11.14.3.9.11 Inpainting, Inpainting Range Images, Range, Depth Data

Caselles, V., Haro, G., Sapiro, G., Verdera, J.,
On geometric variational models for inpainting surface holes,
CVIU(111), No. 3, September 2008, pp. 351-373.
Elsevier DOI 0809
Inpainting; Variational formulations; Interpolation; Surface holes; Scalar and vector fields; Laplacian; Mean curvature; Absolute minimizing Lipschitz extension BibRef

Verdera, J., Caselles, V., Bertalmio, M., Sapiro, G.,
Inpainting surface holes,
ICIP03(II: 903-906).
IEEE DOI 0312
BibRef

Wang, J.N.[Jian-Ning], Oliveira, M.M.[Manuel M.],
Filling holes on locally smooth surfaces reconstructed from point clouds,
IVC(25), No. 1, January 2007, pp. 103-113.
Elsevier DOI 0611
Hole filling; Surface reconstruction; Moving least squares; 3D scanners BibRef

Sagawa, R.[Ryusuke], Ikeuchi, K.[Katsushi],
Hole Filling of a 3D Model by Flipping Signs of a Signed Distance Field in Adaptive Resolution,
PAMI(30), No. 4, April 2008, pp. 686-699.
IEEE DOI 0803
BibRef
And:
Hole Filling of 3D Model by Flipping Signs of Signed Distance Field in Adaptive Resolution,
DACO08(207-236). 0812
BibRef
Earlier:
Taking Consensus of Signed Distance Field for Complementing Unobservable Surface,
CREST03(127-138). 0309
BibRef
And: 3DIM03(410-417).
IEEE DOI 0311
BibRef

Atapour-Abarghouei, A.[Amir], Akcay, S.[Samet], de la Garanderie, G.P.[Grégoire Payen], Breckon, T.P.[Toby P.],
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer,
PR(91), 2019, pp. 232-244.
Elsevier DOI 1904
Depth image, Hole filling, Self-supervised learning, Generative model, Adversarial training, Feature distance, Domain adaptation BibRef

Janaszewski, M.[Marcin], Couprie, M.[Michel], Babout, L.[Laurent],
Hole filling in 3D volumetric objects,
PR(43), No. 10, October 2010, pp. 3548-3559.
Elsevier DOI 1007
BibRef
Geometric Approach to Hole Segmentation and Hole Closing in 3D Volumetric Objects,
CIARP09(255-262).
Springer DOI 0911
Hole filling; Hole closing; Skeleton; Digital topology; Crack propagation images
See also Airway Tree Segmentation from CT Scans Using Gradient-Guided 3D Region Growing. BibRef

Janaszewski, M.[Marcin], Postolski, M.[Michal], Babout, L.[Laurent],
Robust algorithm for tunnel closing in 3D volumetric objects based on topological characteristics of points,
PRL(32), No. 16, 1 December 2011, pp. 2231-2238.
Elsevier DOI 1112
Tunnel closing; Topological numbers; 3D image processing; Skeletonisation; Crack bridging BibRef

Kornev, A.[Anatoly], Babout, L.[Laurent], Janaszewski, M.[Marcin], Talbot, H.[Hugues],
Outer Surface Reconstruction for 3D Fractured Objects,
ICCVG10(II: 57-64).
Springer DOI 1009
BibRef

Bhavsar, A.V.[Arnav V.], Rajagopalan, A.N.[Ambasamudram N.],
Resolution Enhancement in Multi-Image Stereo,
PAMI(32), No. 9, September 2010, pp. 1721-1728.
IEEE DOI 1008
BibRef
Earlier:
Depth estimation with a practical camera,
BMVC09(xx-yy).
PDF File. 0909
From a set of calibrated images. superresolution and high-resolution depth estimation. BibRef

Bhavsar, A.V.[Arnav V.], Rajagopalan, A.N.,
Towards Unrestrained Depth Inference with Coherent Occlusion Filling,
IJCV(97), No. 2, April 2012, pp. 167-190.
WWW Link. 1203
BibRef
Earlier:
Inpainting in Multi-image Stereo,
DAGM10(172-181).
Springer DOI 1009
BibRef
Earlier:
Range Map with Missing Data: Joint Resolution Enhancement and Inpainting,
ICCVGIP08(359-365).
IEEE DOI 0812
BibRef

Bhavsar, A.V.[Arnav V.], Rajagopalan, A.N.[Ambasamudram N.],
Range map superresolution-inpainting, and reconstruction from sparse data,
CVIU(116), No. 4, April 2012, pp. 572-591.
Elsevier DOI 1202
BibRef
Earlier:
Inpainting Large Missing Regions in Range Images,
ICPR10(3464-3467).
IEEE DOI 1008
BibRef
And:
Depth Estimation and Inpainting with an Unconstrainted Camera,
BMVC10(xx-yy).
HTML Version. 1009
Range images; Super-resolution; Markov random fields; Inpainting; Mean-shift segmentation BibRef

Sahay, R.[Rajiv], Rajagopalan, A.N.[Ambasamudram N.],
Inpainting in Shape from Focus: Taking a Cue from Motion Parallax,
BMVC09(xx-yy).
PDF File. Video:
WWW Link. 0909
BibRef

Qi, F.[Fei], Han, J.Y.[Jun-Yu], Wang, P.J.[Peng-Jin], Shi, G.M.[Guang-Ming], Li, F.[Fu],
Structure guided fusion for depth map inpainting,
PRL(34), No. 1, 1 January 2013, pp. 70-76.
Elsevier DOI 1211
Depth map; Inpainting; Information fusion; Non-local means; Kinect BibRef

Kulkarni, M.[Mandar], Rajagopalan, A.N.[Ambasamudram N.],
Depth inpainting by tensor voting,
JOSA-A(30), No. 6, June 2013, pp. 1155-1165.
WWW Link. 1307
BibRef
Earlier: A1, Only:
Depth map repairing using tensor voting,
IC3D12(1-6)
IEEE DOI 1503
image reconstruction BibRef

Gong, X.J.[Xiao-Jin], Liu, J.Y.[Jun-Yi], Zhou, W.H.[Wen-Hui], Liu, J.L.[Ji-Lin],
Guided depth enhancement via a fast marching method,
IVC(31), No. 10, 2013, pp. 695-703.
Elsevier DOI 1310
Depth enhancement BibRef

