9.1.3.3 Transparent Surfaces, Transparent Materials

Chapter Contents (Back)
Transparent.
See also Translucent Surfaces, Translucent Materials, Translucency Analysis.
See also Optical Flow Field -- Multiple Flows, Transparent Layers, Motion Layers.

Yamada, H.[Hiromitsu], Kasvand, T.[Tony],
Transparent Object Extraction from Regular Textured Backgrounds by Using Binary Parallel Operations,
CVGIP(40), No. 1, October 1987, pp. 41-53.
Elsevier DOI BibRef 8710

Murase, H.,
Surface Shape Reconstruction of a Nonrigid Transparent Object Using Refraction and Motion,
PAMI(14), No. 10, October 1992, pp. 1045-1052.
IEEE DOI BibRef 9210
Earlier:
Surface Shape Reconstruction Of An Undulating Transparent Object,
ICCV90(313-317).
IEEE DOI Reconstruct the surface of the "water" from the distortions of the image under it using optical flow. BibRef

Oo, T.[Thanda], Kawasaki, H.[Hiroshi], Ohsawa, Y.[Yutaka], Ikeuchi, K.[Katsushi],
The separation of reflected and transparent layers from real-world image sequence,
MVA(18), No. 1, February 2007, pp. 17-24.
Springer DOI 0702
BibRef
Earlier:
Separation of Reflection and Transparency Using Epipolar Plane Image Analysis,
ACCV06(I:908-917).
Springer DOI 0601
Segment EPI using edges and color. Apply to outdoor images. BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.], Pont, S.C.[Sylvia C.], Richards, W.[Whitman],
Gestalt and phenomenal transparency,
JOSA-A(25), No. 1, January 2008, pp. 190-202.
WWW Link. 0801
BibRef

Bellettini, G.[Giovanni], Beorchia, V.[Valentina], Paolini, M.[Maurizio],
Topological and Variational Properties of a Model for the Reconstruction of Three-Dimensional Transparent Images with Self-Occlusions,
JMIV(32), No. 3, November 2008, pp. xx-yy.
Springer DOI 0810

See also 2.1-D Sketch, The. BibRef

Xu, Y.C.[Yi-Chao], Maeno, K.[Kazuki], Nagahara, H.[Hajime], Shimada, A.[Atsushi], Taniguchi, R.I.[Rin-Ichiro],
Light field distortion feature for transparent object classification,
CVIU(139), No. 1, 2015, pp. 122-135.
Elsevier DOI 1509
BibRef
Earlier: A2, A3, A4, A5, Only:
Light Field Distortion Feature for Transparent Object Recognition,
CVPR13(2786-2793)
IEEE DOI 1309
Image feature; Light field; Object recognition; Transparent object BibRef

Xu, Y.C.[Yi-Chao], Nagahara, H.[Hajime], Shimada, A.[Atsushi], Taniguchi, R.I.[Rin-Ichiro],
TransCut: Transparent Object Segmentation from a Light-Field Image,
ICCV15(3442-3450)
IEEE DOI 1602
Cameras BibRef

Banday, S.A., Nahvi, R.[Rafia], Mir, A.H., Khan, S., Al Ghamdi, A.S.[Ahmad Saeed], Alshamrani, S.S.[Sultan S.],
Ground glass opacity detection and segmentation using CT images: An image statistics framework,
IET-IPR(16), No. 9, 2022, pp. 2432-2445.
DOI Link 2206
BibRef

Zhang, J.M.[Jia-Ming], Yang, K.[Kailun], Constantinescu, A.[Angela], Peng, K.Y.[Kun-Yu], Müller, K.[Karin], Stiefelhagen, R.[Rainer],
Trans4Trans: Efficient Transformer for Transparent Object and Semantic Scene Segmentation in Real-World Navigation Assistance,
ITS(23), No. 10, October 2022, pp. 19173-19186.
IEEE DOI 2210
Transformers, Semantics, Navigation, Glass, Image segmentation, Decoding, Computer vision for the visually impaired, scene understanding BibRef

Wang, Q.[Qing], Zhang, J.M.[Jia-Ming], Yang, K.[Kailun], Peng, K.Y.[Kun-Yu], Stiefelhagen, R.[Rainer],
Matchformer: Interleaving Attention in Transformers for Feature Matching,
ACCV22(III:256-273).
Springer DOI 2307
BibRef


Zhang, H.J.[Hui-Jie], Opipari, A.[Anthony], Chen, X.T.[Xiao-Tong], Zhu, J.[Jiyue], Yu, Z.[Zeren], Jenkins, O.C.[Odest Chadwicke],
Transnet: Category-level Transparent Object Pose Estimation,
R6D22(148-164).
Springer DOI 2304
BibRef

Chen, S.[Shuo], Li, D.[Di], Ju, B.[Bobo], Jiang, L.H.[Lin-Hua], Zhao, D.F.[Dong-Fang],
Transparent Object Detection with Simulation Heatmap Guidance and Context Spatial Attention,
MMMod23(II: 3-15).
Springer DOI 2304
BibRef

Chen, X.T.[Xiao-Tong], Zhang, H.J.[Hui-Jie], Yu, Z.[Zeren], Opipari, A.[Anthony], Jenkins, O.C.[Odest Chadwicke],
ClearPose: Large-scale Transparent Object Dataset and Benchmark,
ECCV22(VIII:381-396).
Springer DOI 2211
BibRef

