Adelson, E.H., and
Wang, J.Y.A.,
Single Lens Stereo with a Plenoptic Camera,
PAMI(14), No. 2, February 1992, pp. 99-106.
IEEE Abstract.
IEEE DOI
BibRef
9202
Earlier:
A stereoscopic camera employing a single main lens,
CVPR91(619-624).
IEEE DOI
0403
The technique to use a lenticular array of lenses to produce a different kind
of image, effectively giving multiple cameras with one. Also includes the
historical references.
BibRef
Ishiguro, H.,
Yamamoto, M., and
Tsuji, S.,
Omni-directional Stereo,
PAMI(14), No. 2, February 1992, pp. 257-262.
IEEE DOI
BibRef
9202
Earlier:
Omni-directional Stereo for Making Global Map,
ICCV90(540-547).
IEEE DOI
Panoramic Views. A panoramic image is taken and used in stereo analysis then the results are
integrated over several loactions.
BibRef
Zheng, J.Y., and
Tsuji, S.,
Panoramic Representation for Route Recognition by a Mobile Robot,
IJCV(9), No. 1, October 1992, pp. 55-76.
Springer DOI
BibRef
9210
Earlier:
Panoramic Representation of Scenes for Route Understanding,
ICPR90(I: 161-167).
IEEE DOI Use a 360 degree (cylindrical) view of the scene. Mostly a matching of scan
lines with order preserving match as in stereo of the camera view and
the panoramic view.
BibRef
Zheng, J.Y.[Jiang Yu],
Shi, M.[Min],
Scanning Depth of Route Panorama Based on Stationary Blur,
IJCV(78), No. 2-3, July 2008, pp. 169-186.
Springer DOI
0803
BibRef
Earlier: A2, A1:
A Slit Scanning Depth of Route Panorama from Stationary Blur,
CVPR05(I: 1047-1054).
IEEE DOI
0507
BibRef
And: A1, A2:
Depth from Stationary Blur with Adaptive Filtering,
ACCV07(II: 42-52).
Springer DOI
0711
BibRef
Earlier: A1, A2:
Removing Temporal Stationary Blur in Route Panoramas,
ICPR06(III: 709-713).
IEEE DOI
0609
Slit view, tilted slightly up.
Blur into depth.
BibRef
Zheng, J.Y.,
Asada, M.,
Tsuji, S.,
Color-Based Panoramic Representation of Outdoor Environment for a
Mobile Robot,
ICPR88(II: 801-803).
IEEE DOI
BibRef
8800
Ishiguro, H.,
Maeda, T.,
Miyashita, T.,
Tsuji, S.,
Building Environmental-Models of Man-Made Environments by
Panoramic Sensing,
AdvRob(9), No. 4, 1995, pp. 399-416.
BibRef
9500
Yagi, Y.,
Nishizawa, Y.,
Yachida, M.,
Map-Based Navigation for a Mobile Robot with
Omnidirectional Image Sensor COPIS,
RA(11), No. 5, October 1995, pp. 634-648.
See also Real-Time Omnidirectional Image Sensor (COPIS) for Vision-Guided Navigation.
BibRef
9510
Yagi, Y.S.[Yasu-Shi],
Nishi, W.[Wataru],
Benson, N.[Nels],
Yachida, M.[Masahiko],
Rolling and swaying motion estimation for a mobile robot by using
omnidirectional optical flows,
MVA(14), No. 2, June 2003, pp. 112-120.
Springer DOI
0307
BibRef
Yagi, Y.S.[Yasu-Shi],
Nishi, W.[Wataru],
Yamazawa, K.,
Yachida, M.[Masahiko],
Rolling Motion Estimation for Mobile Robot by Using
Omnidirectional Image Sensor Hyperomnivision,
ICPR96(I: 946-950).
IEEE DOI
9608
(Osaka Univ., J)
BibRef
Chahl, J.S.,
Srinivasan, M.V.,
Range Estimation with a Panoramic Visual Sensor,
JOSA-A(14), No. 9, September 1997, pp. 2144-2151.
9709
BibRef
Kang, S.B.[Sing Bing],
Szeliski, R.S.[Richard S.],
3-D Scene Data Recovery Using Omnidirectional Multibaseline Stereo,
IJCV(25), No. 2, November 1997, pp. 167-183.
DOI Link
9712
BibRef
Earlier:
CVPR96(364-370).
IEEE DOI
BibRef
And:
DEC-CRL-95-6, October, 1995.
HTML Version.
BibRef
Kang, S.B.[Sing Bing],
Szeliski, R.S.[Richard S.],
3D Environment Modeling from Multiple Cylindrical Panoramic Images,
PV01(329-358).
0107
To generate texture mapped models for virtual reality.
BibRef
Shum, H.Y.[Heung-Yeung],
Szeliski, R.S.[Richard S.],
Construction of Panoramic Image Mosaics
with Global and Local Alignment,
PV01(227-268).
0107
BibRef
And:
Systems and Experiment Paper: Construction of Panoramic Image Mosaics
with Global and Local Alignment,
IJCV(36), No. 2, February 2000, pp. 101-130.
DOI Link
0004
BibRef
And:
Correction:
IJCV(48), No. 2, July 2002, pp. 151-152.
DOI Link
BibRef
Earlier:
Construction and Refinement of Panoramic Mosaics with
Global and Local Alignment,
ICCV98(953-956).
IEEE DOI
BibRef
Shum, H.Y.[Heung-Yeung],
Szeliski, R.S.[Richard S.],
Panoramic Image Mosaics,
MicrosoftMSR-TR-97-23, September 1997
PDF File.
