scholarly journals FastQR: Fast Pose Estimation of Objects Based on Multiple QR Codes and Monocular Vision in Mobile Embedded Devices

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yuheng Yan ◽  
Yiqiu Liang ◽  
Zihan Zhou ◽  
Bin Jiang ◽  
Jian Xiao
Keyword(s):  
Pose Estimation ◽  
Limited Resource ◽  
Monocular Vision ◽  
Frame Rate ◽  
Estimation Methods ◽  
Qr Code ◽  
Spatial Constraint ◽  
Qr Codes ◽  
Embedded Devices ◽  
Resource Conditions

In recent years, the pose estimation of objects has become a research hotspot. This technique can effectively estimate the pose changes of objects in space and is widely used in many mobile devices, such as AR/VR. At present, mainstream technologies can achieve high-precision pose estimation, but the problem of that of multiple irregular objects in mobile and embedded devices under limited resource conditions is still challenging. In this paper, we propose a FastQR algorithm that can estimate the pose of multiple irregular objects on Renesas by utilizing homography method to solve the transformation matrix of a single QR code and then establish the spatial constraint relationship between multiple QR codes to estimate the posture of irregular objects. Our algorithm obtained a competitive result in simulation and verification on the RZ/A2M development board of Renesas. Moreover, the verification results show that our method can estimate the spatial pose of the multiobject accurately and robustly in distributed embedded devices. The average frame rate calculated on the RZ/A2M can reach 28 fps, which is at least 37 times faster than that of other pose estimation methods.

scholarly journals Improve the Estimation of Monocular Vision 6-DOF Pose Based on the Fusion of Camera and Laser Rangefinder

2021 ◽  
Vol 13 (18) ◽  
pp. 3709
Author(s):  
Zifa Zhu ◽  
Yuebo Ma ◽  
Rujin Zhao ◽  
Enhai Liu ◽  
Sikang Zeng ◽  
...  
Keyword(s):  
Measurement Error ◽  
Pose Estimation ◽  
Measurement Accuracy ◽  
Monocular Vision ◽  
Experimental Results ◽  
Estimation Methods ◽  
Depth Information ◽  
Laser Rangefinder ◽  
Fusion Strategy ◽  
Vision Measurement

Monocular vision is one of the most commonly used noncontact six-degrees-of-freedom (6-DOF) pose estimation methods. However, the large translational DOF measurement error along the optical axis of the camera is one of its main weaknesses, which greatly limits the measurement accuracy of monocular vision measurement. In this paper, we propose a novel monocular camera and 1D laser rangefinder (LRF) fusion strategy to overcome this weakness and design a remote and ultra-high precision cooperative targets 6-DOF pose estimation sensor. Our approach consists of two modules: (1) a feature fusion module that precisely fuses the initial pose estimated from the camera and the depth information obtained by the LRF. (2) An optimization module that optimizes pose and system parameters. The performance of our proposed 6-DOF pose estimation method is validated using simulations and real-world experiments. The experimental results show that our fusion strategy can accurately integrate the information of the camera and the LRF. Further optimization carried out on this basis effectively reduces the measurement error of monocular vision 6-DOF pose measurement. The experimental results obtained from a prototype show that its translational and rotational DOF measurement accuracy can reach up to 0.02 mm and 15″, respectively, at a distance of 10 m.

scholarly journals A survey on joint object detection and pose estimation using monocular vision

2019 ◽  
Vol 277 ◽  
pp. 02029
Author(s):  
Aniruddha V Patil ◽  
Pankaj Rabha
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Pose Estimation ◽  
Monocular Vision ◽  
Estimation Methods ◽  
Probabilistic Networks ◽  
Hybrid Approaches ◽  
Genetic Matching ◽  
Multi Stage ◽  
Traditional Approaches

In this survey we present a complete landscape of joint object detection and pose estimation methods that use monocular vision. Descriptions of traditional approaches that involve descriptors or models and various estimation methods have been provided. These descriptors or models include chordiograms, shape-aware deformable parts model, bag of boundaries, distance transform templates, natural 3D markers and facet features whereas the estimation methods include iterative clustering estimation, probabilistic networks and iterative genetic matching. Hybrid approaches that use handcrafted feature extraction followed by estimation by deep learning methods have been outlined. We have investigated and compared, wherever possible, pure deep learning based approaches (single stage and multi stage) for this problem. Comprehensive details of the various accuracy measures and metrics have been illustrated. For the purpose of giving a clear overview, the characteristics of relevant datasets are discussed. The trends that prevailed from the infancy of this problem until now have also been highlighted.