Liu, J.Y.[Jun-Yi], Gong, X.J.[Xiao-Jin], Liu, J.L.[Ji-Lin],
Guided inpainting and filtering for Kinect depth maps,
ICPR12(2055-2058).
WWW Link. 1302
BibRef

Ding, K.[Kai], Chen, W.H.[Wei-Hai], Wu, X.M.[Xing-Ming],
Optimum inpainting for depth map based on L_0 total variation,
VC(30), No. 12, December 2014, pp. 1311-1320.
Springer DOI 1411
BibRef

Wang, Z.Y.[Zhong-Yuan], Hu, J.H.[Jin-Hui], Wang, S.[Shi_Zheng], Lu, T.[Tao],
Trilateral constrained sparse representation for Kinect depth hole filling,
PRL(65), No. 1, 2015, pp. 95-102.
Elsevier DOI 1511
Sparse representation BibRef

Hu, J.H.[Jin-Hui], Hu, R.M.[Rui-Min], Wang, Z.Y.[Zhong-Yuan], Gong, Y.[Yan], Duan, M.[Mang],
Color image guided locality regularized representation for Kinect depth holes filling,
VCIP13(1-6)
IEEE DOI 1402
computer vision BibRef

Mirkamali, S.S.[Seyed Saeid], Nagabhushan, P.,
Object removal by depth-wise image inpainting,
SIViP(9), No. 8, November 2015, pp. 1785-1794.
WWW Link. 1511
BibRef
Earlier:
Depth-wise image inpainting,
ICPR12(141-144).
WWW Link. 1302
BibRef

Olsen, M.J.[Michael J.], Wartman, J.[Joseph], McAlister, M.[Martha], Mahmoudabadi, H.[Hamid], O'Banion, M.S.[Matt S.], Dunham, L.[Lisa], Cunningham, K.[Keith],
To Fill or Not to Fill: Sensitivity Analysis of the Influence of Resolution and Hole Filling on Point Cloud Surface Modeling and Individual Rockfall Event Detection,
RS(7), No. 9, 2015, pp. 12103.
DOI Link 1511
BibRef

Budianto, B., Lun, D.P.K.,
Inpainting for Fringe Projection Profilometry Based on Geometrically Guided Iterative Regularization,
IP(24), No. 12, December 2015, pp. 5531-5542.
IEEE DOI 1512
Gaussian processes BibRef

Budianto, B., Lun, D.P.K.,
Robust Fringe Projection Profilometry via Sparse Representation,
IP(25), No. 4, April 2016, pp. 1726-1739.
IEEE DOI 1604
Cameras BibRef

Buyssens, P., Daisy, M., Tschumperle, D., Lezoray, O.,
Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions,
IP(24), No. 6, June 2015, pp. 1809-1824.
IEEE DOI 1504
BibRef
And:
Superpixel-based depth map inpainting for RGB-D view synthesis,
ICIP15(4332-4336)
IEEE DOI 1512
BibRef
Earlier: A2, A1, A3, A4:
A smarter exemplar-based inpainting algorithm using local and global heuristics for more geometric coherence,
ICIP14(4622-4626)
IEEE DOI 1502
Depth map disocclusion; View synthesis; superpixels. Approximation algorithms BibRef

Chen, C.[Chi], Yang, B.S.[Bi-Sheng],
Dynamic occlusion detection and inpainting of in situ captured terrestrial laser scanning point clouds sequence,
PandRS(119), No. 1, 2016, pp. 90-107.
Elsevier DOI 1610
Terrestrial laser scanning BibRef

Muddala, S.M.[Suryanarayana M.], Sjöström, M.[Mårten], Olsson, R.[Roger],
Virtual view synthesis using layered depth image generation and depth-based inpainting for filling disocclusions and translucent disocclusions,
JVCIR(38), No. 1, 2016, pp. 351-366.
Elsevier DOI 1605
View synthesis BibRef

Buyssens, P., Meur, O.L., Daisy, M., Tschumperlé, D., Lézoray, O.,
Depth-Guided Disocclusion Inpainting of Synthesized RGB-D Images,
IP(26), No. 2, February 2017, pp. 525-538.
IEEE DOI 1702
image colour analysis BibRef

Bevilacqua, M.[Marco], Aujol, J.F.[Jean-François], Biasutti, P.[Pierre], Brédif, M.[Mathieu], Bugeau, A.[Aurélie],
Joint inpainting of depth and reflectance with visibility estimation,
PandRS(125), No. 1, 2017, pp. 16-32.
Elsevier DOI 1703
BibRef
Earlier: A1, A2, A4, A5, Only:
Visibility estimation and joint inpainting of lidar depth maps,
ICIP16(3503-3507)
IEEE DOI 1610
Inpainting. Color BibRef

Bódis-Szomorú, A.[András], Riemenschneider, H.[Hayko], Van Gool, L.J.[Luc J.],
Efficient edge-aware surface mesh reconstruction for urban scenes,
CVIU(157), No. 1, 2017, pp. 3-24.
Elsevier DOI 1704
BibRef
Earlier:
Efficient volumetric fusion of airborne and street-side data for urban reconstruction,
ICPR16(3204-3209)
IEEE DOI 1705
BibRef
Earlier:
Superpixel meshes for fast edge-preserving surface reconstruction,
CVPR15(2011-2020)
IEEE DOI 1510
Atmospheric modeling, Image reconstruction, Laser radar, Mobile communication, Noise measurement, Surface reconstruction, 3D city model BibRef

Kobyshev, N.[Nikolay], Riemenschneider, H.[Hayko], Van Gool, L.J.[Luc J.],
Matching Features Correctly through Semantic Understanding,
3DV14(472-479)
IEEE DOI 1503
Context BibRef

van Gansbeke, W., Neven, D., de Brabandere, B., Van Gool, L.J.,
Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty,
MVA19(1-6)
DOI Link 1806
cameras, image colour analysis, image fusion, image reconstruction, mobile robots, optical radar, stereo image processing, Data mining BibRef

