A Comparison of Fiducial Shapes for Machine Vision Registration

نویسندگان

  • Lawrence O'Gorman
  • Alfred M. Bruckstein
  • Chinmoy B. Bose
  • Israel Amir
چکیده

One way to perform registration and alignment for machine assembly is with respect to precisely located landmarks, called fiducials. that are located by machine vision means. For applications such as elearonics assembly, where densities are high and tolerances must be low. the precision by which the fiducials are located affects everything aligned relative to them. Because of s~a t ia l sam~l ine ffects. differenllv shaoed fiducials . " . . can be measured with different levels of precision. In past work we have determined and mmpared the minimax precision error for simple geometric shapes, and extended the results to pmpose a cmcentric pattem as having desirable qualities of high location precision and rotational invariance. We reiterate this work, and extend it to examine the performance of the concentric fiducial as a function of diameter, number of rings. noise, and ring spacing.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparison of Different Targets Used in Augmented Reality Applications in Ubiquitous GIS

Drilling requires accurate information about locations of underground infrastructures or it can cause serious damages. Augmented Reality (AR) as a technology in Ubiquitous GIS (UBIGIS) can be used to visualize underground infrastructures on smartphones. Since smartphone’s sensors do not provide such accuracy, another approaches should be applied. Vision based computer vision systems are well kn...

متن کامل

Algorithm for the Solar Aspect System of the High Energy Replicated

Title of Document: VISION ALGORITHM FOR THE SOLAR ASPECT SYSTEM OF THE HIGH ENERGY REPLICATED OPTICS TO EXPLORE THE SUN MISSION Alexander Krishnan Cramer, M.S., 2014 Directed By: Professor Ramalingam Chellappa, Department of Electrical and Computer Engineering This work covers the design and test of a machine vision algorithm for generating highaccuracy pitch and yaw pointing solutions relative...

متن کامل

Rule-Based Segmentation for Intensity-Adaptive Fiducial Detection

This paper describes a new fiducial detection method for use under varying lighting conditions without manual control of any parameters. We developed the algorithm especially for vision-based Augmented Reality (AR) systems. The major problem in Augmented Reality is the registration between the virtual world and the real world. The user’s pose in both worlds should be exactly the same. Vision-ba...

متن کامل

Machine Learning Models for Housing Prices Forecasting using Registration Data

This article has been compiled to identify the best model of housing price forecasting using machine learning methods with maximum accuracy and minimum error. Five important machine learning algorithms are used to predict housing prices, including Nearest Neighbor Regression Algorithm (KNNR), Support Vector Regression Algorithm (SVR), Random Forest Regression Algorithm (RFR), Extreme Gradient B...

متن کامل

General approach to error prediction in point registration

A method for the first-order analysis of the point registration problem is presented and validated. The method is a unified approach to the problem that allows for inhomogeneous and anisotropic fiducial localization error (FLE) and arbitrary weighting in the registration algorithm. Cross-covariance matrices are derived both for target registration error (TRE) and for weighted fiducial registrat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1990