BibRef
9709
Shum, H.Y.[Heung-Yeung],
Han, M.[Mei],
Szeliski, R.S.[Richard S.],
Interactive Construction of 3D Models from Panoramic Mosaics,
CVPR98(427-433).
IEEE DOI Get camera pose, then 3D. Factorization approach.
BibRef
9800
Li, Y.[Yin],
Tang, C.K.[Chi-Keung],
Shum, H.Y.[Heung-Yeung],
Efficient Dense Depth Estimation from Dense Multiperspective Panoramas,
ICCV01(I: 119-126).
IEEE DOI
0106
A dense sequence of data.
BibRef
Benosman, R.,
Maniere, T.,
Devars, J.,
Panoramic Sensor Calibration,
PRL(19), No. 5-6, April 1998, pp. 483-490.
9808
BibRef
Smadja, L.,
Benosman, R.,
Devars, J.,
Hybrid Stereo Configurations Through a Cylindrical Sensor Calibration,
MVA(17), No. 4, September 2006, pp. 251-264.
Springer DOI
0608
BibRef
Benosman, R.,
Devars, J.,
Panoramic Stereovision Sensor,
PV01(161-168).
0107
BibRef
Earlier:
ICPR98(Vol I: 767-769).
IEEE DOI
9808
From the rotating linear CCD to pair of rotating cameras.
BibRef
Benosman, R.,
Devars, J.,
Calibration of the Stereovision Panoramic Sensor,
PV01(169-180).
0107
Calibration of 2 linear CCD sensors.
BibRef
Benosman, R.,
Maniere, T.,
Devars, J.,
Multidirectional Stereovision Sensor, Calibration and
Scenes Reconstruction,
ICPR96(I: 161-165).
IEEE DOI
9608
(Univ. Pierre et Marie Curie, F)
BibRef
Benosman, R.,
Devars, J.,
Matching Linear Stereoscopic Images,
PV01(181-199).
0107
3D reconstructions from stereo. Matching regions in the 2 views.
BibRef
Huang, H.C.[Ho-Chao],
Hung, Y.P.[Yi-Ping],
Panoramic Stereo Imaging System with
Automatic Disparity Warping and Seaming,
GMIP(60), No. 3, May 1998, pp. 196-208.
BibRef
9805
Basu, A.[Anup],
Sahabi, H.[Hossein],
A Real-Time Panoramic Stereo Imaging System and Its Applications,
PV01(121-141).
Double lobed mirror to give 2 images in one camera.
BibRef
0100
Baldwin, J.[Jonathan],
Basu, A.[Anup],
3d Estimation Using Panoramic Stereo,
ICPR00(Vol I: 97-100).
IEEE DOI
0009
BibRef
Peleg, S.[Shmuel],
Ben-Ezra, M.[Moshe],
Pritch, Y.[Yael],
Omnistereo: Panoramic Stereo Imaging,
PAMI(23), No. 3, March 2001, pp. 279-290.
IEEE DOI
0103
From a pair of panoramic images, left and right views. Cannot be done
by a pair of panoramic camers, but from a mosaic with stereo cameras, or
mosaics from a single camera.
BibRef
Pritch, Y.,
Ben-Ezra, M.[Moshe],
Peleg, S.[Shmuel],
Automatic Disparity Control in Stereo Panoramas (OmniStereo),
OMNIVIS00(xx-yy).
0012
BibRef
Earlier:
Optics for OmniStereo Imaging,
FIU01(447-467).
BibRef
Peleg, S.[Shmuel],
Pritch, Y.[Yael],
Ben-Ezra, M.[Moshe],
Cameras for Stereo Panoramic Imaging,
CVPR00(I: 208-214).
IEEE DOI
0005
You can do it with longer runs!
BibRef
Peleg, S.[Shmuel],
Ben-Ezra, M.[Moshe],
Pritch, Y.[Yael],
Panoramic Imaging with Horizontal Stereo,
PV01(143-160).
Two systems, one with lenses, one with mirrors to capture 2 panoramic
video rate images.
Rotating camers (slits) and spiral mirror.
BibRef
0100
Peleg, S.[Shmuel],
Ben-Ezra, M.[Moshe],
Stereo Panorama with a Single Camera,
CVPR99(I: 395-401).
IEEE DOI
PDF File. Generated a panorama strip for Red/Green glasses.
Impressive output.
BibRef
9900
Nayar, S.K.[Shree K.],
Karmarkar, A.[Amruta],
360 x 360 Mosaics: Regular and Stereoscopic,
PV01(291-307).
0107
Mosaics around the sphere.
BibRef
Nayar, S.K.[Shree K.],
Karmarkar, A.[Amruta],
360 x 360 Mosaics,
CVPR00(II: 388-395).
IEEE DOI
0005
Mosaic
BibRef
Svoboda, T.[Tomás],
Pajdla, T.[Tomás],
Epipolar Geometry for Central Catadioptric Cameras,
IJCV(49), No. 1, August 2002, pp. 23-37.
DOI Link
0209
BibRef
Svoboda, T.[Tomás],
Pajdla, T.[Tomás],
Matching in Catadioptric Images with Appropriate Windows, and Outliers
Removal,
CAIP01(733 ff.).
Springer DOI
0210
BibRef
Pajdla, T.[Tomas],
Svoboda, T.[Tomas],
Hlavác, V.[Vaclav],
Epipolar Geometry for Central Panoramic Catadioptric Cameras,
PV01(73-102).