Mansfield, A.[Alex], Kobyshev, N.[Nikolay], Riemenschneider, H.[Hayko], Chang, W.[Will], Van Gool, L.J.[Luc J.],
Frankenhorse: Automatic Completion of Articulating Objects from Image-based Reconstruction,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Mansfield, A.[Alexander], Prasad, M.[Mukta], Rother, C.[Carsten], Sharp, T.[Toby], Kohli, P.[Pushmeet], Van Gool, L.J.[Luc J.],
Transforming Image Completion,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Garduño-Ramón, M.A.[Marco Antonio], Terol-Villalobos, I.R.[Ivan Ramon], Osornio-Rios, R.A.[Roque Alfredo], Morales-Hernandez, L.A.[Luis Alberto],
A new method for inpainting of depth maps from time-of-flight sensors based on a modified closing by reconstruction algorithm,
JVCIR(47), No. 1, 2017, pp. 36-47.
Elsevier DOI 1706
Time-of-flight BibRef

Xue, H., Zhang, S., Cai, D.,
Depth Image Inpainting: Improving Low Rank Matrix Completion With Low Gradient Regularization,
IP(26), No. 9, September 2017, pp. 4311-4320.
IEEE DOI 1708
gradient methods, image colour analysis, image restoration, matrix algebra, statistics, color image inpainting, depth image inpainting property, low gradient regularization method, low rank assumption, low rank matrix completion, sparse gradient regularization, statistics, Biomedical imaging, Color, Image restoration, Minimization, Sensors, Sparse matrices, TV, Stereo image processing, depth image recovery, image inpainting, image, restoration BibRef

Simon, T.[Tomas], Valmadre, J.[Jack], Matthews, I.[Iain], Sheikh, Y.[Yaser],
Kronecker-Markov Prior for Dynamic 3D Reconstruction,
PAMI(39), No. 11, November 2017, pp. 2201-2214.
IEEE DOI 1710
BibRef
Earlier:
Separable Spatiotemporal Priors for Convex Reconstruction of Time-Varying 3D Point Clouds,
ECCV14(III: 204-219).
Springer DOI 1408
Reconstruction due to data loss. Cameras, Data models, Shape, Solid modeling, Spatiotemporal phenomena, Trajectory, Kronecker, Matrix normal distribution, generalized trace-norm, missing data, spatiotemporal trace-norm BibRef

Gotardo, P.F.U., Simon, T.[Tomas], Sheikh, Y.[Yaser], Matthews, I.[Iain],
Photogeometric Scene Flow for High-Detail Dynamic 3D Reconstruction,
ICCV15(846-854)
IEEE DOI 1602
Cameras BibRef

Wang, H.Y.[Hong-Yan], Guan, X.F.[Xue-Feng], Wu, H.Y.[Hua-Yi],
A Hybrid Parallel Spatial Interpolation Algorithm for Massive LiDAR Point Clouds on Heterogeneous CPU-GPU Systems,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Guo, X.Y.[Xiao-Yuan], Xiao, J.[Jun], Wang, Y.[Ying],
A survey on algorithms of hole filling in 3D surface reconstruction,
VC(34), No. 1, January 2018, pp. 93-103.
WWW Link. 1801
BibRef

Setty, S.[Shankar], Mudenagudi, U.[Uma],
Example-based 3D inpainting of point clouds using metric tensor and Christoffel symbols,
MVA(29), No. 2, February 2018, pp. 329-343.
Springer DOI 1802
BibRef

Ganihar, S.A.[Syed Altaf], Joshi, S.[Shreyas], Setty, S.[Shankar], Mudenagudi, U.[Uma],
Metric Tensor and Christoffel Symbols Based 3D Object Categorization,
FSLCV14(III: 138-151).
Springer DOI 1504
features used to model surfaces. BibRef

Dinesh, C., Bajic, I.V., Cheung, G.,
Adaptive Nonrigid Inpainting of Three-Dimensional Point Cloud Geometry,
SPLetters(25), No. 6, June 2018, pp. 878-882.
IEEE DOI 1806
iterative methods, solid modelling, adaptive nonrigid inpainting, adaptive template size selection, candidate set, execution time, point cloud alignment BibRef

Hu, W.[Wei], Fu, Z.Q.[Ze-Qing], Guo, Z.M.[Zong-Ming],
Local Frequency Interpretation and Non-Local Self-Similarity on Graph for Point Cloud Inpainting,
IP(28), No. 8, August 2019, pp. 4087-4100.
IEEE DOI 1907
BibRef
Earlier: A2, A1, A3:
Point Cloud Inpainting on Graphs from Non-Local Self-Similarity,
ICIP18(2137-2141)
IEEE DOI 1809
Feature extraction, Noise reduction, Signal processing, Smoothing methods, Sensors, point cloud inpainting. Geometry, Laplace equations, Measurement, Optimization, Symmetric matrices, anisotropic graph total variation. BibRef

Vlachos, E., Lalos, A.S., Spathis-Papadiotis, A., Moustakas, K.,
Distributed Consolidation of Highly Incomplete Dynamic Point Clouds Based on Rank Minimization,
MultMed(20), No. 12, December 2018, pp. 3276-3288.
IEEE DOI 1812
computational geometry, computer animation, image motion analysis, image reconstruction, minimisation, distributed optimization BibRef

Liu, X., Zhai, D., Chen, R., Ji, X., Zhao, D., Gao, W.,
Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds,
IP(28), No. 3, March 2019, pp. 1068-1079.
IEEE DOI 1812
eigenvalues and eigenfunctions, image colour analysis, image restoration, image segmentation, inverse problems, manifold thresholding BibRef

Liu, X., Zhai, D., Chen, R., Ji, X., Zhao, D., Gao, W.,
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations,
IP(28), No. 4, April 2019, pp. 1636-1645.
IEEE DOI 1901
gradient methods, graph theory, image colour analysis, image filtering, image reconstruction, image resolution, gradient consistency BibRef

Xiang, S.[Sen], Deng, H.P.[Hui-Ping], Zhu, L.[Lei], Wu, J.[Jin], Yu, L.[Li],
Exemplar-based depth inpainting with arbitrary-shape patches and cross-modal matching,
SP:IC(71), 2019, pp. 56-65.
Elsevier DOI 1901
Depth map, Inpainting, Exemplar, Edge-preserving, 3D video BibRef

Biasutti, P.[Pierre], Aujol, J.F.[Jean-François], Brédif, M.[Mathieu], Bugeau, A.[Aurélie],
Diffusion and inpainting of reflectance and height LiDAR orthoimages,
CVIU(179), 2019, pp. 31-40.
Elsevier DOI 1903
LiDAR, Mobile mapping, Point cloud, Orthoimage, Inpainting, Variational BibRef

