The measurement and interpretation of 2D and 3D image motion

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The central theme of Dr. Barron's research deals with the measurement and interpretation of 2D and 3D image image and 3D range motion. 2D image motion, approximated by 2D optical flow, is the local 2D motion at each image point in an image sequence. 3D image motion, approximated by 3D optical flow, is the volumetric motions of voxels in volume sequences. 3D Range motion, approximated by range flow, is the local 3D motion at surface points (and as such can be considered 3D optical flow on a surface). Some of the applications of his research could be: (1) Recovery of camera translation and rotation parameters and scene depth maps from a sequence of images generated by the moving camera using time-varying 2D optical flow in a Kalman filtering framework. (2) Measurement of 2D/3D corn seedling growth from 2D optical flow (including in the dark using near-infrared imagery). (3) Measurement of leaf motion and growth using 3D range flow computed from time-varying 3D surface range datsets. (4) Measurement of voxel motion in sequences of gated MRI cardiac datasets leading to analysis, say, of the motion of the left ventricular heart wall. (5) Tracking of severe weather storms in 3D Doppler precipitation density and radial velocity datasets. This research contributes to the areas of autonomous vehicle navigation, monitoring plant growth in controlled environments (greenhouses), diagnosis of heart disease, and automation of Doppler radar weather nowcasting/forecasting.