0107
Details of the projections.
BibRef
Svoboda, T.[Tomas],
Pajdla, T.,
Hlavác, V.,
Epipolar Geometry for Panoramic Cameras,
ECCV98(I: 218).
Springer DOI
Epipolar. Hyperbolic mirror. Uses stereo.
HTML Version. And:
PS File.
BibRef
9800
Menem, M.,
Pajdla, T.,
Constraints on perspective images and circular panoramas,
BMVC04(xx-yy).
HTML Version.
0508
BibRef
Peer, P.[Peter],
Solina, F.[Franc],
Panoramic Depth Imaging: Single Standard Camera Approach,
IJCV(47), No. 1-3, April-June 2002, pp. 149-160.
DOI Link
0203
BibRef
Earlier:
Mosaic-Based Panoramic Depth Imaging with a Single Standard Camera,
SMBV01(xx-yy).
0110
BibRef
Seitz, S.M.[Steven M.],
Kalai, A.[Adam],
Shum, H.Y.[Heung-Yeung],
Omnivergent Stereo,
IJCV(48), No. 3, July-August 2002, pp. 159-172.
DOI Link
0207
BibRef
Earlier: A3, A2, A1:
ICCV99(22-29).
IEEE DOI
Spherical, center strip, dual strip cameras.
Collect a small number of rays at many viewpoints.
Horizontal epi-polar lines. For any point, a maximal vergence pair is found.
BibRef
Li, Y.[Yin],
Shum, H.Y.[Heung-Yeung],
Tang, C.K.[Chi-Keung],
Szeliski, R.S.[Richard S.],
Stereo Reconstruction from Multiperspective Panoramas,
PAMI(26), No. 1, January 2004, pp. 45-62.
IEEE Abstract.
0401
BibRef
Earlier: A2, A4 only:
ICCV99(14-21).
IEEE DOI Use large number of images from constrained motion camera.
BibRef
Zhu, Z.G.[Zhi-Gang],
Hanson, A.R.[Allen R.],
LAMP: 3D layered, adaptive-resolution, and multi-perspective panorama:
A new scene representation,
CVIU(96), No. 3, December 2004, pp. 294-326.
Elsevier DOI
0411
BibRef
Earlier:
3D LAMP: A New Layered Panoramic Representation,
ICCV01(II: 723-730).
IEEE DOI
0106
3-D representations with mosaics.
See also Generalized parallel-perspective stereo mosaics from airborne video.
BibRef
Zhu, Z.,
3D LAMP: Layered Representation for Image-based Rendering,
Online Book2004.
HTML Version.
WWW Link.
BibRef
0400
Lee, Y.J.[Young Jin],
Kim, D.Y.[Do-Yoon],
Chung, M.J.[Myung Jin],
Feature matching in omnidirectional images with a large sensor motion
for map generation of a mobile robot,
PRL(25), No. 4, March 2004, pp. 413-427.
Elsevier DOI
0402
BibRef
Ishiguro, H.[Hiroshi],
Sogo, T.[Takushi],
Barth, M.[Matthew],
Baseline Detection and Localization for Invisible Omnidirectional
Cameras,
IJCV(58), No. 3, July-August 2004, pp. 209-226.
DOI Link
0404
BibRef
Fiala, M.[Mark],
Basu, A.[Anup],
Panoramic stereo reconstruction using non-SVP optics,
CVIU(98), No. 3, June 2005, pp. 363-397.
Elsevier DOI
0505
BibRef
Earlier:
ICPR02(IV: 27-30).
IEEE DOI
0211
See also Robot Navigation Using Panoramic Tracking.
BibRef
Fiala, M.[Mark],
Immersive Panoramic Imagery,
CRV05(386-391).
IEEE DOI
0505
BibRef
Fiala, M.[Mark],
Structure from Motion using SIFT Features and the PH Transform with
Panoramic Imagery,
CRV05(506-513).
IEEE DOI
0505
BibRef
Fiala, M.,
Basu, A.,
Feature extraction and calibration for stereo reconstruction using
non-SVP optics in a panoramic stereo-vision sensor,
OMNIVIS02(79-86).
IEEE Abstract.
0310
BibRef
Sato, T.[Tomokazu],
Yokoya, N.[Naokazu],
Efficient hundreds-baseline stereo by counting interest points for
moving omni-directional multi-camera system,
JVCIR(21), No. 5-6, July-August 2010, pp. 416-426.
Elsevier DOI
1007
BibRef
Earlier:
New Multi-baseline Stereo by Counting Interest Points,
CRV05(96-103).
IEEE DOI
0505
Multi-baseline stereo; Depth estimation; Interest point;
Omni-directional camera system; Multi-camera system; Efficient
algorithm; Spatial consistency; TNIP-based stereo
BibRef
Tang, Y.P.[Yi-Ping],
Wang, Q.[Qing],
Zong, M.L.[Ming-Li],
Jiang, J.[Jun],
Zhu, Y.H.[Yi-Hua],
Design of Vertically Aligned Binocular Omnistereo Vision Sensor,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link
1101
BibRef
Arican, Z.[Zafer],
Frossard, P.[Pascal],
Joint Registration and Super-Resolution With Omnidirectional Images,
IP(20), No. 11, November 2011, pp. 3151-3162.
IEEE DOI
1110
BibRef
Earlier:
Sampling-aware polar descriptors on the sphere,
ICIP10(3509-3512).
IEEE DOI
1009
BibRef
Earlier:
Super-resolution from unregistered omnidirectional images,
ICPR08(1-4).