Hervieu, A.[Alexandre], Papadakis, N.[Nicolas], Bugeau, A.[Aurelie], Gargallo, P.[Pau], Caselles, V.[Vicent],
Stereoscopic Image Inpainting: Distinct Depth Maps and Images Inpainting,
ICPR10(4101-4104).
IEEE DOI 1008
BibRef

Qiu, Z.H.[Zhong-Hang], Yue, L.W.[Lin-Wei], Liu, X.G.[Xiu-Guo],
Void Filling of Digital Elevation Models with a Terrain Texture Learning Model Based on Generative Adversarial Networks,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Gai, S.Y.[Shao-Yan], Da, F.P.[Fei-Peng], Zeng, L.[Lulu], Huang, Y.[Yuan],
Research on a hole filling algorithm of a point cloud based on structure from motion,
JOSA-A(36), No. 2, February 2019, pp. A39-A46.
DOI Link 1912
Fringe projection, Laser beams, Laser scanning, Medical imaging, Phase unwrapping, Speckle patterns BibRef

Ma, Y.[Yang], Zheng, Y.B.[Yu-Bing], Easa, S.[Said], Hou, M.Y.[Ming-Yu], Cheng, J.C.[Jian-Chuan],
Automated Method for Detection of Missing Road Point Regions in Mobile Laser Scanning Data,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhu, J., Fan, L., Tian, W., Chen, L., Cao, D., Wang, F.,
Toward the Ghosting Phenomenon in a Stereo-Based Map With a Collaborative RGB-D Repair,
ITS(21), No. 7, July 2020, pp. 2739-2749.
IEEE DOI 2007
Image color analysis, Image segmentation, Maintenance engineering, Cameras, 3D reconstruction and moving-object detection BibRef

Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng], Guo, B.[Biao],
Fast MRF-Based Hole Filling for View Synthesis,
SPLetters(25), No. 1, January 2018, pp. 75-79.
IEEE DOI 1801
Markov processes, computational complexity, image texture, rendering (computer graphics), video signal processing, view synthesis BibRef

Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng], Weng, Z.Y.[Zhen-Yu], Li, Z.T.[Zhao-Tian],
A Disocclusion Inpainting Framework for Depth-Based View Synthesis,
PAMI(42), No. 6, June 2020, pp. 1289-1302.
IEEE DOI 2005
Image reconstruction, Correlation, Reconstruction algorithms, Cameras, Motion compensation, improved background reconstruction BibRef

Li, Y.[Yibao], Lan, S.R.[Shou-Ren], Liu, X.[Xin], Lu, B.H.[Bing-Heng], Wang, L.S.[Li-Sheng],
An efficient volume repairing method by using a modified Allen-Cahn equation,
PR(107), 2020, pp. 107478.
Elsevier DOI 2008
Volume rendering, Volume repairing, Allen-Cahn equation, Mean curvature flow BibRef

Ibrahim, M.M.[Mostafa Mahmoud], Liu, Q.[Qiong], Khan, R.[Rizwan], Yang, J.Y.[Jing-Yu], Adeli, E.[Ehsan], Yang, Y.[You],
Depth map artefacts reduction: a review,
IET-IPR(14), No. 12, October 2020, pp. 2630-2644.
DOI Link 2010
BibRef

Zhu, Q.[Qing], Shang, Q.[Qisen], Hu, H.[Han], Yu, H.J.[Hao-Jia], Zhong, R.F.[Ruo-Fei],
Structure-aware completion of photogrammetric meshes in urban road environment,
PandRS(175), 2021, pp. 56-70.
Elsevier DOI 2105
Oblique images, 3D modeling, Model completion, Image completion BibRef

Chai, X.T.[Xin-Tao], Tang, G.Y.[Gen-Yang], Wang, S.X.[Shang-Xu], Lin, K.[Kai], Peng, R.H.[Rong-Hua],
Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction,
GeoRS(59), No. 7, July 2021, pp. 6244-6265.
IEEE DOI 2106
Image reconstruction, Training, Machine learning, Interpolation, Biological neural networks, Task analysis, three-dimensional (3-D) BibRef

Satapathy, S.[Sukla], Sahay, R.R.[Rajiv Ranjan],
Robust depth map inpainting using superpixels and non-local Gauss-Markov random field prior,
SP:IC(98), 2021, pp. 116378.
Elsevier DOI 2109
Depth map inpainting, RGB-D camera, Superpixel, Markov random fields BibRef

He, Y.[Yibo], Hu, Z.Q.[Zhen-Qi], Wu, K.[Kan], Wang, R.[Rui],
A Novel Method for Density Analysis of Repaired Point Cloud with Holes Based on Image Data,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Fu, Z.[Zeqing], Hu, W.[Wei],
Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning,
MultMed(23), 2021, pp. 3022-3034.
IEEE DOI 2109
Coherence, Dynamics, Optimization, Laplace equations, Measurement, Geometry, 3D dynamic point clouds, spatial-temporal graph BibRef

Gou, G.H.[Guo-Hua], Sui, H.G.[Hai-Gang], Li, D.J.[Da-Jun], Peng, Z.[Zhe], Guo, B.X.[Bing-Xuan], Yang, W.[Wei], Huang, D.[Duo],
LIMOFilling: Local Information Guide Hole-Filling and Sharp Feature Recovery for Manifold Meshes,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Li, Y.[Ying], Zhao, Z.J.[Zhi-Jie], Fan, J.H.[Jia-Hao], Li, W.Y.[Wen-Yue],
ADR-MVSNet: A cascade network for 3D point cloud reconstruction with pixel occlusion,
PR(125), 2022, pp. 108516.
Elsevier DOI 2203
3D point cloud reconstruction, Multiview stereo, Deep neural network, Cost volume BibRef

Liu, H.J.[Hao-Jie], Liao, K.[Kang], Lin, C.Y.[Chun-Yu], Zhao, Y.[Yao], Guo, Y.L.[Yu-Lan],
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision,
ITS(23), No. 7, July 2022, pp. 6379-6389.
IEEE DOI 2207
Interpolation, Task analysis, Laser radar, Color, Estimation, Pseudo-LiDAR interpolation, 3D point cloud, depth completion, convolutional neural networks BibRef

