The algebraic eigenvalue problem
The algebraic eigenvalue problem
Motion and Structure From Two Perspective Views: Algorithms, Error Analysis, and Error Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Subspace methods for recovering rigid motion I: algorithm and implementation
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
Linear subspace methods for recovering translational direction
Proceedings of the 1991 York conference on Spacial vision in humans and robots
Optical flow estimation: advances and comparisons
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Unbiased Estimation and Statistical Analysis of 3-D Rigid Motion from Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Motion and Structure Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
New Eyes for Shape and Motion Estimation
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Hardware implementation of optical flow constraint equation using FPGAs
Computer Vision and Image Understanding
Hardware implementation of optical flow constraint equation using FPGAs
Computer Vision and Image Understanding
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A noniterative method using optical flow to recover the translation direction of a moving camera has been previously proposed in [4]. We present a detailed explanation of the bias in this algorithm and compare methods for eliminating this bias, as well as presenting a comprehensive error analysis. This analysis includes a necessary modification to the Cramér-Rao lower bound (CRLB). We propose a simple iterative modification to the algorithm which produces unbiased translation direction estimates that approach the CRLB. Numerical results are used to compare the various techniques on synthetic and real image sequences.