*Haralick, R.M.[Robert M.]*, and
*Zhuang, X.H.[Xin-Hua]*,

**A Note on 'Rigid Body Motion from Depth and Optical Flow,'**,

*CVGIP(34)*, No. 3, June 1986, pp. 372-387.

WWW Version. A comment on (
See also Rigid Body Motion from Depth and Optic Flow. ) that computed the motion parameters.
The claim is that there is a theoretical solution given
4 uncoplanar points, with optical flow and depth.
BibRef
**8606**

*Zhuang, X.H.[Xin-Hua]*,
*Haralick, R.M.[Robert M.]*, and
*Zhao, Y.*,

**From Depth and Optical Flow to Rigid Body Motion**,

*CVPR88*(393-397).

IEEE Abstract. Builds on the other papers by the authors.
BibRef
**8800**

*Haralick, R.M.[Robert M.]*, and
*Lee, J.S.[Jong Soo]*,

**The Facet Approach to Optic Flow**,

*DARPA83*(84-93).
Facet approach: filter the local neighborhood and interpret the processing in
terms of how it affects the best fit function (from the filtering). By
assuming gray tone partial in row, column and time being equal for the
corresponding point you can find the matching point (also intensity is the
same). (Of course you can.)
BibRef
**8300**

*Zhuang, X.H.[Xin-Hua]*,
*Huang, T.S.*,
*Ahuja, N.*, and
*Haralick, R.M.[Robert M.]*,

**A Simplified Linear Optical Flow-Motion Algorithm**,

*CVGIP(42)*, No. 3, June 1988, pp. 334-344.

WWW Version.
BibRef
**8806**

Earlier:

**Rigid Body Motion and the Optic Flow Image**,

*CAIA84*(366-375).
Given the optical flow, establish the rigid body motion with only
instantaneous rotation and translation.
BibRef

*Ballard, D.H.[Dana H.]*, and
*Kimball, O.A.*,

**Rigid Body Motion from Depth and Optic Flow**,

*CVGIP(22)*, No. 1, April 1983, pp. 95-115.

WWW Version.
*Hough*.
Hough technique to determine body motion. See the Haralick comment
above. This uses 3-D optical flow and acceleration of points.
The 5-D Hough space is generated.
BibRef
**8304**

*Scheuing, A.*,
*Niemann, H.*,

**Computing Depth from Stereo Images by Using Optical Flow**,

*PRL(4)*, 1986, pp. 205-212.
BibRef
**8600**

*Tistarelli, M.*, and
*Vernon, D.*,

**Using Camera Motion to Estimate
Range for Robotic Parts Manipulation**,

*RA(6)*, No. 5, December 1990, pp. 509-521.
*Depth from Motion*.
*Active Vision*. Estimate depth and structure from controlled motion
of a robot arm.
BibRef
**9012**

*Grosso, E.*,
*Tistarelli, M.*,

**Active Dynamic Stereo Vision**,

*PAMI(17)*, No. 11, November 1995, pp. 1117-1128.

IEEE Top Reference. Originally printed as:
BibRef
**9511**
*PAMI(17)*, No. 9, September 1995, pp. 868-879.

IEEE via DOI But there were errors in the printing.
Motion and stereo to determine structure and free space.
See also Dynamic Aspects in Active Vision.
BibRef

*Grosso, E.*,
*Sandini, G.*, and
*Tistarelli, M.*,

**3-D Object Reconstruction Using Stereo and Motion**,

*SMC(19)*, No. 6, Nov/Dec 1989, pp. 1465-1476.
*Shape from Motion*.
*3D Reconstruction*. Control the motion and extract depth from both stereo and motion.
This gives more constraints on the final results.
BibRef
**8911**

*Grosso, E.*,
*Tistarelli, M.*, and
*Sandini, G.*,

**Active/Dynamic Stereo for Navigation**,

*ECCV92*(516-525).

Springer via DOI
*Dynamic Stereo*.
BibRef
**9200**

*Tistarelli, M.*,
*Grosso, E.*, and
*Sandini, G.*,

**Dynamic Stereo in Visual Navigation**,

*CVPR91*(186-193).

IEEE via DOI Depth from stereo and Optical flow.
BibRef
**9100**

*Grosso, E.*, and
*Tistarelli, M.*,

**Active/Dynamic Stereo: A General Framework**,

*CVPR93*(732-734).

IEEE via DOI
BibRef
**9300**

*Sandini, G.*, and
*Tistarelli, M.*,

**Active Tracking Strategy for Monocular Depth Inference over
Multiple Frames**,

*PAMI(12)*, No. 1, January 1990, pp. 13-27.