IEEE DOI
0812
BibRef
And:
Dense disparity estimation from omnidirectional images,
AVSBS07(399-404).
IEEE DOI
0709
BibRef
Arican, Z.[Zafer],
Frossard, P.[Pascal],
Scale-Invariant Features and Polar Descriptors in Omnidirectional
Imaging,
IP(21), No. 5, May 2012, pp. 2412-2423.
IEEE DOI
1204
BibRef
Earlier:
OmniSIFT: Scale invariant features in omnidirectional images,
ICIP10(3505-3508).
IEEE DOI
1009
BibRef
Monteiro, N.B.[Nuno Barroso],
Marto, S.[Simao],
Barreto, J.P.[Joao Pedro],
Gaspar, J.[Jose],
Depth range accuracy for plenoptic cameras,
CVIU(168), 2018, pp. 104-117.
Elsevier DOI
1804
Standard plenoptic camera, Projection, Reconstruction, Depth range
BibRef
Hahne, C.[Christopher],
Aggoun, A.[Amar],
Velisavljevic, V.[Vladan],
Fiebig, S.[Susanne],
Pesch, M.[Matthias],
Baseline and Triangulation Geometry in a Standard Plenoptic Camera,
IJCV(126), No. 1, January 2018, pp. 21-35.
Springer DOI
1801
Light field triangulation. Microlenses.
BibRef
Hahne, C.[Christopher],
Aggoun, A.[Amar],
Velisavljevic, V.[Vladan],
The refocusing distance of a standard plenoptic photograph,
3DTV-CON15(1-4)
IEEE DOI
1508
Cameras
BibRef
Hahne, C.[Christopher],
Aggoun, A.[Amar],
Haxha, S.,
Velisavljevic, V.[Vladan],
Fernandez, J.C.J.,
Baseline of virtual cameras acquired by a standard plenoptic camera
setup,
3DTV-CON14(1-3)
IEEE DOI
1409
approximation theory
BibRef
Pan, J.[Janice],
Mueller, M.[Martin],
Lahlou, T.[Tarek],
Bovik, A.C.[Alan C.],
Orthogonally-Divergent Fisheye Stereo,
ACIVS18(112-124).
Springer DOI
1810
BibRef
Yang, Y.,
Jin, S.,
Liu, R.,
Kang, S.B.,
Yu, J.,
Automatic 3D Indoor Scene Modeling from Single Panorama,
CVPR18(3926-3934)
IEEE DOI
1812
Layout, Object detection, Semantics,
Image segmentation, Shape, Estimation
BibRef
Song, S.,
Zeng, A.,
Chang, A.X.,
Savva, M.,
Savarese, S.,
Funkhouser, T.,
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the
Field of View,
CVPR18(3847-3856)
IEEE DOI
1812
Semantics, Extrapolation,
Task analysis, Cameras, Mathematical model, Encoding
BibRef
Tang, M.,
Wen, J.,
Zhang, Y.,
Gu, J.,
Junker, P.,
Guo, B.,
Jhao, G.,
Zhu, Z.,
Han, Y.,
A Universal Optical Flow Based Real-Time Low-Latency Omnidirectional
Stereo Video System,
MultMed(21), No. 4, April 2019, pp. 957-972.
IEEE DOI
1903
Optical imaging, Adaptive optics, Streaming media, Cameras,
Real-time systems, Optical buffering, Internet,
video stitch
BibRef
Li, M.[Ming],
Hu, X.J.[Xue-Jiao],
Dai, J.Z.[Jing-Zhao],
Li, Y.[Yang],
Du, S.[Sidan],
Omnidirectional stereo depth estimation based on spherical deep
network,
IVC(114), 2021, pp. 104264.
Elsevier DOI
2109
Omnidirectional depth estimation,
Spherical convolutional network, Stereo matching, Cascade learning
BibRef
Won, C.H.[Chang-Hee],
Ryu, J.B.[Jong-Bin],
Lim, J.W.[Jong-Woo],
End-to-End Learning for Omnidirectional Stereo Matching With
Uncertainty Prior,
PAMI(43), No. 11, November 2021, pp. 3850-3862.
IEEE DOI
2110
BibRef
Earlier:
OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching,
ICCV19(8986-8995)
IEEE DOI
2004
Cameras, Estimation, Neural networks,
Uncertainty, Lenses, Computational modeling, Deep neural network,
omnidirectional 3D estimation.
calibration, decoding, estimation theory,
feature extraction, image coding, image matching,
Computational modeling
BibRef
Zioulis, N.[Nikolaos],
Alvarez, F.[Federico],
Zarpalas, D.[Dimitrios],
Daras, P.[Petros],
Monocular spherical depth estimation with explicitly connected weak
layout cues,
PandRS(183), 2022, pp. 269-285.
Elsevier DOI
2201
Panoramic Scene Understanding, Indoor 3D reconstruction,
Depth Estimation, Layout Estimation, Omnidirectional Vision,
Spherical Panoramas Dataset
BibRef
da Silveira, T.L.T.[Thiago L. T.],
Pinto, P.G.L.[Paulo G. L.],
Murrugarra-Llerena, J.[Jeffri],
Jung, C.R.[Claudio R.],
3D Scene Geometry Estimation from 360° Imagery: A Survey,
Surveys(55), No. 4, April 2023, pp. xx-yy.
