A Kalman filter approach for accurate 3-D motion estimation from a sequence of stereo images

CVGIP: Image Understanding

Volumn 54, Issue 2, 1991, Pages 244-258

  Lee, Sukhan ^a,b   Kay, Youngchul ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL, MECHANICAL VARIABLES - MOTION; IMAGE PROCESSING - RECONSTRUCTION;

GAUSSIAN NOISE; NOISE TO SIGNAL RATIO;

SIGNAL FILTERING AND PREDICTION;

KALMAN FILTER; MOTION ESTIMATION; STEREO IMAGE; THREE DIMENSIONAL ESTIMATION;

EID: 0026359287     PISSN: 10499660     EISSN: None     Source Type: Journal    
DOI: 10.1016/1049-9660(91)90066-X     Document Type: Article

References (18)

1. Determining the movement of objects from a sequence of images
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6. Uniqueness and estimation of three dimensional motion parameters of rigid objects with curved surfaces
7. Robust algorithm for motion estimation based on two sequential stereo image pairs
8. Error analysis in stereo determination of 3-D point position
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12. 3-D motion estimation using a sequence of noisy stereo images
13. Motion detection and estimation from stereo image sequences: Some preliminary experimental results
14. Modelling the Environment of an Exploring Vehicle by Means of Stereo Vision
15. Error modeling in stereo navigation