scholarly journals QR Code-based Learning Development: Accessing Math Game for Children Learning Enhancement

2019 ◽  
Vol 13 (11) ◽  
pp. 111 ◽  
Author(s):  
Widyasari Widyasari ◽  
Hadi Sutopo ◽  
Murniati Agustian
Keyword(s):  
Elementary School ◽  
Field Test ◽  
Mathematics Learning ◽  
Qr Code ◽  
Qr Codes ◽  
School Students ◽  
Learning Enhancement ◽  
Learning Mathematics ◽  
Learning Development ◽  
Math Game

Mathematics in elementary school is difficult to understand, boring, formal, theoretical, and book-based learning, which makes students tired of listening and paying attention. The purpose of this study is to create a learning prototype based on QR codes, especially mathematics learning in elementary schools. Using the QR code, students can access math games related to the course. This learning model could encourage students to learn mathematics. The research included seven steps in research and development named after Borg & Gall, such as need assessment, plan, early product development, first test, revise early product, field test and revise product. The object of the research is QR code-based learning, and the respondents are elementary school students and teachers. After analyzing data in the first and field test, researchers found the result. QR code-based learning could support children for learning mathematics.

scholarly journals ART-UP: A Novel Method for Generating Scanning-Robust Aesthetic QR Codes

2021 ◽  
Vol 17 (1) ◽  
pp. 1-23
Author(s):  
Mingliang Xu ◽  
Qingfeng Li ◽  
Jianwei Niu ◽  
Hao Su ◽  
Xiting Liu ◽  
...  
Keyword(s):  
State Of The Art ◽  
Visual Quality ◽  
Qr Code ◽  
Quick Response ◽  
Estimation Model ◽  
Qr Codes ◽  
Excellent Performance ◽  
Novel Method ◽  
Coarse To Fine

Quick response (QR) codes are usually scanned in different environments, so they must be robust to variations in illumination, scale, coverage, and camera angles. Aesthetic QR codes improve the visual quality, but subtle changes in their appearance may cause scanning failure. In this article, a new method to generate scanning-robust aesthetic QR codes is proposed, which is based on a module-based scanning probability estimation model that can effectively balance the tradeoff between visual quality and scanning robustness. Our method locally adjusts the luminance of each module by estimating the probability of successful sampling. The approach adopts the hierarchical, coarse-to-fine strategy to enhance the visual quality of aesthetic QR codes, which sequentially generate the following three codes: a binary aesthetic QR code, a grayscale aesthetic QR code, and the final color aesthetic QR code. Our approach also can be used to create QR codes with different visual styles by adjusting some initialization parameters. User surveys and decoding experiments were adopted for evaluating our method compared with state-of-the-art algorithms, which indicates that the proposed approach has excellent performance in terms of both visual quality and scanning robustness.

scholarly journals Surgical navigation with QR codes

2016 ◽  
Vol 2 (1) ◽  
pp. 355-358
Author(s):  
Manuel Katanacho ◽  
Wladimir De la Cadena ◽  
Sebastian Engel
Keyword(s):  
Surgical Navigation ◽  
Video Camera ◽  
Surgical Instruments ◽  
Qr Code ◽  
Qr Codes ◽  
Measurement Systems

AbstractThe presented work is an alternative to established measurement systems in surgical navigation. The system is based on camera based tracking of QR code markers. The application uses a single video camera, integrated in a surgical lamp, that captures the QR markers attached to surgical instruments and to the patient.

Training‐based head pose estimation under monocular vision

2016 ◽  
Vol 10 (8) ◽  
pp. 798-805 ◽  
Author(s):  
Zhizhi Guo ◽  
Qianxiang Zhou ◽  
Zhongqi Liu ◽  
Chunhui Liu
Keyword(s):  
Pose Estimation ◽  
Monocular Vision ◽  
Head Pose Estimation ◽  
Head Pose

scholarly journals Detection of Forgery and Fabrication in Passports and Visas using Cryptography and QR Codes

2021 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Cheman Shaik
Keyword(s):  
Mobile App ◽  
Public Key ◽  
Qr Code ◽  
Clear Indication ◽  
Qr Codes ◽  
The Public ◽  
Private Key ◽  
The World ◽  
Cryptographic Key ◽  
Google Play

