High-accuracy 3D locators tracking in real time using monocular vision

IF 2.4 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
C. Elmo Kulanesan, P. Vacher, L. Charleux, E. Roux
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Abstract

In the field of medical applications, precise localization of medical instruments and bone structures is crucial to ensure computer-assisted surgical interventions. In orthopedic surgery, existing devices typically rely on stereoscopic vision. Their purpose is to aid the surgeon in screw fixation of prostheses or bone removal. This article addresses the challenge of localizing a rigid object consisting of randomly arranged planar markers using a single camera. This approach is especially vital in medical situations where accurate object alignment relative to a camera is necessary at distances ranging from 80 cm to 120 cm. In addition, the size limitation of a few tens of centimeters ensures that the resulting locator does not obstruct the work area. This rigid locator consists of a solid at the surface of which a set of plane markers (ArUco) are glued. These plane markers are randomly distributed over the surface in order to systematically have a minimum of two visible markers whatever the orientation of the locator. The calibration of the locator involves finding the relative positions between the individual planar elements and is based on a bundle adjustment approach. One of the main and known difficulties associated with planar markers is the problem of pose ambiguity. To solve this problem, our method lies in the formulation of an efficient initial solution for the optimization step. After the calibration step, the reached positioning uncertainties of the locator are better than two-tenth of a cubic millimeter and one-tenth of a degree, regardless of the orientation of the locator in space. To assess the proposed method, the locator is rigidly attached to a stylus of about twenty centimeters length. Thanks to this approach, the tip of this stylus seen by a 16.1 megapixel camera at a distance of about 1 m is localized in real time in a cube lower than 1 mm side. A surface registration application is proposed by using the stylus on an artificial scapula.

Abstract Image

利用单目视觉实时跟踪高精度 3D 定位器
在医疗应用领域,医疗器械和骨骼结构的精确定位对于确保计算机辅助手术干预至关重要。在骨科手术中,现有设备通常依赖于立体视觉。其目的是帮助外科医生进行假体的螺钉固定或骨切除。本文探讨的难题是如何使用单个摄像头定位由随机排列的平面标记组成的刚性物体。这种方法在医疗领域尤为重要,因为在这种情况下,需要在 80 厘米到 120 厘米的距离内将物体与摄像机准确对准。此外,几十厘米的尺寸限制确保了定位器不会妨碍工作区域。这种刚性定位器由一个实体组成,实体表面粘有一组平面标记(ArUco)。这些平面标记在表面上随机分布,以便无论定位器的方向如何,都至少有两个可见标记。定位器的校准涉及到寻找各个平面元素之间的相对位置,并以束调整方法为基础。与平面标记相关的已知主要困难之一是姿态模糊问题。为了解决这个问题,我们的方法在于为优化步骤制定一个有效的初始解决方案。校准步骤完成后,无论定位器在空间中的方向如何,定位器达到的定位不确定性均优于十万分之二立方毫米和十分之一度。为了评估所提出的方法,定位器被固定在一根约二十厘米长的测针上。通过这种方法,一台 1610 万像素的摄像头在约 1 米的距离上看到的这支触笔的笔尖可以实时定位在一个边长小于 1 毫米的立方体中。通过在人工肩胛骨上使用测针,提出了一种表面注册应用。
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来源期刊
Machine Vision and Applications
Machine Vision and Applications 工程技术-工程:电子与电气
CiteScore
6.30
自引率
3.00%
发文量
84
审稿时长
8.7 months
期刊介绍: Machine Vision and Applications publishes high-quality technical contributions in machine vision research and development. Specifically, the editors encourage submittals in all applications and engineering aspects of image-related computing. In particular, original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision, are all within the scope of the journal. Particular emphasis is placed on engineering and technology aspects of image processing and computer vision. The following aspects of machine vision applications are of interest: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-end sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization. Papers must include a significant experimental validation component.
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