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ECCV92(395-410).
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9309
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Baillard, C.,
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Extraction and Textural Characterization of Aboveground Areas
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9805 See also Above-Ground Objects in Urban Scenes from Medium Scale Aerial Imagery.
BibRef
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WWW Version.
9808
BibRef
Earlier:
CVPR96(343-350).
IEEE Abstract. IEEE Top Reference.
WWW Version.
BibRef
And:
CornellComputer Science, TR96-1575, March 1996.
Code, Stereo. Code:
HTML Version. Point matching using Sum of Squared Differences (SSD).
BibRef
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Matching Images by Comparing Their Gradient Fields,
ICPR94(A:572-575).
WWW Version.
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9400
Szeliski, R.S.[Richard S.],
Scharstein, D.,
Symmetric Sub-Pixel Stereo Matching,
ECCV02(II: 525 ff.).
HTML Version.
0205
BibRef
Chen, T.Y.,
Bovik, A.C.,
Cormack, L.K.,
Stereoscopic Ranging by Matching Image Modulations,
IP(8), No. 6, June 1999, pp. 785-797.
WWW Version.
BibRef
9906
Birchfield, S.[Stan],
Tomasi, C.[Carlo],
Depth Discontinuities by Pixel-to-Pixel Stereo,
IJCV(35), No. 3, December 1999, pp. 269-293.
WWW Version.
BibRef
9912
Earlier:
ICCV98(1073-1080).
WWW Version.
BibRef
And:
STAN-CS--TR-96-1573, Stanford Univ. July 1996.
BibRef
Mühlmann, K.[Karsten],
Maier, D.[Dennis],
Hesser, J.[Jürgen],
Männer, R.[Reinhard],
Calculating Dense Disparity Maps from Color Stereo Images, an Efficient
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IJCV(47), No. 1-3, April-June 2002, pp. 79-88.
WWW Version.
0203
BibRef
Earlier:
SMBV01(xx-yy).
0110
BibRef
Wiora, G.[Georg],
Babrou, P.[Pavel],
Männer, R.[Reinhard],
Real Time High Speed Measurement of Photogrammetric Targets,
DAGM04(562-569).
WWW Version.
0505
BibRef
Okutomi, M.[Masatoshi],
Katayama, Y.[Yasuhiro],
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WWW Version.
0203
BibRef
Earlier:
CVPR01(II:138-144).
IEEE Abstract. IEEE Top Reference.
0110
BibRef
And:
Simple Stereo Algorithm to Recover Precise Object Boundaries and Smooth
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SMBV01(xx-yy).
0110Area based matching. Adaptive.
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Lhuillier, M.[Maxime],
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PAMI(24), No. 8, August 2002, pp. 1140-1146.
IEEE Abstract. IEEE Top Reference.
0208
Image Based Rendering. Start from sparse set of seed matches, propagate to neighbors.
The procedure can generate inbetween images (blended images).
BibRef
Lhuillier, M.[Maxime],
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PAMI(27), No. 3, March 2005, pp. 418-433.
IEEE Abstract. IEEE Top Reference.
0501
BibRef
Earlier:
Quasi-Dense Reconstruction from Image Sequence,
ECCV02(II: 125 ff.).
HTML Version.
0205
BibRef
Earlier:
Robust Dense Matching Using Local and Global Geometric Constraints,
ICPR00(Vol I: 968-972).
WWW Version.
HTML Version.
0009Structure from resampled dense matches rather than just feature points.
BibRef
Zeng, G.[Gang],
Paris, S.[Sylvain],
Quan, L.[Long],
Lhuillier, M.[Maxime],
Surface Reconstruction by Propagating 3D Stereo Data in Multiple 2D
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ECCV04(Vol I: 163-174).
WWW Version.
0405 See also Accurate and Scalable Surface Representation and Reconstruction from Images.
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Lhuillier, M.,
Efficient Dense Matching for Textured Scenes using Region Growing,
BMVC98(xx-yy).
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9800
Torr, P.H.S.,
Criminisi, A.,
Dense stereo using pivoted dynamic programming,
IVC(22), No. 10, 1 September 2004, pp. 795-806.
WWW Version.
0409
BibRef
Earlier:
BMVC02(3D and Video).
0208
BibRef
Criminisi, A.,
Blake, A.,
Rother, C.,
Shotton, J.,
Torr, P.H.S.,
Efficient Dense Stereo with Occlusions for New View-Synthesis by
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IJCV(71), No. 1, January 2007, pp. 89-110.
WWW Version.
0609With view synthesis.
4-state matching to deal with occlusions.
