Ivancevic, N.S.[Nebojsa S.],
Stereometric pattern recognition by artificial touch,
PR(6), No. 2, October 1974, pp. 77-83.
Elsevier DOI
0309
BibRef
Kinoshita, G.I.[Gen-Ichiro],
Aida, S.[Shuhei],
Mori, M.[Masahiro],
A pattern classification by dynamic tactile sense information
processing,
PR(7), No. 4, December 1975, pp. 243-251.
Elsevier DOI
0309
BibRef
Okada, T.,
Tsuchiya, S.,
Object recognition by grasping,
PR(9), No. 3, October 1977, pp. 111-119.
Elsevier DOI
0309
BibRef
Magee, M.J., and
Aggarwal, J.K.,
Using Multisensory Images
to Derive the Structure of Three-Dimensional Objects: A Review,
CVGIP(32), No. 2, November 1985, pp. 145-157.
Elsevier DOI Review of intensity only or range only analysis in
order to produce a better combined method.
BibRef
8511
Wang, Y.F., and
Aggarwal, J.K.,
Integration of Active and Passive Sensing Techniques for
Representing Three-Dimensional Objects,
RA(5), No. 4, August 1989, pp. 460-471.
BibRef
8908
Earlier:
Univ. of TexasTR-CV TR 87-1-33, March 1987.
Multiple viewing directions with both passive
and active sensors. It seems to combine several methods.
BibRef
Wang, Y.F.,
Lee, J.F.[Jeng-Feng], and
Wang, J.F.[Jih-Fang],
Unification Scheme for 3D Surface Reconstruction Using
Physically Based Models,
IJIST(3), 1991, pp. 279-299.
BibRef
9100
Wang, Y.F.,
Wang, J.F.,
On 3D Model Construction By Fusing Heterogeneous Sensor Data,
CVGIP(60), No. 2, September 1994, pp. 210-229.
DOI Link
BibRef
9409
And:
With
Lee, J.F.[Jeng-Feng], as the second author:
On 3D Model Construction by Fusing Heterogeneous Sensor Data,
DraftGeneral discussion, but mostly intensity and structured light.
BibRef
Wang, Y.F., and
Cheng, D.I.[David I.],
Three-Dimensional Shape Construction and Recognition by
Fusing Intensity and Structured Lighting,
PR(25), No. 12, December 1992, pp. 1411-1425.
Elsevier DOI
Sensor Fusion.
BibRef
9212
Richardson, J.M., and
Marsh, K.A.,
Fusion of Multisensor Data,
IJRR(7), No. 6, 1988, pp. 78-96.
BibRef
8800
Leonard, J.J.,
Durrant-Whyte, H.F., and
Cox, I.J.,
Dynamic Map Building for an Autonomous Mobile Robot,
IJRR(11), No. 4, 1992, pp. 286-298.
See also Mobile Robot Location by Tracking Geometric Beacons.
BibRef
9200
Cox, I.J.[Ingemar J.],
Stereoscopic computer vision system,
US_Patent5,383,013, Jan 17, 1995
WWW Link. Find best match between features in 2 images.
BibRef
9501
Cox, I.J.,
A Maximum Likelihood N-Camera Stereo Algorithm,
CVPR94(733-739).
IEEE DOI Improve stereo results by using multiple images.
BibRef
9400
Cox, I.J.,
Hingorani, S.L.,
Rao, S.B.,
Maggs, B.M.,
A Maximum-Likelihood Stereo Algorithm,
CVIU(63), No. 3, May 1996, pp. 542-567.
DOI Link
9606
BibRef
Cox, I.J.,
Hingorani, S.,
Naggs, B.M., and
Rao, S.B.,
Stereo without Disparity Gradient Smoothing:
A Bayesian Sensor Fusion Solution,
BMVC92(337-346).
PDF File. See related code:
WWW Link.
