Abstract
Most of the earlier or recent studies addressing the problem of computing structure and motion in a monocular image sequence assume that the calibration of the system is known [5.1–4], whereas we now have enough knowledge about auto-calibration, thanks to recent studies in the field [5.5–8].
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chapter 5
E. Francois and P. Bouthemy. Multiframe-Based Identification of Mobile Components of a Scene with a Moving Camera. In: Conference on Computer Vision and Pattern Recognition, Hawai, pp. 166–172. IEEE Computer Society Press, Alamitos, CA, 1991.
N. Ayache and O.D. Faugeras. Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects. IEEE Trans, on Pattern Analysis and Machine Intelligence, 7:384–401, 1985.
S. Peleg and H. Rom. Motion Based Segmentation. In: Proc. of the 10th IEEE Conference on Pattern Recognition, Atlantic City, pp. 109–113, 1990.
D.W. Murray and H. Buxton. Scene Segmentation from Visual Motion Using Global Optimization. IEEE Trans, on Pattern Analysis and Machine Intelligence, 9:220–228, 1987.
O.D. Faugeras, Q.T. Luong, and S. Maybank. Camera Self-Calibration: Theory and Experiment. In: 2nd European Conference on Computer Vision, Genoa, 1992.
H.P. Trivedi . Semi-analytic Method for Estimating Stereo Camera Geometry from Matched Points. Image and Vision Computing, 9, 1991.
N.A. Thacker . On-line Calibration of a 4-dof Robot Head for Stereo Vision. In: British Machine Vision Association Meeting on Active Vision, London, 1992.
T. Viéville . Autocalibration of Visual Sensor Parameters on a Robotic Head. Image and Vision Computing, 12, 1994.
M.J. Stephens, R.J. Blisset, D. Charnley, E.P. Sparks, and J.M. Pike. Outdoor Vehicle Navigation Using Passive 3D Vision. In: Computer Vision and Pattern Recognition, pp. 556–562. IEEE Computer Society Press, 1989.
Deriche and O.D. Faugeras. Tracking Line Segments. In: Proc. of the 1st European Conference on Computer Vision, Antibes, pp. 259–269. Springer- Verlag, Berlin, 1990.
R. Deriche and B. Giai-Checa. Appariement de Segments dans une Sequence d’Images. In: Orasis Meeting, 1991.
J.M. Lavest, G. Rives, and M. Dhome. 3D Reconstruction by Zooming. In: Intelligent Autonomous System, Pittsburg, 1993.
O.D. Faugeras.Three-Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, Boston, 1993.
A.M. Waxman and S. Ullman. Surface Structure and Three-Dimensional Motion from Image Flow Kinematics. International J. of Robot. Res., 4, 1985.
R. Tsai, T.S. Huang, and W.L. Zhu. Estimating Three-Dimensional Motion Parameters of a Rigid Planar Patch, ii: Singular Value Decomposition. IEEE Trans, on Acoustic, Speech and Signal Processing, 30:525–534, August 1982.
T. Viéville, C. Zeller, and L. Robert. Using Collineations to Compute Motion and Structure in an Uncalibrated Image Sequence. International J. of Computer Vision, 1995. To appear.
T. Viéville, P.E.D.S. Facao, and E. Clergue. Computation of Ego-Motion Using the Vertical Cue. Machine Vision and Applications, 1994. To appear.
Q.-T. Luong and T. Vieville. Canonic Representations for the Geometries of Multiple Projective Views. In: 3rd European Conference on Computer Vision, Stockholm, 1994.
H.C. Longuet-Higgins. A Computer Algorithm for Reconstructing a Scene from Two Projections. Nature, 293:133–135, 1981.
T. Luong. Matrice Fondamentale et Calibration Visuelle sur l’Environnement. PhD thesis, Université de Paris-Sud, Orsay, 1992.
L. Robert and O.D. Faugeras. Relative 3D Positioning and 3D Convex Hull Computation from a Weakly Calibrated Stereo Pair. In: 4th International. Conference on Computer Vision, Berlin, ed. by H.H. Nagel. IEEE Computer Society Press, Los Alamitos, CA, 1993.
