16.3.1 Motion Using Depth Information

Chapter Contents (Back)
Motion and Depth.

Sabata, B., and Aggarwal, J.K.,
Estimation of Motion from a Pair of Range Images: A Review,
CVGIP(54), No. 3, November 1991, pp. 309-324.
WWW Version. Survey, Motion. Motion, Survey. Discussion of various methods with the same formulation. BibRef 9111

Sabata, B., Aggarwal, J.K.,
Surface Correspondence and Motion Computation from a Pair of Range Images,
CVIU(63), No. 2, March 1996, pp. 232-250.
WWW Version. BibRef 9603

Horn, B.K.P., and Harris, J.G.,
Rigid Body Motion from Range Image Sequences,
CVGIP(53), No. 1, January 1991, pp. 1-13.
WWW Version. Range Data, Registration. Register range data (ERIM scanner from the ALV) and determine the actual motion parameters of the vehicle. BibRef 9101

Yamamoto, M.[Masanobu],
A General Aperture Problem for Direct Estimation of 3-D Motion Parameters,
PAMI(11), No. 5, May 1989, pp. 528-536.
IEEE Abstract. IEEE Top Reference.
WWW Version. Utilize the depth and there are only a few cases where 3-D motion is not possible. This requires spatial and temporal gradients to be accurately computed for a number of points (5?). BibRef 8905

Blostein, S.D., and Huang, T.S.,
Algorithms for Motion Estimation Based on Three-Dimensional Correspondences,
MU88(329-352). Motion given depths in a straightforward technique (really just generating the transformation that maps the points). BibRef 8800

Lin, Z.C., Lee, H., and Huang, T.S.,
Finding 3D Point Correspondences in Motion Estimation,
ICPR86(303-305). BibRef 8600

Kehtarnavaz, N., and Mohan, S.,
A Framework for Estimation of Motion Parameters from Range Images,
CVGIP(45), No. 1, January 1989, pp. 88-105.
WWW Version. Matching, Graphs. BibRef 8901

Vemuri, B.C., and Skofteland, G.,
Invariant Surface and Motion Estimation from Sparse Range Data,
JMIV(1), 1992, pp. 43-64. BibRef 9200
Earlier:
Surface and Motion Estimation from Sparse Range Data,
CVPR91(751-752).
IEEE Abstract. IEEE Top Reference. BibRef

Forsberg, J., Larsson, U., Wernersson, A.,
Mobile Robot Navigation Using the Range-Weighted Hough Transform,
RAMag(2), No. 1, March 1995, pp. 18-26. BibRef 9503

Kloor, P.L., Wernersson, A.,
On Estimating a Robot's Motion from Laser Range Measurements Using the Distance Transform,
ICPR92(I:772-776).
WWW Version. BibRef 9200

Smith, P.W., Nandhakumar, N., Chien, C.H.,
Object Motion And Structure Recovery for Robotic Vision Using Scanning Laser Range Sensors,
RA(13), No. 1, February 1997, pp. 74-80. 9703 BibRef


Labrie, M.[Martin], Hebert, P.[Patrick],
Efficient camera motion and 3D recovery using an inertial sensor,
CRV07(55-62).
WWW Version. 0705 BibRef

Terui, F., Kamimura, H., Nishida, S.,
Motion Estimation to a Failed Satellite on Orbit using Stereo Vision and 3D Model Matching,
ICARCV06(1-8).
WWW Version. 0612 BibRef

Strelow, D.W., Singh, S.,
Optimal motion estimation from visual and inertial measurements,
WACV02(314-319).
IEEE Abstract. IEEE Top Reference. 0303 BibRef

Strelow, D.W.[Dennis W.],
Motion Estimation from Image and Inertial Measurements,
CMU-CS-TR-04-178. 2004. BibRef 0400 Ph.D.Thesis.
HTML Version. 0501 BibRef

Gonzalez, J.,
Recovering Motion Parameters from a 2D Range Image Sequence,
ICPR96(I: 433-440).
WWW Version. 9608(Universidad de Malaga, E) BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Structure from Motion - Other .


Last update:Sep 2, 2008 at 17:29:35