DOI Link
2212
3D scene reconstruction, 360° imaging, layout and depth estimation
BibRef
Shen, Z.J.[Zhi-Jie],
Lin, C.Y.[Chun-Yu],
Nie, L.[Lang],
Liao, K.[Kang],
Zhao, Y.[Yao],
Neural Contourlet Network for Monocular 360° Depth Estimation,
CirSysVideo(32), No. 12, December 2022, pp. 8574-8585.
IEEE DOI
2212
Estimation, Distortion, Wavelet transforms, Feature extraction,
Convolutional neural networks, Task analysis, Wavelet analysis,
contourlet
BibRef
Peng, C.H.[Chi-Han],
Zhang, J.Y.[Jia-Yao],
High-Resolution Depth Estimation for 360° Panoramas through
Perspective and Panoramic Depth Images Registration,
WACV23(3115-3124)
IEEE DOI
2302
Image registration, Laplace equations, Pipelines,
Memory management, Estimation, Graphics processing units,
Virtual/augmented reality
BibRef
Xu, C.[Chao],
Yang, H.M.[Hua-Min],
Han, C.[Cheng],
Zhang, C.[Chao],
PCformer: A parallel convolutional transformer network for 360° depth
estimation,
IET-CV(17), No. 2, 2023, pp. 156-169.
DOI Link
2304
BibRef
Liu, Y.[Yunbiao],
Chen, C.[Chunyi],
MODE: Monocular omnidirectional depth estimation via consistent depth
fusion,
IVC(136), 2023, pp. 104723.
Elsevier DOI
2308
Omnidirectional depth estimation, Depth initialization, Long-range dependency
BibRef
Pu, C.[Can],
Yang, C.Y.[Chuan-Yu],
Pu, J.N.[Jin-Nian],
Tylecek, R.[Radim],
Fisher, R.B.[Robert B.],
A multi-modal garden dataset and hybrid 3D dense reconstruction
framework based on panoramic stereo images for a trimming robot,
PandRS(202), 2023, pp. 262-286.
Elsevier DOI
2308
3D reconstruction, Stereo vision, Disparity fusion,
Pose graph optimization, Point cloud registration, Volumetric fusion
BibRef
Zhuang, C.Q.[Chuan-Qing],
Lu, Z.D.[Zheng-Da],
Wang, Y.Q.[Yi-Qun],
Xiao, J.[Jun],
Wang, Y.[Ying],
SPDET: Edge-Aware Self-Supervised Panoramic Depth Estimation
Transformer With Spherical Geometry,
PAMI(45), No. 10, October 2023, pp. 12474-12489.
IEEE DOI
2310
BibRef
Su, X.J.[Xiao-Jie],
Liu, S.[Shimin],
Li, R.[Rui],
Omnidirectional Depth Estimation With Hierarchical Deep Network for
Multi-Fisheye Navigation Systems,
ITS(24), No. 12, December 2023, pp. 13756-13767.
IEEE DOI
2312
BibRef
Han, C.[Cheng],
Cai, Y.Q.[Yong-Qing],
Pan, X.P.[Xin-Peng],
Wang, Z.Y.[Zi-Yun],
Effective fusion module with dilation convolution for monocular
panoramic depth estimate,
IET-IPR(18), No. 4, 2024, pp. 1073-1082.
DOI Link
2403
convolutional neural nets, image processing,
stereo image processing, virtual reality
BibRef
Shen, Z.J.[Zhi-Jie],
Lin, C.Y.[Chun-Yu],
Zhang, J.S.[Jun-Song],
Nie, L.[Lang],
Liao, K.[Kang],
Zhao, Y.[Yao],
360 Layout Estimation via Orthogonal Planes Disentanglement and
Multi-View Geometric Consistency Perception,
PAMI(46), No. 12, December 2024, pp. 10486-10498.
IEEE DOI
2411
Layout, Estimation, Distortion, Optimization, Semantics,
Feature extraction, Task analysis, 360° vision, horizontal depth,
manhattan world assumption
BibRef
Dong, Y.[Yuan],
Fang, C.[Chuan],
Bo, L.[Liefeng],
Dong, Z.L.[Zi-Long],
Tan, P.[Ping],
PanoContext-Former: Panoramic Total Scene Understanding with a
Transformer,
CVPR24(28087-28097)
IEEE DOI
2410
Shape, Image color analysis, Layout, Estimation, Object detection,
Transformers, panoramic image, scene understanding, transformer
BibRef
Shan, Y.H.[Yu-Hao],
Chen, H.[Heyu],
Zhang, J.Y.[Jia-Ying],
Li, S.G.[Shi-Gang],
Li, J.F.[Jian-Feng],
Multi-scale Attention-Based Inclination Angles Estimation for
Panoramic Camera,
OmniCV24(1322-1330)
IEEE DOI
2410
Training, Estimation, Cameras, Distortion,
Panoramic images, inclination angle estimation, image loss
BibRef
Ai, H.[Hao],
Wang, L.[Lin],