Zhang, Y.J.[Yi-Jian], Wu, T.[Tong], Zhang, X.Z.[Xian-Zhong], Sun, Y.[Yue], Wang, Y.[Yu], Li, S.J.[Shi-Jie], Li, X.[Xinqi], Zhong, K.[Kai], Yan, Z.[Zhaoai], Xu, D.[Degang], Yao, J.[Jianquan],
Rayleigh Lidar Signal Denoising Method Combined with WT, EEMD and LOWESS to Improve Retrieval Accuracy,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Lee, J.[Junhyeop], Hwang, S.[Sangwon], Kim, W.J.[Woo Jin], Lee, S.Y.[Sang-Youn],
SAM-Net: LiDAR Depth Inpainting for 3D Static Map Generation,
ITS(23), No. 8, August 2022, pp. 12213-12228.
IEEE DOI 2208
Laser radar, Point cloud compression, Feature extraction, Task analysis, Sensors, Autonomous vehicles, LiDAR, inpainting, autonomous vehicle BibRef

Li, Z.Y.[Zhi-Yuan], Li, S.[Shun], Mao, J.[Jiandong], Li, J.[Juan], Wang, Q.[Qiang], Zhang, Y.[Yi],
A Novel Lidar Signal-Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Zhang, Y.F.[Yi-Fan], Zhang, Q.J.[Qi-Jian], Zhu, Z.Y.[Zhi-Yu], Hou, J.H.[Jun-Hui], Yuan, Y.X.[Yi-Xuan],
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation,
IJCV(131), No. 12, December 2023, pp. 3332-3352.
Springer DOI 2311
BibRef

Zeng, Y.M.[Yi-Ming], Qian, Y.[Yue], Zhang, Q.J.[Qi-Jian], Hou, J.H.[Jun-Hui], Yuan, Y.X.[Yi-Xuan], He, Y.[Ying],
IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment,
CVPR22(6328-6337)
IEEE DOI 2210
Point cloud compression, Geometry, Deep learning, Interpolation, Dynamics, Estimation, 3D from multi-view and sensors, Image and video synthesis and generation BibRef

Cui, B.[Bin], Shao, Z.[Zhuang], Tao, W.[Wei], Zhao, H.[Hui],
Hole Inpainting Algorithm for Half-Organized Point Cloud Obtained by Structured-Light Section System,
MultMed(25), 2023, pp. 8170-8182.
IEEE DOI 2312
BibRef

Feng, Y.[Yu], Xu, Y.M.[Yi-Ming], Xia, Y.[Yan], Brenner, C.[Claus], Sester, M.[Monika],
Gap completion in point cloud scene occluded by vehicles using SGC-Net,
PandRS(215), 2024, pp. 331-350.
Elsevier DOI 2408
LiDAR mobile mapping, Point cloud processing, 3D scene completion BibRef

Yue, Y.H.[Yuan-Hao], Shi, L.[Laixiang], Zheng, Z.[Zheng], Chen, L.[Long], Wang, Z.Y.[Zhong-Yuan], Zou, Q.[Qin],
Deep motion estimation through adversarial learning for gait recognition,
PRL(184), 2024, pp. 232-237.
Elsevier DOI 2408
Keywords, Gait recognition, Generative adversarial networks, Human segmentation, Motion estimation BibRef

Wan, Q.M.[Qing-Mian], Peng, H.L.[Hong-Li], Liao, X.[Xing], Li, W.H.[Wei-Hao], Liu, K.Y.[Kua-Yue], Mao, J.[Junfa],
A Point Cloud Improvement Method for High-Resolution 4D mmWave Radar Imagery,
RS(16), No. 15, 2024, pp. 2856.
DOI Link 2408
BibRef

Zhang, J.[Jiehua], Yang, Z.W.[Zhi-Wen], Chen, C.Q.[Chu-Qiao], Wang, H.K.[Hong-Kui], Wang, T.Y.[Ting-Yu], Yan, C.G.[Cheng-Gang], Gong, Y.H.[Yi-Hong],
Coplane-constrained sparse depth sampling and local depth propagation for depth estimation,
IVC(150), 2024, pp. 105227.
Elsevier DOI 2409
Adaptive sampling, Local depth propagation, Pixel-wise focal loss BibRef

Liu, R.[Ran], Ren, X.[Xiwei], An, H.[Hui], Yi, L.[Lin],
Layered Hole Filling Based on Depth-Aware Decomposition and GAN-Enhanced Background Reconstruction for DIBR,
CirSysVideo(34), No. 12, December 2024, pp. 12466-12479.
IEEE DOI Code:
WWW Link. 2501
Image reconstruction, Filling, Generative adversarial networks, Training, Rendering (computer graphics), View synthesis, inpainting BibRef

Ouasfi, A.[Amine], Boukhayma, A.[Adnane],
Mixing-Denoising Generalizable Occupancy Networks,
3DV24(1103-1114)
IEEE DOI 2408
Point cloud compression, Couplings, Solid modeling, Shape, Noise reduction, Encoding, 3D reconstruction from point cloud, Implicit shape representation BibRef

Gsaxner, C.[Christina], Mori, S.[Shohei], Schmalstieg, D.[Dieter], Egger, J.[Jan], Paar, G.[Gerhard], Bailer, W.[Werner], Kalkofen, D.[Denis],
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality,
3DV24(750-760)
IEEE DOI 2408
Geometry, Measurement, Image color analysis, Semantics, Computer architecture, Real-time systems, Inpainting, Mixed Reality BibRef

Wei, F.[Fangyin], Funkhouser, T.[Thomas], Rusinkiewicz, S.[Szymon],
Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting,
ICCV23(18085-18095)
IEEE DOI Code:
WWW Link. 2401
BibRef

Tabib, R.A.[Ramesh Ashok], Hegde, D.[Dikshit], Anvekar, T.[Tejas], Mudenagudi, U.[Uma],
DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models,
eHeritage23(1595-1604)
IEEE DOI 2401
BibRef

Lei, J.[Jiabao], Tang, J.P.[Jia-Peng], Jia, K.[Kui],
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models,
CVPR23(8422-8434)
IEEE DOI 2309
BibRef

