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

巴伦博士研究的中心主题是2D和3D图像以及3D距离运动的测量和解释。二维图像运动是指图像序列中每个图像点的局部二维运动，用二维光流来表示。三维图像运动是体素在体积序列中的体积运动，可以用三维光流来近似。由范围流近似的3D距离运动是曲面点上的局部3D运动(因此，可以将其视为曲面上的3D光流)。他的研究的一些应用可以是：(1)在卡尔曼滤波框架中，使用时变的2D光流从移动的摄像机生成的图像序列中恢复摄像机的平移和旋转参数以及场景深度图。(2)利用2D光流(包括近红外图像)测量2D/3D玉米幼苗生长。(3)利用时变的三维地表距离数据计算的三维距离流测量叶片的运动和生长。(4)测量门控MRI心脏数据集序列中的体素运动，从而导致分析，比方说，分析左心壁的运动。(5)在三维多普勒降水密度和径向速度数据集上跟踪恶劣天气风暴。这项研究有助于自动车辆导航、监测受控环境(温室)中的植物生长、心脏病诊断和多普勒雷达天气实况预报/预报的自动化。

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.