Motion estimation using ordinal measures

Wepresent a methodfor motion estimation using ordinal measures. Ordinal measures are based on relative ordering of intensity values in a image regioncalled rankpermutation. While popular measures like the sum-of squared-difference (SSD)and normalized correlation (NCC)rely on linearity between corresponding intensity values, ordinal measures only require them to be monotonically related so that rank permutations between corresponding regions are preserved. This property turns out to be usefil for motion estimation in tagged Magnetic Resonance Images. We study the imaging equation involved in two methods of tagging and observe temporal monotonicity in intensity under certain conditions though the tags themselvesfade. We compare our method to SSD and NCC in a rotating ring phantom image sequence. We present an experiment on a real heart image sequence which suggests the suitability of our method.

• Type: Conference
• Year: 1997
• Where: CVPR
• Authors: Dinkar N. Bhat, Shree K. Nayar, Alok Gupta
• Keywords: Computer Vision, CVPR 1997, Intensity Values, Motion Estimation, Ordinal Measures