Zheng, Z.[Zehan], Wu, D.[Danni], Lu, R.[Ruisi], Lu, F.[Fan], Chen, G.[Guang], Jiang, C.J.[Chang-Jun],
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation,
CVPR23(909-918)
IEEE DOI 2309
BibRef

Chiu, M.T.[Mang Tik], Zhou, Y.Q.[Yu-Qian], Zhang, L.Z.[Ling-Zhi], Lin, Z.[Zhe], Barnes, C.[Connelly], Amirghodsi, S.[Sohrab], Shechtman, E.[Eli], Shi, H.[Humphrey],
Brush2Prompt: Contextual Prompt Generator for Object Inpainting,
CVPR24(12636-12645)
IEEE DOI 2410
Training, Adaptation models, Visualization, Accuracy, Shape, Computational modeling, Predictive models, Application, Prompt, Generative model BibRef

Zhao, Y.H.[Yun-Han], Barnes, C.[Connelly], Zhou, Y.Q.[Yu-Qian], Shechtman, E.[Eli], Amirghodsi, S.[Sohrab], Fowlkes, C.[Charless],
GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding,
WACV23(1776-1786)
IEEE DOI 2302
Geometry, Semiconductor device modeling, Solid modeling, Buildings, Cameras, Algorithms: Computational photography, 3D computer vision BibRef

Bae, G.[Gwangtak], Kim, B.J.[Byung-Jun], Ahn, S.[Seongyong], Min, J.H.[Ji-Hong], Shim, I.[Inwook],
SLiDE: Self-supervised LiDAR De-snowing Through Reconstruction Difficulty,
ECCV22(XXIX:283-300).
Springer DOI 2211
BibRef

Sarode, V.[Vinit], Dhagat, A.[Animesh], Srivatsan, R.A.[Rangaprasad Arun], Zevallos, N.[Nicolas], Lucey, S.[Simon], Choset, H.[Howie],
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points,
3DV20(1029-1038)
IEEE DOI 2102
Estimation, Sensors, Training, Cloud computing, Task analysis, Solid modeling, Inlier Estimation, PointNet BibRef

Chalvidal, M., Chouzenoux, E.,
Block Distributed 3MG Algorithm and its Application to 3D Image Restoration,
ICIP20(938-942)
IEEE DOI 2011
Convergence, Optimization, Image restoration, Delays, Indexes, Linear programming, Depth-varying blur BibRef

Truong, A.M., Veelaert, P., Philips, W.,
Depth Map Inpainting And Super-Resolution With Arbitrary Scale Factors,
ICIP20(488-492)
IEEE DOI 2011
Feature extraction, Image resolution, Venus, Cameras, Image reconstruction, Computational efficiency, Depth map BibRef

Ma, W.C.[Wei-Chiu], Wang, S.L.[Shen-Long], Gu, J.Y.[Jia-Yuan], Manivasagam, S.[Sivabalan], Torralba, A.B.[Antonio B.], Urtasun, R.[Raquel],
Deep Feedback Inverse Problem Solver,
ECCV20(V:229-246).
Springer DOI 2011
BibRef

Yan, X.[Xu], Zheng, C.D.[Chao-Da], Li, Z.[Zhen], Wang, S.[Sheng], Cui, S.G.[Shu-Guang],
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling,
CVPR20(5588-5597)
IEEE DOI 2008
Robustness, Convolution, Task analysis, Graphical models, Distribution functions, Neural networks BibRef

Shih, M., Su, S., Kopf, J., Huang, J.,
3D Photography Using Context-Aware Layered Depth Inpainting,
CVPR20(8025-8035)
IEEE DOI 2008
Image color analysis, Cameras, Rendering (computer graphics), Image edge detection, Photography, Facebook BibRef

Calderón, E.C.[Enrique Chavira], Cruz-Bernal, A.[Alejandra],
Restoration of Range Images by the Gaussian Pyramid Method, Testing Different Interpolation Techniques to Select the Best Performance,
MCPR20(129-138).
Springer DOI 2007
BibRef

Ryu, S., Cho, J., Kunnath, N.,
MASC-Net: Multi-scale Anisotropic Sparse Convolutional Network for Sparse Depth Densification,
CRV20(109-116)
IEEE DOI 2006
anisotropic convolution, depth densification, deep neural network, multi-scale BibRef

Väänänen, P., Lehtola, V.,
Inpainting Occlusion Holes in 3d Built Environment Point Clouds,
LC3D19(393-398).
DOI Link 1912
BibRef

Hu, Q.J.[Qian-Jiang], Liu, D.Z.[Dai-Zong], Hu, W.[Wei],
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks,
ECCV22(III:229-248).
Springer DOI 2211
BibRef

He, J.[Ju], Fu, Z.Q.[Ze-Qing], Hu, W.[Wei], Guo, Z.M.[Zong-Ming],
Point Cloud Attribute Inpainting in Graph Spectral Domain,
ICIP19(4385-4389)
IEEE DOI 1910
Graph signal processing, point cloud, attribute inpainting, self-similarity, sparse coding BibRef

Mandikal, P., Radhakrishnan, V.B.,
Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network,
WACV19(1052-1060)
IEEE DOI 1904
image reconstruction, image resolution, neural nets, solid modelling, stereo image processing, Computer architecture BibRef

Futagami, R.[Rentaro], Yamada, N.[Noritaka], Shibuya, T.[Takeshi],
Inferring Underlying Manifold of Data by the Use of Persistent Homology Analysis,
CTIC19(40-53).
Springer DOI 1901
BibRef

Li, F., Ricardez, G.A.G., Takamatsu, J., Ogasawara, T.,
Multi-view Inpainting for RGB-D Sequence,
3DV18(464-473)
IEEE DOI 1812
cameras, image colour analysis, image reconstruction, image sequences, Markov processes, source frames, RGBD BibRef

Yu, L.Q.[Le-Quan], Li, X.Z.[Xian-Zhi], Fu, C.W.[Chi-Wing], Cohen-Or, D.[Daniel], Heng, P.A.[Pheng-Ann],
EC-Net: An Edge-Aware Point Set Consolidation Network,
ECCV18(VII: 398-414).
Springer DOI 1810
BibRef

Navarro, J., Duran, J., Buades, A.,
Filtering and Interpolation of Inaccurate and Incomplete Depth Maps,
ICIP18(1533-1537)
IEEE DOI 1809
Interpolation, Estimation, Training, Cameras, Reliability, Minimization, Stereo, depth estimation, stereo upsampling BibRef

