Applying Merging Convetional Marker and Backpropagation Neural Network in QR Code Augmented Reality Tracking
نویسندگان
چکیده
Usability of QR Code in Augmented Reality system has been used for digital content accessible publicly. However, QR Code in AR system still has imprecision tracking. In this article we propose merging QR Code within conventional marker and backpropagation neural network (BPNN) algorithm to recognizing QR Code Finder Pattern. The method which our chosen to approaching conventional marker. The result of BPNN testing, QRFP detected in perspective distortion with ID-encoded character length 78, 53 and 32. The result has accuracy of 6DOF ±10.65o pitching, ±15.03° yawing and ±408.07 surging, marker stability has 97.625% and computation time runs at 35.41 fps.
منابع مشابه
Learnable Visual Markers
We propose a new approach to designing visual markers (analogous to QR-codes, markers for augmented reality, and robotic fiducial tags) based on the advances in deep generative networks. In our approach, the markers are obtained as color images synthesized by a deep network from input bit strings, whereas another deep network is trained to recover the bit strings back from the photos of these m...
متن کاملSpectral Estimation of Printed Colors Using a Scanner, Conventional Color Filters and applying backpropagation Neural Network
Reconstruction the spectral data of color samples using conventional color devices such as a digital camera or scanner is always of interest. Nowadays, multispectral imaging has introduced a feasible method to estimate the spectral reflectance of the images utilizing more than three-channel imaging. The goal of this study is to spectrally characterize a color scanner using a set of conventional...
متن کاملHybrid Adaptive Neural Network AUV controller design with Sliding Mode Robust Term
This work addresses an autonomous underwater vehicle (AUV) for applying nonlinear control which is capable of disturbance rejection via intelligent estimation of uncertainties. Adaptive radial basis function neural network (RBF NN) controller is proposed to approximate unknown nonlinear dynamics. The problem of designing an adaptive RBF NN controller was augmented with sliding mode robust term ...
متن کاملA Tracking Accuracy Guarantee System on Augmented Reality
Improvement of tracking accuracy is an important issue when applying augmented reality to nuclear power plant fieldwork. Tracking accuracy depends highly on the marker arrangement when employing a tracking method using a camera and markers. For those reasons, this study develops a wheel tracking error computation method to compute the tracking error from the marker arrangement and errors in the...
متن کامل