Broida, T.J.[Ted J.], and
Chellappa, R.,
Estimation of Object Motion Parameters from Noisy Images,
PAMI(8), No. 1, January 1986, pp. 90-99.
BibRef
8601
And:
CVPR85(82-88).
Hughes Aircraft and USC
Motion, Kalman filter.
Kalman Filter.
Uses a long sequence of images (20-30) to Eliminate the
noise. Synthetic data, estimate motion of rigid objects. This
uses a Kalman filter approach. The Pami paper is best.
BibRef
Broida, T.J.[Ted J.], and
Chellappa, R.,
Estimating the Kinematics and Structure of a Rigid Object from a
Sequence of Monocular Images,
PAMI(13), No. 6, June 1991, pp. 497-513.
IEEE DOI
BibRef
9106
Earlier:
Experiments and Uniqueness Results on Object Structure and
Kinematics from a Sequence of Monocular Images,
Motion89(21-30),
BibRef
And:
Kinematics and Structure of a Rigid Object from a
Sequence of Noisy Images,
Motion86(95-100). This is the iterative approach.
BibRef
And:
Kinematics of a Rigid Object from a Sequence of Noisy Images:
A Batch Approach,
CVPR86(176-182).
Motion, Structure. Use all the data at once. This is the
extension to 3-D for the Kalman filter approach.
BibRef
Broida, T.J., and
Chellappa, R.,
Performance Bounds for Estimating Three-Dimensional Motion
Parameters from a Sequence of Noisy Images,
JOSA-A(6), 1989, pp. 879-889.
Motion, Estimation Evaluation.
BibRef
8900
Broida, T.J.,
Chandrashekhar, S., and
Chellappa, R.,
Recursive 3-D Motion Estimation from a Monocular Image Sequence,
AeroSys(26), No. 4, July 1990, pp. 639-656.
A more complete paper for the recursive solution (incremental)
with rigid, smooth motion using a Taylor series representation,
quaternions, and the iterated extended Kalman filter.
BibRef
9007
Chandrashekhar, S., and
Chellappa, R.,
Passive Navigation in a Partially Known Environment,
JRobS(9), June 1992, pp. 729-752.
BibRef
9206
Earlier:
Motion91(2-7).
Extension of Broida work and use of basic corner detectors for
features.
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Motion Using Stereo Pairs or Depth, Multiple Cameras -- Features .