Arvanitis, G., Moustakas, K., Fakotakis, N., Lalos, A.S.,
3D Mesh Inpainting Using Matrix Completion via Augmented Lagrange Multiplier Method,
IVMSP18(1-5)
IEEE DOI 1809
Surface topography, Solid modeling, Spatial coherence, Videos, Minimization, inpainting of 3D meshes BibRef

Pan, L.Y.[Li-Yuan], Dai, Y.C.[Yu-Chao], Liu, M.M.[Miao-Miao],
Single Image Deblurring and Camera Motion Estimation With Depth Map,
WACV19(2116-2125)
IEEE DOI 1904
cameras, image restoration, image sequences, minimisation, motion estimation, camera shake, single image deblurring, Video sequences BibRef

Dinesh, C., Bajic, I.V., Cheung, G.,
Exemplar-based framework for 3D point cloud hole filling,
VCIP17(1-4)
IEEE DOI 1804
image reconstruction, iterative methods, solid modelling, 3D point cloud, Hausdorff distance, exemplar-based framework, surface reconstruction BibRef

Pertuz, S.[Said], Kämäräinen, J.K.[Joni-Kristian],
Region-based depth recovery for highly sparse depth maps,
ICIP17(2074-2078)
IEEE DOI 1803
Cameras, Estimation, Image segmentation, Iterative methods, Sensors, Depth recovery, RGBD, segmentation BibRef

Lertniphonphan, K.[Kanokphan], Komorita, S.[Satoshi], Tasaka, K.[Kazuyuki], Yanagihara, H.[Hiromasa],
Depth Representation of LiDAR Point Cloud with Adaptive Surface Patching for Object Classification,
MMMod18(II:367-371).
Springer DOI 1802
BibRef

Yuan, H.[Hua], Zhou, Y.Y.[Yuan-Yuan], Sheng, Y.[Yun], Zhang, G.X.[Gui-Xu],
Dual-Way Guided Depth Image Inpainting with RGBD Image Pairs,
MMMod18(I:178-189).
Springer DOI 1802
BibRef

Kormoczi, L.[Laszlo], Kato, Z.[Zoltan],
Filling Missing Parts of a 3D Mesh by Fusion of Incomplete 3D Data,
ACIVS17(711-722).
Springer DOI 1712
BibRef

Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., Funkhouser, T.,
Semantic Scene Completion from a Single Depth Image,
CVPR17(190-198)
IEEE DOI 1711
Convolution, Geometry, Semantics, Shape, Solid modeling. BibRef

Atapour-Abarghouei, A.[Amir], de la Garanderie, G.P., Breckon, T.P.,
Back to Butterworth: A Fourier basis for 3D surface relief hole filling within RGB-D imagery,
ICPR16(2813-2818)
IEEE DOI 1705
Frequency synthesizers, Frequency-domain analysis, Image color analysis, Sensors, Shape, Surface texture, Three-dimensional, displays BibRef

Bi, T.T.[Tian-Teng], Liu, Y.[Yue], Weng, D.D.[Dong-Dong], Wang, Y.T.[Yong-Tian],
Monocular Depth Estimation of Outdoor Scenes Using RGB-D Datasets,
3DModelApp16(II: 88-99).
Springer DOI 1704
Depth propogated from the D part of the data. BibRef

Nguyen, D.T.[Duc Thanh], Hua, B.S.[Binh-Son], Tran, M.K.[Minh-Khoi], Pham, Q.H.[Quang-Hieu], Yeung, S.K.[Sai-Kit],
A Field Model for Repairing 3D Shapes,
CVPR16(5676-5684)
IEEE DOI 1612
BibRef

Krenzin, J.[Jens], Hellwich, O.[Olaf],
Reduction of Point Cloud Artifacts Using Shape Priors Estimated with the Gaussian Process Latent Variable Model,
GCPR16(273-284).
Springer DOI 1611
BibRef

Bordin, F.[Fabiane], Gonzaga, Jr., L.[Luiz], Muller, F.G.[Fabricio Galhardo], Veronez, M.R.[Mauricio Roberto], Scaioni, M.[Marco],
An Automatic Algorithm For Minimizing Anomalies And Discrepancies In Point Clouds Acquired By Laser Scanning Technique,
ISPRS16(B5: 779-783).
DOI Link 1610
BibRef

Zhang, L., Shen, P., Zhang, S., Song, J., Zhu, G.,
Depth enhancement with improved exemplar-based inpainting and joint trilateral guided filtering,
ICIP16(4102-4106)
IEEE DOI 1610
depth enhancement BibRef

Hu, J.H.[Jin-Hui], Wang, Z.Y.[Zhong-Yuan], Ruan, R.L.[Ruo-Lin],
Kinect Depth Holes Filling by Similarity and Position Constrained Sparse Representation,
ICISP16(378-387).
WWW Link. 1606
BibRef

Firman, M.[Michael], Aodha, O.M.[Oisin Mac], Julier, S.[Simon], Brostow, G.J.[Gabriel J.],
Structured Prediction of Unobserved Voxels from a Single Depth Image,
CVPR16(5431-5440)
IEEE DOI 1612
3D completion BibRef

Yan, Z.Q.[Zeng-Qiang], Yu, L.[Li], Xiong, Z.X.[Zi-Xiang],
Large-area depth recovery for RGB-D camera,
ICIP15(1409-1413)
IEEE DOI 1512
large areas of missing depth information. BibRef

Jonna, S., Voleti, V.S., Sahay, R.R., Kankanhalli, M.S.,
A multimodal approach for image de-fencing and depth inpainting,
ICAPR15(1-6)
IEEE DOI 1511
Markov processes BibRef

Rock, J.[Jason], Gupta, T.[Tanmay], Thorsen, J.[Justin], Gwak, J.[Jun_Young], Shin, D.[Daeyun], Hoiem, D.[Derek],
Completing 3D object shape from one depth image,
CVPR15(2484-2493)
IEEE DOI 1510
BibRef

Marcelino, S., Faria, S., Pepion, R., Le Callet, P., Soares, S., Assuncao, P.,
Quality evaluation of depth map error concealment using a perceptually-aware objective metric,
3DTV-CON15(1-4)
IEEE DOI 1508
Cameras BibRef