Q.T. Luong and O.D. Faugeras. Determining the Fundamental Matrix with Planes: Instability and New Algorithms. In: IEEE Proc. CVPR ’93, New- York, June, pp. 194–199, 1993.
O.D. Faugeras, F. Lustman, and G. Toscani. Motion and Structure from Point and Line Matches. In: Proc. of the 1st International Conference on Computer Vision, London, pp. 25–34, June 1987.
T. Viéville. Estimation of 3D-Motion and Structure from Tracking 2D-Lines in a Sequence of Images. In: Proc. of the 1st European Conference on Computer Vision, Antibes, pp. 281–292. Springer-Verlag, Berlin, 1990.
T. Viéville. Estimation of 3D-Motion and Structure from Tracking 2D-Lines in a Sequence of Images. In: Proc. of the 1st European Conference on Computer Vision, Antibes, pp. 281–292. Springer-Verlag, Berlin, 1990.
T. Viéville and P. Sander. Using Pseudo Kalman-Filters in the Presence of Constraints. Technical Report RR-1669, INRIA, Sophia, France, 1992.
T. Vievillé, Q.T. Luong, and O.D. Faugeras. Motion of Points and Lines in the Uncalibrated Case. International J. of Computer Vision, 1994. To appear.
Q.T. Luong, R. Deriche, O.D. Faugeras, and T. Papadopoulo. On Determining the Fundamental Matrix: Analysis of Different Methods and Experimental Results. Technical Report RR-1894, INRIA, Sophia, France, 1993.
Y. Bar Shalom and T.E. Fortmann. Tracking and Data Association. Academic-Press, Boston, 1988.
P.R. Kumar and P. Varaiya, editors. Stochastic Systems: Estimation, Identification and Adaptive Control. Prentice Hall, New Jersey, 1986.
D.W. Murray, P.F. MacLauchlan, I.D. Reid, and P.M. Sharkey. Reactions to Peripheral Image Motion Using a Head/Eye Platform. In: 4th International Conference on Computer Vision, pp. 403–411. IEEE Society, 1993.
P.E. Jupp and K.V. Martin. A Unified View of the Theory of Directional Statistics. International Statistical Review, 57, 1989.
R.T. Collins and R.S. Weiss. Vanishing Point Calculation as a Statistical Inference on the Unit Sphere. In: Proc. of the 3rd International Conference on Computer Vision, Osaka, pp. 400–405. IEEE Computer Society Press, Alamitos, CA, 1990.
B. Giai-Checa, P. Bouthemy, and T. Viéville. Detection of Moving Objects. Technical Report RR-1906, INRIA, Sophia, France, 1993.
O.D. Faugeras, B. Hotz, H. Mathieu, T. Viéville;, Z. Zhang, P. Fua, E. Théron, L. Moll, G. Berry, J. Vuillemin, P. Bertin, and C. Proy. Real Time Correlation- Based Stereo: Algorithm, Implementations, and Applications. Technical Report 2013, INRIA, 1993.
M.J. Blake and P. Anandan. A Framework for the Robust Estimation of Optical Flow. In: 4th International Conference on Computer Vision, pp. 231–236. IEEE Society, 1993.
Z. Zhang, R. Deriche, Q.T. Luong, and O. Faugeras. A Robust Approach to Image Matching: Recovery of the Epipolar Geometry. In: Proc. of the International Symposium of Young Investigators on Information and Computer Control, 1994. In press.
T. Viéville. Vision Modules for Active Vision. Technical Report, Université de Nice, 1993. Hand-Book of the Active Vision Course, INRIA, Sophia, France.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Viéville, T. (1997). Retinal Motion as a Cue for Active Vision. In: A Few Steps Towards 3D Active Vision. Springer Series in Information Sciences, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60842-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-60842-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-64580-8
Online ISBN: 978-3-642-60842-1
eBook Packages: Springer Book Archive