Elite360D: Towards Efficient 360 Depth Estimation via Semantic- and
Distance-Aware Bi-Projection Fusion,
CVPR24(9926-9935)
IEEE DOI
2410
Art, Fuses, Estimation, Benchmark testing, Feature extraction,
360 monocular depth estimation, Bi-projection fusion
BibRef
Liu, J.G.[Jing-Guo],
Xu, Y.J.[Yi-Jun],
Li, S.G.[Shi-Gang],
Li, J.F.[Jian-Feng],
Estimating Depth of Monocular Panoramic Image with Teacher-Student
Model Fusing Equirectangular and Spherical Representations,
OmniCV24(1262-1271)
IEEE DOI
2410
Training, Image segmentation, Convolution, Computational modeling,
Estimation, Feature extraction, Distortion, Depth estimation,
Spherical convolution
BibRef
Chen, J.J.[Jia-Jing],
Wan, Z.Q.[Zhi-Qiang],
Narayana, M.[Manjunath],
Li, Y.G.[Yu-Guang],
Hutchcroft, W.[Will],
Velipasalar, S.[Senem],
Kang, S.B.[Sing Bing],
BGDNet: Background-guided Indoor Panorama Depth Estimation,
OmniCV24(1272-1281)
IEEE DOI
2410
Training, Layout, Estimation, Training data, Cameras, Depth Estimation,
indoor panoramic images, BGDNet
BibRef
Yan, Q.S.[Qing-Song],
Wang, Q.[Qiang],
Zhao, K.[Kaiyong],
Li, B.[Bo],
Chu, X.[Xiaoweo],
Deng, F.[Fei],
SphereDepth: Panorama Depth Estimation from Spherical Domain,
3DV22(1-10)
IEEE DOI
2408
Point cloud compression, Neural networks, Estimation, Games,
Feature extraction, Distortion
BibRef
Yin, R.H.[Rui-Hong],
Karaoglu, S.[Sezer],
Gevers, T.[Theo],
Distortion-aware Depth Estimation with Gradient Priors from Panoramas
of Indoor Scenes,
3DV22(134-143)
IEEE DOI
2408
Semantic segmentation, Estimation, Image capture, Transformers,
Distortion, Task analysis
BibRef
Lee, J.[Jongsung],
Cho, G.[Gyeongsu],
Park, J.[Jeongin],
Kim, K.[Kyongjun],
Lee, S.[Seongoh],
Kim, J.H.[Jung-Hee],
Jeong, S.G.[Seong-Gyun],
Joo, K.[Kyungdon],
SlaBins: Fisheye Depth Estimation using Slanted Bins on Road
Environments,
ICCV23(8731-8740)
IEEE DOI Code:
WWW Link.
2401
BibRef
Yun, I.[Ilwi],
Shin, C.Y.[Chan-Yong],
Lee, H.[Hyunku],
Lee, H.J.[Hyuk-Jae],
Rhee, C.E.[Chae Eun],
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth
Estimation,
ICCV23(6078-6089)
IEEE DOI
2401
BibRef
Kim, J.[Junho],
Choi, C.[Changwoon],
Jang, H.[Hojun],
Kim, Y.M.[Young Min],
LDL: Line Distance Functions for Panoramic Localization,
ICCV23(17836-17846)
IEEE DOI Code:
WWW Link.
2401
BibRef
Kim, J.[Junho],
Lee, E.S.[Eun Sun],
Kim, Y.M.[Young Min],
Calibrating Panoramic Depth Estimation for Practical Localization and
Mapping,
ICCV23(8796-8806)
IEEE DOI
2401
BibRef
Xie, S.[Sheng],
Wang, D.[Daochuan],
Liu, Y.H.[Yun-Hui],
OmniVidar: Omnidirectional Depth Estimation from Multi-Fisheye Images,
CVPR23(21529-21538)
IEEE DOI
2309
BibRef
Groom, M.[Michael],
Breckon, T.P.[Toby P.],
On Depth Error from Spherical Camera Calibration within
Omnidirectional Stereo Vision,
ICPR22(3987-3993)
IEEE DOI
2212
Integrated optics, Optical distortion, Cameras, Optical imaging,
Adaptive optics, Real-time systems, Calibration
BibRef
Miao, J.B.[Jing-Bo],
Liu, Y.W.[Yan-Wei],
Wang, K.[Kan],
Liu, J.X.[Jin-Xia],
Xu, Z.[Zhen],
Variational Depth Estimation on Hypersphere for Panorama,
ICIP22(866-870)
IEEE DOI
2211
Measurement, Learning systems, Solid modeling, Image coding,
Estimation, Feature extraction, Panorama, depth estimation,
conditional variational auto-encoder
BibRef
Shen, Z.J.[Zhi-Jie],
Lin, C.Y.[Chun-Yu],
Liao, K.[Kang],
Nie, L.[Lang],
Zheng, Z.[Zishuo],
Zhao, Y.[Yao],
PanoFormer: Panorama Transformer for Indoor 360 ° Depth Estimation,
ECCV22(I:195-211).
Springer DOI
2211
BibRef
Zhao, Y.[Yining],
Wen, C.[Chao],
Xue, Z.[Zhou],
Gao, Y.[Yue],
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep
Manhattan Hough Transform,
ECCV22(I:637-654).