Synthesis by direct projection of minimal cost surface.
BibRef
Binaghi, E.[Elisabetta],
Gallo, I.[Ignazio],
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WWW Version.
0411
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Binaghi, E.[Elisabetta],
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Guidali, A.,
Raspanti, M.[Mario],
Salvini, G.,
Adaptive Neural Regularization Assignment for Semi-Blind Biomedical
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IMVIP07(207-207).
WWW Version.
0709
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Raspanti, M.[Mario],
Neural disparity computation for dense two-frame stereo correspondence,
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WWW Version.
0802Stereo matching; Occlusion; Disparity space; Neural networks
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Gallo, I.[Ignazio],
Binaghi, E.[Elisabetta],
Dense Stereo Matching with Growing Aggregation and Neural Learning,
VISAPP06(343-353).
WWW Version.
0711
BibRef
Shibahara, T.[Takuma],
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Nakajima, H.[Hiroshi],
Kobayashi, K.[Koji],
A Sub-Pixel Stereo Correspondence Technique Based on 1D Phase-only
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ICIP07(V: 221-224).
WWW Version.
0709
BibRef
Galarza, L.,
Candocia, F.M.,
Optimal and Dense Small Baseline Stereo Image Correspondence,
ICIP06(1037-1040).
0610
WWW Version.
BibRef
Sizintsev, M.[Mikhail],
Hierarchical Stereo with Thin Structures and Transparency,
CRV08(97-104).
WWW Version.
0805
BibRef
Sizintsev, M.,
Wildes, R.P.,
Efficient Stereo with Accurate 3-D Boundaries,
BMVC06(I:237).
PDF Version.
0609
BibRef
Zhou, W.[Wei],
Kambhamettu, C.[Chandra],
Binocular Stereo Dense Matching in the Presence of Specular Reflections,
CVPR06(II: 2363-2370).
WWW Version.
0606
BibRef
Schlesinger, D.[Dmitrij],
Flach, B.[Boris],
Shekhovtsov, A.[Alexander],
A Higher Order MRF-Model for Stereo-Reconstruction,
DAGM04(440-446).
WWW Version.
0505
BibRef
Bovyrin, A.,
Eruhimov, V.,
Molinov, S.,
Mosyagin, V.,
Pisarevsky, V.,
Fast and robust dense stereo correspondence by column segmentation,
ICIP03(III: 1033-1036).
IEEE Abstract. IEEE Top Reference.
0312
BibRef
di Stefano, L.,
Marchionni, M.,
Mattoccia, S.,
Neri, O.,
Dense stereo based on the uniqueness constraint,
ICPR02(III: 657-661).
WWW Version.
0211
BibRef
Jin, K.,
Boufama, B.,
Towards a Fast and Reliable Dense Matching Algorithm,
VI02(178).
PDF Version.
0208
BibRef
Falkenhagen, L.[Lutz],
Wedi, T.[Thomas],
Improving Block-Based Disparity Estimation by Considering the
Non-uniform Distribution of the Estimation Error,
SMILE98(xx-yy).
BibRef
9800
El Zaart, A.,
Ziou, D.[Djemel],
Dubeau, F.[Francois],
Phase-Based Disparity Estimation: a Spatial Approach,
ICIP97(III: 244-247).
WWW Version.
BibRef
9700
Maimone, M.W.[Mark W.], and
Shafer, S.A.[Steven A.],
Modeling Foreshortening in Stereo Vision using Local Spatial Frequency,
IROS95(xx).
BibRef
9500
And:
CMU-CS-TR-95-104, January 1995.
Gabor Filter.
Phase-Based.
HTML Version. (Html based)
and
Postscript Version. (postscript). Plus Errata:
Postscript Version.
BibRef
Maimone, M.W.[Mark W.],
Characterizing Stereo Matching Problems using Local Spatial Frequency,
CMU-CS-TR-96-125, May 1996.
BibRef
9605
Ph.D.Thesis.
Postscript Version.
BibRef
Hannah, M.J.,
Computer Matching of Areas in Stereo Imagery,
Ph.D.Thesis (CS), 1978.
BibRef
7800
Stanford AIMemo 239
BibRef
And: Stanford CS Memo
STAN-CS-74-438, July 1978.
Precursor of Gennery and follower of Quam. Stereo analysis with
arbitrary initial camera locations. Computes the camera model by
least squares error analysis from a set of matching points.
Extends the area of matching points by growing regions which have
the same or close disparities.
BibRef
Hannah, M.J.,
Bootstrap Stereo,
AAAI-80(38-40).
