Yang, J.Y.[Jing-Yu],
Ye, X.C.[Xin-Chen],
Li, K.[Kun],
Hou, C.P.[Chun-Ping],
Wang, Y.[Yao],
Color-Guided Depth Recovery From RGB-D Data Using an Adaptive
Autoregressive Model,
IP(23), No. 8, August 2014, pp. 3443-3458.
IEEE DOI
1408
BibRef
Earlier: A1, A2, A3, A4, Only:
Depth Recovery Using an Adaptive Color-Guided Auto-Regressive Model,
ECCV12(V: 158-171).
Springer DOI
1210
autoregressive processes.
from low quality ToF cameras
BibRef
Li, K.[Kun],
Zhu, Y.M.[Yan-Ming],
Yang, J.Y.[Jing-Yu],
Jiang, J.M.[Jian-Min],
Video super-resolution using an adaptive superpixel-guided
auto-regressive model,
PR(51), No. 1, 2016, pp. 59-71.
Elsevier DOI
1601
Video super-resolution
BibRef
Hadfield, S.[Simon],
Bowden, R.[Richard],
Scene Particles: Unregularized Particle-Based Scene Flow Estimation,
PAMI(36), No. 3, March 2014, pp. 564-576.
IEEE DOI
1403
BibRef
And:
Scene Flow Estimation using Intelligent Cost Functions,
BMVC14(xx-yy).
HTML Version.
1410
BibRef
Earlier:
Go with the Flow: Hand Trajectories in 3D via Clustered Scene Flow,
ICIAR12(I: 285-295).
Springer DOI
1206
BibRef
Earlier:
Kinecting the dots: Particle based scene flow from depth sensors,
ICCV11(2290-2295).
IEEE DOI
1201
image sequences.
3D flow, not just 2-D optic flow.
With Kinect sensor.
BibRef
Lebeda, K.[Karel],
Hadfield, S.[Simon],
Bowden, R.[Richard],
Direct-from-Video: Unsupervised NRSfM,
6DPose16(III: 578-594).
Springer DOI
1611
BibRef
And:
Dense Rigid Reconstruction from Unstructured Discontinuous Video,
3DRR15(814-822)
IEEE DOI
1602
BibRef
Earlier:
2D or Not 2D:
Bridging the Gap Between Tracking and Structure from Motion,
ACCV14(IV: 642-658).
Springer DOI
1504
BibRef
Wang, K.,
Zhang, G.F.[Guo-Feng],
Bao, H.J.[Hu-Jun],
Robust 3D Reconstruction With an RGB-D Camera,
IP(23), No. 11, November 2014, pp. 4893-4906.
IEEE DOI
1410
Cameras
BibRef
Zhang, G.F.[Guo-Feng],
Jia, J.Y.[Jia-Ya],
Bao, H.J.[Hu-Jun],
Simultaneous multi-body stereo and segmentation,
ICCV11(826-833).
IEEE DOI
1201
Multi-view stereo. Dense depth map. Segmentation from
monocular image sequence.
BibRef
Xie, Q.,
Remil, O.,
Guo, Y.,
Wang, M.,
Wei, M.,
Wang, J.,
Object Detection and Tracking Under Occlusion for Object-Level RGB-D
Video Segmentation,
MultMed(20), No. 3, March 2018, pp. 580-592.
IEEE DOI
1802
Algorithm design and analysis, Clustering algorithms,
Image segmentation, Motion segmentation, Object segmentation,
spatio-temporal segmentation
BibRef
Wang, W.R.[Wei-Ran],
Di, H.J.[Hui-Jun],
Song, L.X.[Ling-Xiao],
Reconstructing 3D Contour Models of General Scenes from RGB-D Sequences,
MMMod22(II:158-170).
Springer DOI
2203
BibRef
Ylimäki, M.,
Heikkilä, J.,
Kannala, J.,
Accurate 3-D Reconstruction with RGB-D Cameras using Depth Map Fusion
and Pose Refinement,
ICPR18(1977-1982)
IEEE DOI
1812
Measurement uncertainty, Uncertainty,
Image reconstruction, Pipelines, Cameras, Distortion measurement
BibRef
Giancola, S.,
Schneider, J.,
Wonka, P.,
Ghanem, B.S.,
Integration of Absolute Orientation Measurements in the KinectFusion
Reconstruction Pipeline,
Odometry18(1567-156709)
IEEE DOI
1812
Iterative closest point algorithm,
Position measurement, Navigation, Graphics processing units,
Pipelines
BibRef
Satnik, A.,
Izquierdo, E.,
Real-Time Multi-View Volumetric Reconstruction of Dynamic Scenes
Using Kinect V2,
3DTV-CON18(1-4)
IEEE DOI
1812
data acquisition, image filtering, image fusion,
image reconstruction, median filters,
real-time
BibRef
Bai, J.,
Yang, J.,
Ye, X.,
Hou, C.,
Depth refinement for binocular kinect RGB-D cameras,
VCIP16(1-4)
IEEE DOI
1701
Cameras
BibRef
Cheng, S.C.[Shyi-Chyi],
Su, J.Y.[Jui-Yuan],
Chen, J.M.[Jing-Min],
Hsieh, J.W.[Jun-Wei],
Model-Based 3D Scene Reconstruction Using a Moving RGB-D Camera,
MMMod17(I: 214-225).
Springer DOI
1701
BibRef
Kam, H.C.[Ho Chuen],
Wong, K.H.[Kin Hong],
Zhang, B.[Baiwu],
Dual Back-to-Back Kinects for 3-D Reconstruction,
ISVC16(I: 858-867).
Springer DOI
1701
rgb-d
BibRef
Kehl, W.[Wadim],
Navab, N.[Nassir],
Ilic, S.[Slobodan],
Coloured signed distance fields for full 3D object reconstruction,
BMVC14(xx-yy).
HTML Version.
1410
geometry of an object using an RGB-D device.
depth and color and motion.
BibRef
Xiao, J.X.[Jian-Xiong],
Owens, A.[Andrew],
Torralba, A.B.[Antonio B.],
SUN3D:
A Database of Big Spaces Reconstructed Using SfM and Object Labels,
ICCV13(1625-1632)
IEEE DOI
1403
Dataset, Scene Understanding.
WWW Link. RGB-D Video dataset. Camera pose and object labels.
Interactive reconstruction process.
BibRef
da Silva Pires, D.[David],
Cesar, Jr., R.M.[Roberto M.],
Velho, L.[Luiz],
Motion Estimation from RGB-D Images Using Graph Homomorphism,
CIARP13(II:487-494).
Springer DOI
1311
BibRef
Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Spatio-Temporal Analysis -- Many Frames .