Shan, H.Q.[Han-Qiang], Chien, W.D.[Wei-Da], Wang, H.M.[Hung-Ming], Yang, J.F.[Jar-Ferr],
A homography-based inpainting algorithm for effective depth-image-based rendering,
ICIP14(5412-5416)
IEEE DOI 1502
Computer vision BibRef

Muddala, S.M., Sjostrom, M., Olsson, R.,
Depth-based inpainting for disocclusion filling,
3DTV-CON14(1-4)
IEEE DOI 1409
image classification BibRef

Hong, S.[Seungpyo], Kim, J.[Jinwook],
Pose-Aware Smoothing Filter for Depth Images,
ISVC14(II: 662-670).
Springer DOI 1501
BibRef

Chahal, N., Chaudhury, S.,
High quality depth map estimation by kinect upsampling and hole filling using RGB features and mutual information,
NCVPRIPG13(1-4)
IEEE DOI 1408
data visualisation BibRef

Zhong, G.[Gang], Yu, L.[Li], Zhou, P.[Peng],
Edge-preserving single depth image interpolation,
VCIP13(1-6)
IEEE DOI 1402
gradient methods BibRef

Liu, S.G.[Shao-Guo], Wang, Y.[Ying], Wang, H.B.[Hai-Bo], Pan, C.H.[Chun-Hong],
Kinect Depth Inpainting via Graph Laplacian with TV21 Regularization,
ACPR13(251-255)
IEEE DOI 1408
graph theory BibRef

Liu, S.G.[Shao-Guo], Wang, Y.[Ying], Wang, J.[Jue], Wang, H.B.[Hai-Bo], Zhang, J.X.[Ji-Xia], Pan, C.H.[Chun-Hong],
Kinect depth restoration via energy minimization with TV21 regularization,
ICIP13(724-724)
IEEE DOI 1402
Color BibRef

Sheng, L.[Lu], Ngan, K.N.[King Ngi],
Depth enhancement based on hybrid geometric hole filling strategy,
ICIP13(2173-2176)
IEEE DOI 1402
Depth map; depth enhancement; filtering; hole filling; segmentation BibRef

Ikehata, S.[Satoshi], Cho, J.H.[Ji-Ho], Aizawa, K.[Kiyoharu],
Depth map inpainting and super-resolution based on internal statistics of geometry and appearance,
ICIP13(938-942)
IEEE DOI 1402
Bayes methods BibRef

Herrera, D.C.[Daniel C.], Kannala, J.H.[Ju-Ho], Ladický, L.[Lubor], Heikkilä, J.[Janne],
Depth Map Inpainting under a Second-Order Smoothness Prior,
SCIA13(555-566).
Springer DOI 1311
BibRef

Herrera, D.C.[Daniel C.], Kannala, J.H.[Ju-Ho], Heikkilä, J.[Janne],
Multi-view Alpha Matte for Free Viewpoint Rendering,
MIRAGE11(98-109).
Springer DOI 1110
BibRef
Earlier:
Generating dense depth maps using a patch cloud and local planar surface models,
3DTV11(1-4).
IEEE DOI 1105
From patches, not to patches. BibRef

Saygili, G.[Gorkem], Balim, C.[Caner], Kalkan, H.[Habil], Hendriks, E.A.[Emile A.],
Hierarchical Grid-Based Learning Approach for Recovering Unknown Depths in Kinect Depth Maps,
ICIAR13(658-667).
Springer DOI 1307
BibRef

Toki, M.[Masataka], Kato, K.[Kunihito],
A proposal of voxel data interpolation method by using gradient direction of range data,
FCV13(88-92).
IEEE DOI 1304
BibRef

Hung, K.W.[Kwok-Wai], Siu, W.C.[Wan-Chi],
Depth-assisted nonlocal means hole filling for novel view synthesis,
ICIP12(2737-2740).
IEEE DOI 1302
BibRef

Yu, Y.[Yu], Song, Y.H.[Yong-Hong], Zhang, Y.L.[Yuan-Lin], Wen, S.[Shu],
A Shadow Repair Approach for Kinect Depth Maps,
ACCV12(IV:615-626).
Springer DOI 1304

See also Real Time Fingertip Detection with Kinect Depth Image Sequences. BibRef

Nakajima, H.[Hozuma], Makihara, Y.S.[Yasu-Shi], Hsu, H.[Hsu], Mitsugami, I.[Ikuhisa], Nakazawa, M.[Mitsuru], Yamazoe, H.[Hirotake], Habe, H.[Hitoshi], Yagi, Y.S.[Yasu-Shi],
Point cloud transport,
ICPR12(3803-3806).
WWW Link. 1302
Temporal interpolation of dynamic info BibRef

Sahay, P.[Pratyush], Rajagopalan, A.N.,
Geometric inpainting of 3D structures,
FusionDynamic15(1-7)
IEEE DOI 1510
BibRef
Earlier:
Lost But Found? Harnessing the Internet for Photometric Completion,
BDCV13(421-428)
IEEE DOI 1309
BibRef
And:
Harnessing self-similarity for reconstruction of large missing regions in 3D Models,
ICPR12(101-104).
WWW Link. 1302
Databases. heritage digitization BibRef

Becker, J.[Jacob], Stewart, C.[Charles], Radke, R.J.[Richard J.],
LiDAR inpainting from a single image,
3DIM09(1441-1448).
IEEE DOI 0910
Filling holes in the 3D data. BibRef

Doria, D.[David], Radke, R.J.[Richard J.],
Filling large holes in LiDAR data by inpainting depth gradients,
PCP12(65-72).
IEEE DOI 1207
BibRef

Chen, K.Y.[Kuan-Yu], Tsung, P.K.[Pei-Kuei], Lin, P.C.[Pin-Chih], Yang, H.J.[Hsin-Jung], Chen, L.G.[Liang-Gee],
Hybrid motion/depth-oriented inpainting for virtual view synthesis in multiview applications,
3DTV10(1-4).
IEEE DOI 1006
BibRef

Fan, Y.C.[Yu-Cheng], Chi, T.C.[Tsung-Chen],
The Novel Non-Hole-Filling Approach of Depth Image Based Rendering,
3DTV08(325-328).
IEEE DOI 0805
BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Depth Completion, Point Cloud Completion .