression, Deep learning, Representation learning,
Solid modeling, Shape, Computational modeling, Robot vision,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Zhu, R.S.[Run-Song],
Liu, Y.[Yuan],
Dong, Z.[Zhen],
Wang, Y.[Yuan],
Jiang, T.P.[Teng-Ping],
Wang, W.P.[Wen-Ping],
Yang, B.S.[Bi-Sheng],
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds,
ICCV21(6098-6107)
IEEE DOI
2203
Point cloud compression, Codes, Fitting, Neural networks, Estimation,
Feature extraction, Stereo, 3D from multiview and other sensors,
Vision applications and systems
BibRef
Bae, G.[Gwangbin],
Budvytis, I.[Ignas],
Cipolla, R.[Roberto],
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal
Estimation,
ICCV21(13117-13126)
IEEE DOI
2203
Training, Uncertainty, Measurement uncertainty, Estimation,
Attenuation, 3D from a single image and shape-from-x,
BibRef
Long, X.X.[Xiao-Xiao],
Lin, C.[Cheng],
Liu, L.J.[Ling-Jie],
Li, W.[Wei],
Theobalt, C.[Christian],
Yang, R.G.[Rui-Gang],
Wang, W.P.[Wen-Ping],
Adaptive Surface Normal Constraint for Depth Estimation,
ICCV21(12829-12838)
IEEE DOI
2203
Geometry, Point cloud compression, Surface reconstruction, Codes,
Shape, 3D from a single image and shape-from-x,
BibRef
Zhao, W.[Wang],
Liu, S.H.[Shao-Hui],
Wei, Y.[Yi],
Guo, H.[Hengkai],
Liu, Y.J.[Yong-Jin],
A Confidence-based Iterative Solver of Depths and Surface Normals for
Deep Multi-view Stereo,
ICCV21(6148-6157)
IEEE DOI
2203
Deep learning, Training, Pipelines, Neural networks, Fitting,
Estimation, Probabilistic logic, Stereo,
Scene analysis and understanding
BibRef
Molnár, S.[Szilárd],
Kelényi, B.[Benjamin],
Tamás, L.[Levente],
ToFNest: Efficient normal estimation for time-of-flight depth cameras,
ACVR21(1791-1798)
IEEE DOI
2112
Runtime, Codes, Estimation, Cameras
BibRef
Robson, S.,
MacDonald, L.,
Sargeant, B.,
Metrology Enabled Reflection Transformation Imaging to Reconstruct
Local Detail In Manufactured Surfaces,
ISPRS20(B2:797-804).
DOI Link
2012
BibRef
Raposo, C.[Carolina],
Barreto, J.P.[Joao P.],
Accurate Reconstruction of Oriented 3d Points Using Affine
Correspondences,
ECCV20(XXVIII:545-560).
Springer DOI
2011
BibRef
Do, T.[Tien],
Vuong, K.[Khiem],
Roumeliotis, S.I.[Stergios I.],
Park, H.S.[Hyun Soo],
Surface Normal Estimation of Tilted Images via Spatial Rectifier,
ECCV20(IV:265-280).
Springer DOI
2011
BibRef
Lenssen, J.E.,
Osendorfer, C.,
Masci, J.,
Deep Iterative Surface Normal Estimation,
CVPR20(11244-11253)
IEEE DOI
2008
Estimation, Kernel, Neural networks,
Machine learning, Robustness, Surface treatment
BibRef
Rossi, M.,
El Gheche, M.,
Kuhn, A.,
Frossard, P.,
Joint Graph-Based Depth Refinement and Normal Estimation,
CVPR20(12151-12160)
IEEE DOI
2008
Cameras, Reliability, Optimization,
Estimation, Noise measurement, Geometry
BibRef
Zhou, H.,
Chen, H.,
Feng, Y.,
Wang, Q.,
Qin, J.,
Xie, H.,
Wang, F.L.,
Wei, M.,
Wang, J.,
Geometry and Learning Co-Supported Normal Estimation for Unstructured
Point Cloud,
CVPR20(13235-13244)
IEEE DOI
2008
Estimation, Noise measurement,
Principal component analysis, Silicon, Learning systems, Neural networks
BibRef
Liao, S.[Shuai],
Gavves, E.[Efstratios],
Snoek, C.G.M.[Cees G. M.],
Spherical Regression: Learning Viewpoints, Surface Normals and 3D
Rotations on N-Spheres,
CVPR19(9751-9759).
IEEE DOI
2002
BibRef
Li, Q.W.[Que-Wei],
Guo, J.[Jie],
Fei, Y.[Yang],
Tang, Q.Y.[Qin-Yu],
Sun, W.X.[Wen-Xiu],
Zeng, J.[Jin],
Guo, Y.W.[Yan-Wen],
Deep Surface Normal Estimation on the 2-sphere with Confidence Guided
Semantic Attention,
ECCV20(XXIV:734-750).
Springer DOI
2012
BibRef
Zeng, J.[Jin],
Tong, Y.F.[Yan-Feng],
Huang, Y.[Yunmu],
Yan, Q.[Qiong],
Sun, W.X.[Wen-Xiu],
Chen, J.[Jing],
Wang, Y.T.[Yong-Tian],
Deep Surface Normal Estimation With Hierarchical RGB-D Fusion,
CVPR19(6146-6155).