BibRef
9200
Durrant-Whyte, H.F.,
Integration, Coordination and Control of Multi-Sensor Robot Systems,
Norwell, MA:
KluwerAcademic Publishers, November 1990.
ISBN 0-89838-247-5
Sensor Fusion. Stereo analysis and tactile gripper on a robot arm.
WWW Link.
BibRef
9011
Durrant-Whyte, H.F.,
Sensor Models and Multisensor Integration,
IJRR(7), No. 6, 1988, pp. 97-113.
BibRef
8800
Earlier:
SRMSF87(303-312).
See also Consistent Integration and Propagation of Disparate Sensor Observations.
BibRef
Henderson, T.C.,
Weitz, E.,
Hansen, C., and
Mitiche, A.,
Multisensor Knowledge Systems: Interpreting 3D Structure,
IJRR(7), No. 6, 1988, pp. 114-137.
BibRef
8800
Porrill, J.,
Optimal Combination and Constraints for Geometrical Sensor Data,
IJRR(7), No. 6, 1988, pp. 66-77.
BibRef
8800
Shekhar, S.,
Khatib, O., and
Shimojo, M.,
Object Localization with Multiple Sensors,
IJRR(7), No. 6, 1988, pp. 34-44.
BibRef
8800
Stansfield, S.A.,
A Robotic Perceptual System Utilizing Passive
Vision and Active Touch,
IJRR(7), No. 6, 1988, pp. 138-161.
BibRef
8800
Bolle, R.M., and
Cooper, D.B.,
On Optimally Combining Pieces of Information, with Application to
Estimating 3-D Complex-Object Position from Range Data,
PAMI(8), No. 5, September 1986, pp. 619-638.
Probability. A Bayesian, probabilistic approach to dividing problems and data.
An attempt to put everything in a probabilistic framework, models
and matching etc. There is either a lot in the paper or
it is empty.
BibRef
8609
Negahdaripour, S.[Shahriar],
Epipolar Geometry of Opti-Acoustic Stereo Imaging,
PAMI(29), No. 10, October 2007, pp. 1776-1788.
IEEE DOI
0710
Geometric analysis of 3-D using stereo and sonar together.
BibRef
Negahdaripour, S.,
Sekkati, H.,
Pirsiavash, H.,
Opti-Acoustic Stereo Imaging: On System Calibration and 3-D Target
Reconstruction,
IP(18), No. 6, June 2009, pp. 1203-1214.
IEEE DOI
0905
BibRef
Earlier:
Opti-Acoustic Stereo Imaging, System Calibration and 3-D Reconstruction,
MultiView07(1-8).
IEEE DOI
0706
BibRef
Sekkati, H.,
Negahdaripour, S.,
Direct and Indirect 3-D Reconstruction from Opti-Acoustic Stereo
Imaging,
3DPVT06(615-622).
IEEE DOI
0606
BibRef
Negahdaripour, S.,
Sarafraz, A.,
Improved Stereo Matching in Scattering Media by Incorporating a
Backscatter Cue,
IP(23), No. 12, December 2014, pp. 5743-5755.
IEEE DOI
1412
backscatter
BibRef
Chatterjee, A.[Avishek],
Govindu, V.M.[Venu Madhav],
Photometric refinement of depth maps for multi-albedo objects,
CVPR15(933-941)
IEEE DOI
1510
BibRef
Arsenio, A.M.[Artur M.],
Map Building from Human-Computer Interactions,
RealTimeHCI04(151).
IEEE DOI
0502
Build 3-D map from human cues. Figure/Ground, furniture detection.
BibRef
Kanade, T.,
Saito, H., and
Vedula, S.,
The 3D Room: Digitizing Time-Varying 3D Events by Synchronized Multiple
Video Streams,
CMU-RI-TR-98-34, December, 1998.
BibRef
9812
Chapter on Stereo: Three Dimensional Descriptions from Two or More Views, Binocular, Trinocular continues in
Shape from Two or More Properties .