Springer DOI
2211
BibRef
He, L.[Lu],
Jian, B.[Bing],
Wen, Y.M.[Yang-Ming],
Zhu, H.C.[Hai-Chao],
Liu, K.[Kelin],
Feng, W.W.[Wei-Wei],
Liu, S.[Shan],
Rethinking Supervised Depth Estimation for 360° Panoramic Imagery,
OmniCV22(5169-5177)
IEEE DOI
2210
Measurement, Head, Estimation, Data models, Pattern recognition
BibRef
Murrugarra-Llerena, J.[Jeffri],
da Silveira, T.L.T.[Thiago L. T.],
Jung, C.R.[Claudio R.],
Pose Estimation for Two-View Panoramas based on Keypoint Matching:
A Comparative Study and Critical Analysis,
OmniCV22(5198-5207)
IEEE DOI
2210
Learning systems, Couplings, Planarization, Pose estimation,
Nonlinear distortion, Pipelines
BibRef
Li, Z.[Zhen],
Wang, L.[Lingli],
Huang, X.[Xiang],
Pan, C.[Cihui],
Yang, J.Q.[Jia-Qi],
PhyIR: Physics-based Inverse Rendering for Panoramic Indoor Images,
CVPR22(12703-12713)
IEEE DOI
2210
Geometry, Reflectivity, Lighting, Metals, Computer architecture,
Rendering (computer graphics), Vision + graphics
BibRef
Drakoulis, P.[Petros],
Gkitsas, V.[Vasileios],
Sterzentsenko, V.[Vladimiros],
Alvarez, F.[Federico],
Zarpalas, D.[Dimitrios],
Daras, P.[Petros],
Pano3D: A Holistic Benchmark and a Solid Baseline for 360° Depth
Estimation,
OmniCV21(3722-3732)
IEEE DOI
2109
Estimation, Benchmark testing, Solids, Pattern recognition
BibRef
Feng, B.Y.,
Yao, W.,
Liu, Z.,
Varshney, A.,
Deep Depth Estimation on 360° Images with a Double Quaternion Loss,
3DV20(524-533)
IEEE DOI
2102
Estimation, Quaternions, Training,
Kernel, Uncertainty, Distortion
BibRef
Perfetti, L.,
Fassi, F.,
Rossi, C.,
Fisheye Photogrammetry to Generate Low-cost DTMS,
LC3D19(257-263).
DOI Link
1912
BibRef
Hasler, O.,
Loesch, B.,
Blaser, S.,
Nebiker, S.,
Configuration and Simulation Tool for 360-degree Stereo Camera Rig,
Indoor3D19(793-798).
DOI Link
1912
BibRef
Karakottas, A.[Antonios],
Zioulis, N.[Nikolaos],
Samaras, S.[Stamatis],
Ataloglou, D.[Dimitrios],
Gkitsas, V.[Vasileios],
Zarpalas, D.[Dimitrios],
Daras, P.[Petros],
360° Surface Regression with a Hyper-Sphere Loss,
3DV19(258-268)
IEEE DOI
1911
Estimation, Distortion,
Neural networks, Task analysis, Kernel,
hypersphere
BibRef
Zioulis, N.[Nikolaos],
Karakottas, A.[Antonis],
Zarpalas, D.[Dimitrios],
Alvarez, F.,
Daras, P.[Petros],
Spherical View Synthesis for Self-Supervised 360° Depth Estimation,
3DV19(690-699)
IEEE DOI
1911
BibRef
Earlier: A1, A2, A3, A5, Only:
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas,
ECCV18(VI: 453-471).
Springer DOI
1810
Estimation, Distortion, Training,
Rendering (computer graphics), Adaptation models, Cameras, CNN.
BibRef
Kerkaou, Z.,
Alioua, N.,
El Ansari, M.,
Masmoudi, L.,
A new dense omnidirectional stereo matching approach,
ISCV18(1-8)
IEEE DOI
1807
dynamic programming, image matching, stereo image processing,
dense omnidirectional stereo matching approach,
Stereo vision
BibRef
Lin, K.W.[Kai-Wen],
Breckon, T.P.[Toby P.],
Real-Time Low-Cost Omni-Directional Stereo Vision via Bi-polar
Spherical Cameras,
ICIAR18(315-325).
Springer DOI
1807
BibRef
Li, L.,
Li, Z.,
Budagavi, M.,
Li, H.,
Projection based advanced motion model for cubic mapping for
360-degree video,
ICIP17(1427-1431)
IEEE DOI
1803
Cameras, Distortion, Encoding, Geometry, Predictive models,
Solid modeling, Video coding, 360-degree video,
virtual reality
BibRef
Jamaluddin, A.Z.[Ahmad Zawawi],
Jiang, C.[Cansen],
Morel, O.[Olivier],
Seulin, R.[Ralph],
Fofi, D.[David],
3D Reconstruction from Specialized Wide Field of View Camera System
Using Unified Spherical Model,
CIAP17(I:495-506).
Springer DOI
1711
BibRef
Schraml, S.[Stephan],
Belbachir, A.N.[Ahmed Nabil],
Bischof, H.[Horst],
Event-driven stereo matching for real-time 3D panoramic vision,
CVPR15(466-474)
IEEE DOI
1510
BibRef
Iguchi, Y.,
Yamaguchi, J.,
Omni-directional 3D measurement using double fish-eye stereo vision,
FCV15(1-6)
IEEE DOI
1506
BibRef
de Carufel, J.L.[Jean-Lou],
Laganiere, R.[Robert],
Matching cylindrical panorama sequences using planar reprojections,
OMNIVIS11(320-327).
IEEE DOI
1201
BibRef
Putraya, G.[Gururaj],
Basavaraja, S.V.,
Uliyar, M.[Mithun],
Shenoy, R.R.[Ravi R.],
Subspace based disparity estimation for plenoptic cameras,
ICIP14(3842-3846)
IEEE DOI
1502
Arrays
BibRef
Uliyar, M.[Mithun],
Putraya, G.[Gururaj],
Ukil, S.[Soumik],
Basavaraja, S.V.,
Govindarao, K.[Krishna],
Veldandi, M.[Muninder],
Pixel resolution plenoptic disparity using cost aggregation,
ICIP14(3847-3851)
IEEE DOI
1502
Cameras
BibRef
Uliyar, M.[Mithun],
Putraya, G.[Gururaj],
Basavaraja, S.V.,
Fast EPI based depth for plenoptic cameras,
ICIP13(1-4)
IEEE DOI
1402
Arrays
BibRef
Ozisik, N.D.,
Lopez-Nicolas, G.,
Guerrero, J.J.,
Scene structure recovery from a single omnidirectional image,
OMNIVIS11(359-366).