IEEE DOI
2002
BibRef
Ben-Shabat, Y.[Yizhak],
Lindenbaum, M.[Michael],
Fischer, A.[Anath],
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using
Convolutional Neural Networks,
CVPR19(10104-10112).
IEEE DOI
2002
BibRef
Kang, H.,
Kim, G.,
Yoo, C.D.,
Few-Shot Associative Domain Adaptation for Surface Normal Estimation,
ICIP19(4619-4623)
IEEE DOI
1910
Few-shot Contextual Weighting, Kernel Associative Learning
BibRef
Chen, W.,
Xiang, D.,
Deng, J.,
Surface Normals in the Wild,
ICCV17(1566-1575)
IEEE DOI
1802
image classification, image colour analysis,
image segmentation, learning (artificial intelligence),
Training
BibRef
Xie, W.,
Wang, M.,
Qi, X.,
Zhang, L.,
3D Surface Detail Enhancement from a Single Normal Map,
ICCV17(2344-2352)
IEEE DOI
1802
geometry, image enhancement, image reconstruction,
3D reconstruction, 3D surface detail enhancement, angle profile,
BibRef
Lee, B.U.[Byeong-Uk],
Zhang, J.M.[Jian-Ming],
Hold-Geoffroy, Y.[Yannick],
Kweon, I.S.[In So],
Single View Scene Scale Estimation using Scale Field,
CVPR23(21435-21444)
IEEE DOI
2309
BibRef
Yoon, Y.[Youngjin],
Choe, G.[Gyeongmin],
Kim, N.[Namil],
Lee, J.Y.[Joon-Young],
Kweon, I.S.[In So],
Fine-Scale Surface Normal Estimation Using a Single NIR Image,
ECCV16(III: 486-500).
Springer DOI
1611
BibRef
Zhao, H.,
Yuan, D.,
Zhu, H.,
Yin, J.,
3-D point cloud normal estimation based on fitting algebraic spheres,
ICIP16(2589-2592)
IEEE DOI
1610
Biomimetics
BibRef
Cruz-Bernal, A.[Alejandra],
Alamanza-Ojeda, D.L.[Dora-Luz],
Ibarra-Manzano, M.A.[Mario-Alberto],
Contour Detection at Range Images Using Sparse Normal Detector,
MCPR16(115-124).
Springer DOI
1608
BibRef
Wang, X.L.[Xiao-Long],
Fouhey, D.F.[David F.],
Gupta, A.[Abhinav],
Designing deep networks for surface normal estimation,
CVPR15(539-547)
IEEE DOI
1510
BibRef
Hedrich, J.[Jens],
Paulus, D.[Dietrich],
Genois, F.[Francois],
Grzegorzek, M.[Marcin],
Enhanced surface normal computation by exploiting RGB-D sensory
information,
MVA15(26-29)
IEEE DOI
1507
Color
BibRef
Ladický, L.[Lubor],
Zeisl, B.[Bernhard],
Pollefeys, M.[Marc],
Discriminatively Trained Dense Surface Normal Estimation,
ECCV14(V: 468-484).
Springer DOI
1408
BibRef
Tang, S.[Shuai],
Wang, X.Y.[Xiao-Yu],
Lv, X.T.[Xu-Tao],
Han, T.X.[Tony X.],
Keller, J.[James],
He, Z.H.[Zhi-Hai],
Histogram of Oriented Normal Vectors for Object Recognition with a
Depth Sensor,
ACCV12(II:525-538).
Springer DOI
1304
BibRef
Petricek, T.[Tomas],
Svoboda, T.[Tomas],
Area-weighted surface normals for 3D object recognition,
ICPR12(1492-1496).
WWW Link.
1302
BibRef
Postolski, M.[Michal],
Janaszewski, M.[Marcin],
Kenmochi, Y.[Yukiko],
Lachaud, J.O.[Jacques-Olivier],
Tangent estimation along 3D digital curves,
ICPR12(2079-2082).
WWW Link.
1302
BibRef
Wang, Y.L.[Yi-Lin],
Dunn, E.,
Frahm, J.M.,
An Approach for Shape from Surface Normals with Local Discontinuity
Detection,
3DIMPVT11(188-195).
IEEE DOI
1109
BibRef
Zheng, E.,
Wang, K.,
Dunn, E.,
Frahm, J.M.,
Minimal Solvers for 3D Geometry from Satellite Imagery,
ICCV15(738-746)
IEEE DOI
1602
Cameras
BibRef
Fourey, S.[Sébastien],
Malgouyres, R.[Rémy],
Normals and Curvature Estimation for Digital Surfaces Based on
Convolutions,
DGCI08(xx-yy).
Springer DOI
0804
BibRef
Ho, J.[Jeffrey],
Lim, J.W.[Jong-Woo],
Yang, M.H.[Ming-Hsuan],
Kriegman, D.J.[David J.],
Integrating Surface Normal Vectors Using Fast Marching Method,
ECCV06(III: 239-250).
Springer DOI
0608
BibRef
Kovesi, P.[Peter],
Shapelets Correlated with Surface Normals Produce Surfaces,
ICCV05(II: 994-1001).
IEEE DOI
0510
BibRef
Healey, G.,
Jain, R.,
Depth Recovery from Surface Normals,
ICPR84(894-896).
BibRef
8400
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Features of Surfaces and Range Data, Ridges, Edges .