Estimating Dimensions of Free-Swimming Fish Using 3D Point Distribution Models
Estimating Dimensions of Free-Swimming Fish Using 3D Point Distribution Models
复制标题
使用 3D 点分布模型估计自由游动鱼的尺寸
DOI：
10.1006/cviu.2000.0847
复制
发表时间：
2000
期刊：
影响因子：
--
通讯作者：
J. Lines
中科院分区：
文献类型：
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作者：
R. Tillett;N. McFarlane;J. Lines
监测养殖鱼类的生长是一项重要的任务，但目前很难执行。水下立体图像分析技术提供了潜在的估计自由游动的鱼，从鱼的质量可以估计的关键尺寸。本文介绍了一个三维点分布模型的发展，以捕捉鲑鱼的典型形状和变异性从侧面看。该模型通过最小化基于概率分布的能量函数来拟合测试鱼的立体图像。最小化是一种迭代的两步法，其中根据大小、方向和与模型的接近度选择边缘，然后将模型拟合到边缘。设计了一种三维图像中边缘定位的搜索策略。该模型在两个图像集上进行了测试。在第一组中，26条鱼中的19条被定位，尽管它们的外观变化不定，而且附近的鱼也存在。在第二组中，对11张鱼的图像进行的测量与鱼尺寸的手动测量进行比较，并且显示长度估计的平均误差为5%。
Monitoring the growth of farmed fish is an important task which is currently difficult to carry out. An underwater stereo image analysis technique offers the potential for estimating key dimensions of free-swimming fish, from which the fish mass can be estimated. This paper describes the development of a three-dimensional point distribution model to capture the typical shape and variability of salmon viewed from the side. The model was fitted to stereo images of test fish by minimizing an energy function, which was based on probability distributions. The minimization was an iterated two-step method in which edges were selected for magnitude, direction, and proximity to the model, and the model was then fitted to the edges. A search strategy for locating the edges in 3D was devised. The model is tested on two image sets. In the first set 19 of the 26 fish are located in spite of their variable appearance and the presence of neighboring fish. In the second set the measurements made on 11 images of fish are compared with manual measurements of the fish dimensions and show an average error in length estimation of 5%.