IEEE via DOI Depth is inferred from motion of edge contours over time (axial motion).
Uses two sampling rates, one to get instantaneous optical flow, the other
to derive depth.
BibRef
**9001**

*Akgul, Y.S.[Yusuf Sinan]*,
*Kambhamettu, C.[Chandra]*,

**A coarse-to-fine deformable contour optimization framework**,

*PAMI(25)*, No. 2, February 2003, pp. 174-186.

IEEE via DOI
**0301**

BibRef

Earlier:

**A New Multi-Level Framework for Deformable Contour Optimization**,

*CVPR99*(II: 465-470).

IEEE via DOI
BibRef

And:

**A Scale-Space Approach for Deformable Contour Optimization**,

*ScaleSpace99*(410-422).
Used in:
See also Extracting Nonrigid Motion and 3D Structure of Hurricanes from Satellite Image Sequences without Correspondences.
BibRef

*Palaniappan, K.*,
*Kambhamettu, C.[Chandra]*,
*Hasler, F.[Frederick]*,
*Goldgof, D.[Dmitry]*,

**Structure and Semi-Fluid Motion Analysis of
Stereoscopic Satellite Images for Cloud Tracking**,

*ICCV95*(659-665).

IEEE via DOI
BibRef
**9500**

*Khamene, A.[Ali]*,
*Negahdaripour, S.[Shahriar]*,

**Motion and structure from multiple cues; image motion, shading flow,
and stereo disparity**,

*CVIU(90)*, No. 1, April 2003, pp. 99-127.

WWW Version.
**0306**

BibRef

*Zhang, Y.[Ye]*,
*Kambhamettu, C.[Chandra]*,

**On 3-D scene flow and structure recovery from multiview image sequences**,

*SMC-B(33)*, No. 4, August 2003, pp. 592-606.

IEEE Abstract.
**0308**

BibRef

Earlier:

**On 3D Scene Flow and Structure Estimation**,

*CVPR01*(II:778-785).

IEEE via DOI
**0110**

BibRef

Earlier:

**Integrated 3D Scene Flow and Structure Recovery from Multiview Image
Sequences**,

*CVPR00*(II: 674-681).

IEEE via DOI
**0005**

BibRef

*Demirdjian, D.*,
*Darrell, T.J.*,

**Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D
Motion Estimation**,

*IJCV(47)*, No. 1-3, April-June 2002, pp. 219-228.

DOI Link
**0203**

BibRef

Earlier:
*SMBV01*(xx-yy).
**0110**

BibRef

*Schmudderich, J.*,
*Willert, V.[Volker]*,
*Eggert, J.[Julian]*,
*Rebhan, S.*,
*Goerick, C.*,
*Sagerer, G.*,
*Korner, E.*,

**Estimating Object Proper Motion Using Optical Flow, Kinematics, and
Depth Information**,

*SMC-B(37)*, No. 4, August 2008, pp. 1139-1151.

IEEE via DOI
**0808**

BibRef

*Hung, C.H.[Chun Ho]*,
*Xu, L.[Li]*,
*Jia, J.Y.[Jia-Ya]*,

**Consistent Binocular Depth and Scene Flow with Chained Temporal
Profiles**,

*IJCV(102)*, No. 1-3, March 2013, pp. 271-292.

WWW Version.
**1303**

input of a binocular video
BibRef

HTML Version.

Add color to flow computations. BibRef

*Yoda, I.[Ikushi]*, and
*Sakaue, K.[Katsuhiko]*,

**Utilization of Stereo Disparity and Optical Flow Information
for Human Interaction**,

*ICCV98*(1109-1114).

IEEE via DOI
BibRef
**9800**

*Sudhir, G.*,
*Banerjee, S.*,
*Biswas, K.K.*,
*Bahl, R.*,

**A Cooperative Integration of Stereopsis and Optic Flow Computation**,

*ICPR94*(A:356-360).

IEEE via DOI
BibRef
**9400**

*Moezzi, S.*,
*Bartlett, S.L.*, and
*Weymouth, T.E.*,

**The Camera Stability Problem and Dynamic Stereo Vision**,

*CVPR91*(109-114).

IEEE via DOI Match depth maps.
BibRef
**9100**

*Moezzi, S.*, and
*Weymouth, T.E.*,

**A model for fusion of spatial information in dynamic vision**,

*CRA90*(II: 1148-1153).
BibRef
**9000**

*Weymouth, T.E.*,
*Moezzi, S.*,

**Wide Base-Line Dynamic Stereo: Approximation and Refinement**,

*CVPR88*(183-188).

IEEE Abstract.
BibRef
**8800**

Chapter on Motion Analysis --Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in

Spatio-Temporal Analysis -- Many Frames .

Last update:Dec 1, 2014 at 14:00:53