DocumentCode
3073372
Title
Estimation of the second order spatio-temporal derivatives of deforming image curves
Author
Papadopoulo, T. ; Faugeras, O.
Author_Institution
Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
Volume
1
fYear
1994
fDate
9-13 Oct 1994
Firstpage
179
Abstract
This paper intends to show that the second order spatio-temporal derivatives of de-forming image curves can be computed quite accurately from image sequences. These quantities, related to the second order optical flow parameters, are useful in the computation of the motion and the structure of a 3-D rigid curve from monocular image sequences. We show that they can be estimated directly from the points of the spatio-temporal surface generated by the image curve using polynomial approximation, and that the accuracy is at least comparable and often much better than that obtained using the other standard techniques. We consider particularly the special case of curvature because the estimation of that quantity has been studied before and show the results obtained using different methods. We then propose a “pseudo scale-space” method that should improve further the accuracy of the results
Keywords
image processing; 3D rigid curve; curvature estimation; deforming image curves; image sequences; monocular image sequences; motion computation; polynomial approximation; pseudo scale-space method; second-order optical flow parameters; second-order spatio-temporal derivatives estimation; spatio-temporal surface; structure computation; Acceleration; Computer vision; Contracts; Detectors; Image edge detection; Image generation; Image motion analysis; Image sequences; Polynomials; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location
Jerusalem
Print_ISBN
0-8186-6265-4
Type
conf
DOI
10.1109/ICPR.1994.576253
Filename
576253
Link To Document