Computer Vision and Graphics Laboratory, Department of Electrical Engineering, McGill University, Montreal, P.Q., Canada.
IEEE Trans Pattern Anal Mach Intell. 1982 Mar;4(3):277-91. doi: 10.1109/tpami.1982.4767244.
This paper presents a model of motion suitable for cell tracking. It includes a representation for cell dynamics enabling it to maintain a correspondence between successive images of cells undergoing morphological changes. This model is based on a minimization problem whose computational solution is similar in form to a Newton-Rhapson iteration. The model is supported by experimental results from an actual tracking problem.
本文提出了一种适用于细胞跟踪的运动模型。它包括一种细胞动力学的表示方法，使它能够在细胞经历形态变化的连续图像之间保持对应关系。该模型基于一个最小化问题，其计算解在形式上类似于牛顿-拉普森迭代。该模型得到了实际跟踪问题的实验结果的支持。