In this paper, we present a novel solution to detect forgery and fabrication in passports and visas using cryptography and QR codes. The solution requires that the passport and visa issuing authorities obtain a cryptographic key pair and publish their public key on their website. Further they are required to encrypt the passport or visa information with their private key, encode the ciphertext in a QR code and print it on the passport or visa they issue to the applicant. The issuing authorities are also required to create a mobile or desktop QR code scanning app and place it for download on their website or Google Play Store and iPhone App Store. Any individual or immigration uthority that needs to check the passport or visa for forgery and fabrication can scan its QR code, which will decrypt the ciphertext encoded in the QR code using the public key stored in the app memory and displays the passport or visa information on the app screen. The details on the app screen can be compared with the actual details printed on the passport or visa. Any mismatch between the two is a clear indication of forgery or fabrication. Discussed the need for a universal desktop and mobile app that can be used by immigration authorities and consulates all over the world to enable fast checking of passports and visas at ports of entry for forgery and fabrication

scholarly journals Implementation for Quick Response Code

2019 ◽  
pp. 249-252
Author(s):  
K. Ravikumar ◽  
R. Geetha
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Teaching And Learning ◽  
Qr Code ◽  
Quick Response ◽  
Qr Codes ◽  
Response Code ◽  
Quick Response Code ◽  
The People ◽  
Identity Card

Quick Response (QR) codes are versatile. a chunk of long trilingual text, a connected URL, an automatic SMS message, an identity card or simply regarding any data is embedded into the two-dimensional barcode. as well as moderate equipped mobile devices, QR Codes will connect the users to the data quickly and simply. The operations to retrieve or store QR codes are unbelievably easy and fast, and with mobile devices, build them the best academic tools for teaching and learning. QR codes are all over and most of the people have mobile phones equipped with QR code readers. though QR codes existed for over fifteen years, there arent such a lot of analysis applications during this space.

scholarly journals Animated Two-Dimensional Barcode Generation Using Optimization Algorithms – Redesign of Formulation, Operator, and Quality Evaluation

2009 ◽  
Vol 13 (3) ◽  
pp. 245-254 ◽  
Author(s):  
Satoshi Ono ◽  
◽  
Kensuke Morinaga ◽  
Shigeru Nakayama
Keyword(s):  
Code Generation ◽  
Optimization Problem ◽  
Quality Evaluation ◽  
Qr Code ◽  
Two Dimensional ◽  
Quick Response ◽  
Qr Codes ◽  
Running Head ◽  
Generation Problem ◽  
Font Color

To improve on our previously proposed but problem-plagued innovation for generating animated and illustrated Quick Response (QR) codes, this paper proposes a method which formulates the animated QR code generation problem as an optimization problem rather than as a set of still QR code decoration problems. The proposed method also uses optimization operators designed for this problem and quality evaluation to maintain natural, smooth movement. Experiments demonstrate that the proposed method can generate animated QR codes involve a maximum of eight illustrations moving inside the code which maintaining decoding feasibility and smooth illustration movement.<FONT color="red" size="3">Erratum<br /></FONT> <FONT color="red" size="2">Due to a wrong manipulation during the correction of the proofs of the above paper, the running head title (short title) was incorrect. The correct running head title should have read as "Animated Two–Dimensional Barcode Generation."</FONT>

scholarly journals Sistem Reservasi Jadwal Jasa Medis Fasilitas Kesehatan Kelas Satu Menggunakan QR Code Berbasis Android

CHIPSET ◽  
2020 ◽  
Vol 1 (01) ◽  
pp. 1-4
Author(s):  
Mohammad Hafiz Hersyah ◽  
Ririn Putri Anedya
Keyword(s):  
Health Service ◽  
Success Rate ◽  
Health Facility ◽  
Qr Code ◽  
Android Application ◽  
Qr Codes ◽  
Lighting Conditions ◽  
Data Processor ◽  
Reservation System ◽  
The Voice

This research aims to establish a reservation system or reservation schedule for health services in the health facility class one. This system uses qr code technology to identify health service schedule orders made by users. This system consists of a laptop webcam that functions as a device for reading data in QR codes, Arduino Uno microcontroller as a data processor for reading QR code results, an MP3 player module as a device for storing sound output, speakers functioning as sound output devices for reading QR codes and Android application as a system interface for ordering health service schedules in health facility class one and accessing databases. Ordering a health service schedule starts with the selection of the service schedule by the user on the android application, then the user will get a qr code as proof of the order made to identify the sequence that will later be read by the webcam laptop and the results processed by Arduino followed by the voice output from the speaker. This study shows the success rate of the system in making online schedule bookings by 100%. In the process of identifying the QR code using a webcam with bright lighting conditions it has a 100% success rate and with a reading range of 11-20 cm a 90% success rate is obtained. In testing, the sound output from the speakers obtained a success rate of 100%.

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