Dai, Q.Y.[Qi-Yu], Zhang, J.[Jiyao], Li, Q.W.[Qi-Wei], Wu, T.H.[Tian-Hao], Dong, H.[Hao], Liu, Z.Y.[Zi-Yuan], Tan, P.[Ping], Wang, H.[He],
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects,
ECCV22(XXIX:374-391).
Springer DOI 2211
BibRef

Zhou, K.L.[Kai-Lai], Wang, Y.[Yibo], Lv, T.[Tao], Li, Y.Q.[Yun-Qian], Chen, L.[Linsen], Shen, Q.[Qiu], Cao, X.[Xun],
Explore Spatio-Temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline,
CVPR22(3094-3105)
IEEE DOI 2210
Code, Object Detection.
WWW Link. Shape, Image color analysis, Object detection, Predictive models, Pattern recognition, Task analysis, Synthetic aperture radar, Datasets and evaluation BibRef

Liu, X., Jonschkowski, R., Angelova, A., Konolige, K.,
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects,
CVPR20(11599-11607)
IEEE DOI 2008
Solid modeling, Cameras, Robot sensing systems, Data models, Labeling, Training BibRef

Li, Z., Yeh, Y., Chandraker, M.,
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes,
CVPR20(1259-1268)
IEEE DOI 2008
Shape, Image reconstruction, Rendering (computer graphics), Visualization, Cameras, Mobile handsets BibRef

Han, K.[Kai], Wong, K.Y.K.[Kwan-Yee K.], Liu, M.M.[Miao-Miao],
A fixed viewpoint approach for dense reconstruction of transparent objects,
CVPR15(4001-4008)
IEEE DOI 1510
BibRef

Young, S.I.[Sean I.], Lindell, D.B.[David B.], Girod, B.[Bernd], Taubman, D.S.[David S.], Wetzstein, G.[Gordon],
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform,
CVPR20(1404-1413)
IEEE DOI 2008
Surface reconstruction, Transient analysis, Imaging, Image reconstruction, Nonlinear optics, Surface fitting, Transforms BibRef

Ma, C.G.[Chen-Guang], Lin, X.[Xing], Suo, J.L.[Jin-Li], Dai, Q.H.[Qiong-Hai], Wetzstein, G.[Gordon],
Transparent Object Reconstruction via Coded Transport of Intensity,
CVPR14(3238-3245)
IEEE DOI 1409
turbulence, gas and heat flows, liquids, or transparent solids. BibRef

Phillips, C.J.[Cody J.], Derpanis, K.G.P.[Konstantinos G.P.], Daniilidis, K.[Kostas],
A novel stereoscopic cue for figure-ground segregation of semi-transparent objects,
RobPerc11(1100-1107).
IEEE DOI 1201
With depth. BibRef

Saygili, G.[Gorkem], van der Maaten, L.[Laurens], Hendriks, E.A.[Emile A.],
Hybrid Kinect Depth Map Refinement for Transparent Objects,
ICPR14(2751-2756)
IEEE DOI 1412
BibRef

Alt, N.[Nicolas], Rives, P.[Patrick], Steinbach, E.[Eckehard],
Reconstruction of transparent objects in unstructured scenes with a depth camera,
ICIP13(4131-4135)
IEEE DOI 1402
3D Reconstruction; Transparency Detection BibRef

Wanner, S.[Sven], Goldluecke, B.[Bastian],
Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images,
GCPR13(1-10).
Springer DOI 1311
BibRef

Papalazarou, C.[Chrysi], Rongen, P.M.J.[Peter M.J.], de With, P.H.N.[Peter H.N.],
Evaluation of Interest Point Detectors for Non-planar, Transparent Scenes,
ACIVS09(1-11).
Springer DOI 0909
BibRef

Shimizu, M.[Masao], Okutomi, M.[Masatoshi],
Microscopic Surface Shape Estimation of a Transparent Plate Using a Complex Image,
ACCV07(II: 176-185).
Springer DOI 0711
BibRef

Wallace, A.M., Csakany, P., Buller, G.S., Walker, A.C.,
3D Imaging of Transparent Objects,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Szeliski, R.S.[Richard S.], Avidan, S.[Shai], Anandan, P.,
Layer Extraction from Multiple Images Containing Reflections and Transparency,
CVPR00(I: 246-253).
IEEE DOI 0005
reflection/merged images BibRef

Hata, S., Saitoh, Y., Kumamura, S., Kaida, K.,
Shape Extraction of Transparent Object Using Genetic Algorithm,
ICPR96(IV: 684-688).
IEEE DOI 9608
(Kagawa Univ., J) BibRef

Leclerc, Y.G.,
Region Grouping Using the Minimum-Description-Length Principle,
DARPA90(473-481). Group transparent surface regions together. (Some of the theory on human perception seems to say this only works one way, not the other?) BibRef 9000

Chapter on 3-D Shape from X -- Shading, Textures, Lasers, Structured Light, Focus, Line Drawings continues in
Surface Roughness, Rough Surfaces .


Last update:Aug 31, 2023 at 09:37:21