Reduction of inherent ambiguities in structure from motion problem using inertial data

The reduction of inherent ambiguities in structure from motion (SfM) using inertial data is addressed. First, we show that the translation-rotation ambiguity in SfM from a noisy flow field computed from two frames can be completely eliminated by using noise free inertial rate data. Secondly, we show that the admissible solution space for SfM from noisy feature correspondences can be reduced by using inertial data.

[1]  S. B. Kang,et al.  Recovering 3 D Shape and Motion from Image Streams using Non-Linear Least Squares , 1993 .

[2]  Alex Pentland,et al.  Recursive Estimation of Motion, Structure, and Focal Length , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Hans-Hellmut Nagel,et al.  The coupling of rotation and translation in motion estimation of planar surfaces , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Daryl T. Lawton,et al.  Processing translational motion sequences , 1983, Comput. Vis. Graph. Image Process..

[5]  Gilad Adiv,et al.  Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Fred C. Schweppe,et al.  Uncertain dynamic systems , 1973 .

[7]  Gilad Adiv,et al.  Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Rama Chellappa,et al.  Statistical Analysis of Inherent Ambiguities in Recovering 3-D Motion from a Noisy Flow Field , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Richard Szeliski,et al.  Recovering 3D shape and motion from image streams using nonlinear least squares , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Thomas S. Huang,et al.  Uniqueness and Estimation of Three-Dimensional Motion Parameters of Rigid Objects with Curved Surfaces , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.