JISE


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Journal of Information Science and Engineering, Vol. 8 No. 3, pp. 321-341


Motion Parameter Estimation on Three-Dimensional Dynamic Scenes: a Hadamard Transform Approach


Chang-Wu Fu, Shang-Hong Lai and Shyang Chang
Department of Electrical Engineering 
National Tsing Hua University 
Hsinchu, Taiwan, Republic of China


    A method based on the spatial-temporal Hadamard transform is proposed to estimate 3-D translational motion parameters. In addition to the advantages of fast computation and easy implementation, this method has no restriction on the magnitude of displacement. For an image of size 2n×2n, only 2n+1 coefficients need to be computed for translational parameters. Moreover, this method can be extended to the time-varying space-invariant (TVSI) illumination case. As a byproduct, the para- meters of rotation about the optical axis can also be estimated by the modified algorithm.
    Furthermore, a modified version of Pentland's depth recovery algorithm can be incorporated into previous analysis to obtain the real-world translational motion under the constraint that only one camera is used. Finally, experimental results of this method and its comparison with the Fourier method are also illustrated.


Keywords: motion parameter estimation, hadamard transform, depth estimation, measurement from defocus, computer vision, dynamic scenes

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