IEEE DOI
1201
BibRef
Gurrieri, L.E.[Luis E.],
Dubois, E.[Eric],
Optimum alignment of panoramic images for stereoscopic navigation in
image-based telepresence systems,
OMNIVIS11(351-358).
IEEE DOI
1201
BibRef
Sato, T.[Tomokazu],
Pajdla, T.[Tomas],
Yokoya, N.[Naokazu],
Epipolar geometry estimation for wide-baseline omnidirectional street
view images,
IWMV11(56-63).
IEEE DOI
1201
BibRef
Ishizuka, D.[Daisuke],
Yamashita, A.[Atsushi],
Kawanishi, R.[Ryosuke],
Kaneko, T.[Toru],
Asama, H.[Hajime],
Self-localization of mobile robot equipped with omnidirectional camera
using image matching and 3D-2D edge matching,
OMNIVIS11(272-279).
IEEE DOI
1201
BibRef
Naruse, T.[Tatsuya],
Kaneko, T.[Toru],
Yamashita, A.[Atsushi],
Asama, H.[Hajime],
3-D measurement of objects inwater using fish-eye stereo camera,
ICIP12(2773-2776).
IEEE DOI
1302
BibRef
Goto, S.[Shinichi],
Yamashita, A.[Atsushi],
Kawanishi, R.[Ryosuke],
Kaneko, T.[Toru],
Asama, H.[Hajime],
3D environment measurement using binocular stereo and motion stereo by
mobile robot with omnidirectional stereo camera,
OMNIVIS11(296-303).
IEEE DOI
1201
BibRef
Yamashita, A.[Atsushi],
Kawanishi, R.[Ryosuke],
Koketsu, T.[Tadashi],
Kaneko, T.[Toru],
Asama, H.[Hajime],
Underwater sensing with omni-directional stereo camera,
OMNIVIS11(304-311).
IEEE DOI
1201
BibRef
He, L.[Lei],
Luo, C.J.[Chuan-Jiang],
Zhu, F.[Feng],
Hao, Y.M.[Ying-Ming],
Ou, J.J.[Jin-Jun],
Zhou, J.[Jing],
Depth Map Regeneration via Improved Graph Cuts Using a Novel
Omnidirectional Stereo Sensor,
OMNIVIS07(1-8).
IEEE DOI
0710
BibRef
He, L.[Lei],
Luo, C.J.[Chuan-Jiang],
Geng, Y.F.[Yan-Feng],
Zhu, F.[Feng],
Hao, Y.M.[Ying-Ming],
Reliable Depth Map Regeneration Via a Novel Omnidirectional Stereo
Sensor,
ISVC07(I: 278-287).
Springer DOI
0711
BibRef
Zhu, J.J.[Jia-Jun],
Humphreys, G.[Greg],
Koller, D.P.[David P.],
Steuart, S.[Skip],
Wang, R.[Rui],
Fast Omnidirectional 3D Scene Acquisition with an Array of Stereo
Cameras,
3DIM07(217-224).
IEEE DOI
0708
BibRef
Spacek, L.[Libor],
Coaxial Omnidirectional Stereopsis,
ECCV04(Vol IV: 354-365).
Springer DOI
0405
BibRef
Stürzl, W.[Wolfgang],
Dahmen, H.[Hansjürgen],
Mallot, H.A.[Hanspeter A.],
The Quality of Catadioptric Imaging:
Application to Omnidirectional Stereo,
ECCV04(Vol I: 614-627).
Springer DOI
0405
BibRef
Peer, P.[Peter],
Solina, F.[Franc],
Towards a Real Time Panoramic Depth Sensor,
CAIP03(107-115).
Springer DOI
0311
BibRef
Wei, S.K.[Shou-Kang],
Huang, F.[Fay],
Klette, R.,
Specification of image acquisition parameters for stereo panoramas,
ICPR02(III: 603-606).
IEEE DOI
0211
BibRef
Earlier:
Characterizations of Image Acquisition and Epipolar Geometry of
Multiple Panoramas,
CAIP01(684 ff.).
Springer DOI
0210
BibRef
Wei, S.K.[Shou-Kang],
Huang, F.[Fay],
Klette, R.,
The design of a stereo panorama camera for scenes of dynamic range,
ICPR02(III: 635-638).
IEEE DOI
0211
BibRef
Tzavidas, S.,
Katsaggelos, A.K.,
Disparity variation in stereo-panoramic video,
ICIP02(III: 845-848).
IEEE DOI
0210
BibRef
Singh, S.,
Analysis and Design of Panoramic Stereo Vision
Using Equi-Angular Pixel Cameras,
CMU-RI-TR-99-04, January, 1999.
HTML Version.
BibRef
9901
Southwell, D.,
Reyda, J.,
Fiala, M.,
Basu, A.,
Panoramic Stereo,
ICPR96(I: 378-382).
IEEE DOI
9608
(Panoramic Viewing Systems Inc., CDN)
BibRef
Kato, K.,
Nakanishi, T.,
Shio, A.,
Ishii, K.,
Structure from Image Sequences Captured Through a Monocular
Extra-Wide Angle Lens,
CVPR94(919-924).
IEEE DOI
BibRef
9400
Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Shape from Texture .