BibRef
8000
And:
DARPA80(201-208).
BibRef
And:
Bootstrap Stereo Error Simulations,
DARPA81(131-135).
A sequence of images is used to generate motion and depth
information. The first pair is used to provide an estimate of the
camera changes and to give some 3-D information to be used in the
sequence. The new areas of the images are analyzed to find new
feature points for the next image in the sequence.
BibRef
Hannah, M.J.,
SRI's Baseline Stereo System,
DARPA85(149-155). Find matches at different scales using lower levels
to guide the higher resolution matches.
BibRef
8500
Hannah, M.J.,
Test Results from SRI's Stereo System,
DARPA88(740-744).
Results on the photogrammetry data set for the stereo program.
BibRef
8800
Hannah, M.J.,
Detection of Errors in Match Disparities,
DARPA82(283-285).
BibRef
8200
Gennery, D.B.,
Modelling the Environment of an Exploring Vehicle by Means of
Stereo Vision,
Ph.D.June 1980.
BibRef
8006
Stanford
BibRef
Gennery, D.B.,
Object Detection and Measurement Using Stereo Vision,
DARPA80(161-167).
BibRef
8000
And:
IJCAI79(320-327).
BibRef
Earlier:
A Stereo Vision System for an Autonomous Vehicle,
IJCAI77(576-582).
BibRef
And:
A Stereo Vision System,
DARPAO77(31-46).
See also Visual Tracking of Known Three-Dimensional Objects.
BibRef
Arnold, R.D., and
Binford, T.O.,
Geometric Constraints in Stereo Vision,
SPIE(238), San Diego, CA, July 1980, pp. 281-292.
BibRef
8007
Arnold, R.D.,
Automated Stereo Perception,
Ph.D.Thesis (cs), 1983.
BibRef
8300
Stanford AIMemo 351
BibRef
And: Stanford CS Memo
STAN-CS-83-961.
BibRef
Earlier:
Local Context in Matching Edges for Stereo Vision,
DARPA78(65-72).
BibRef
Earlier:
Spatial Understanding,
DARPA77(1-4).
Combines the work of Moravec and Gennery to do a match
using corner type features.
BibRef
Szeliski, R.S.[Richard S.], and
Hinton, G.E.[Geoffrey E.],
Solving Random-Dot Stereograms Using the Heat Equation,
CVPR85(284-288).
Simplification of the new work of Prazdny, by implementing as
Heat equation.
BibRef
8500
Essafi, H.,
Mazzoni, C.,
Julien, P.,
Satellite Digital Elevation Model on the Heterogeneous
OPENVISION Parallel Computer,
CAMP95(xx).
BibRef
9500
Koschan, A.F.,
Rodehorst, V.,
Spiller, K.,
Color Stereo Vision Using Hierarchical Block Matching and
Active Color Illumination,
ICPR96(I: 835-839).
WWW Version.
9608(Technical Univ. of Berlin, D)
BibRef
Koschan, A.F.,
Rodehorst, V.,
Towards Real-Time Stereo Employing Parallel Algorithms for
Edge-Based and Dense Stereo Matching,
CAMP95(xx).
BibRef
9500
Koschan, A.F.[Andreas F.],
Dense stereo correspondence using polychromatic block matching,
CAIP93(538-542).
WWW Version.
9309
BibRef
Shah, J.,
A Nonlinear Diffusion Model for Discontinuous Disparity
and Half-Occlusions in Stereo,
CVPR93(34-40).
IEEE Abstract. IEEE Top Reference. An approach to stereo correspondence.
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9300
Xie, M.[Ming],
Thonnat, M.[Monique],
A theory of 3D reconstruction of heterogeneous edge primitives from two
perspective views,
ECCV92(715-719).
WWW Version.
9205
BibRef
Bandopadhy, A.,
Interest Points, Disparities and Correspondence,
DARPA84(184-187).
(U. of Rochester)
BibRef
8400
Shizawa, M.,
Direct Estimation of Multiple Disparities for
Transparent Multiple Surfaces in Binocular Stereo,
ICCV93(447-454).
WWW Version. Developed from work in motion section on transparent surfaces.
See also On visual ambiguities due to transparency in motion and stereo.
BibRef
9300
Gennert, M.A.,
Brightness-Based Stereo Matching,
ICCV88(139-143).
IEEE Abstract. IEEE Top Reference.
BibRef
8800
Sato, T.,
Automotive Stereo Vision Using Deconvolution Technique,
IJCAI79(763-765).
BibRef
7900
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Edge Based Stereo Analysis: Scan Line Oriented .