scholarly journals Sub-Pixel Chessboard Corner Localization for Camera Calibration and Pose Estimation

2018 ◽  
Vol 8 (11) ◽  
pp. 2118 ◽  
Author(s):  
Tianlong Yang ◽  
Qiancheng Zhao ◽  
Xian Wang ◽  
Quan Zhou
Keyword(s):  
Camera Calibration ◽  
Pose Estimation ◽  
High Performance ◽  
Vision System ◽  
Low Cost ◽  
Input Image ◽  
Point Problem ◽  
Novel Approach ◽  
Site Use ◽  
Common Vision

This work describes a novel approach to localize sub-pixel chessboard corners for camera calibration and pose estimation. An ideally continuous chessboard corner model is established, as a function of corner coordinates, rotation and shear angles, gain and offset of grayscale, and blurring strength. The ideal model is evaluated by a low-cost and high-similarity approximation for sub-pixel localization, and by performing a nonlinear fit to input image. A self-checking technique is also proposed by investigating qualities of the model fits, for ensuring the reliability of addressing perspective-n-point problem. The proposed method is verified by experiments, and results show that it can share a high performance. It is also implemented and examined in a common vision system, which demonstrates that it is suitable for on-site use.

Design of a Model-Based Robot Vision VLSI Processor

1994 ◽  
Vol 6 (2) ◽  
pp. 131-136
Author(s):  
Yoshifumi Sasaki ◽  
◽  
Michitaka Kameyama
Keyword(s):  
Object Recognition ◽  
High Performance ◽  
Vision System ◽  
Robot Vision ◽  
Parallel Architecture ◽  
Computation Time ◽  
Input Image ◽  
Position Estimation ◽  
Computational Time ◽  
Model Matching

For intelligent robots, a robot vision system is usually required to perform three-dimensional (3-D) position estimation as well as object recognition at high speeds. In this paper, we propose an algorithm for 3-D object recognition and position estimation for the implementation of a VLSI processor The principle of the algorithm is based on model matching between an input image and models stored in memory. Because of enormous computation time, the development of a high-performance VLSI processor is essential. Highly parallel architecture is introduced in the VLSI processor to reduce the latency. As a result of highly parallel computing, the computational time is 10000 times faster than that of a 28.5 MIPS workstation.

A Forensic-as-a-Service Delivery Platform for Law Enforcement Agencies

2013 ◽  
pp. 313-330 ◽  
Author(s):  
Fabio Marturana ◽  
Simone Tacconi ◽  
Giuseppe F. Italiano
Keyword(s):  
Law Enforcement ◽  
Service Delivery ◽  
High Performance ◽  
Low Cost ◽  
Forensic Analysis ◽  
Design Guidelines ◽  
Functional Requirements ◽  
Law Enforcement Agencies ◽  
Novel Approach ◽  
Service Delivery Platform

With the global diffusion of cybercrime, the ever-growing market penetration of high-performance and low-cost personal digital devices, and the commercial success of cloud computing, the area of digital forensics is faced with various new challenges that must be taken seriously. In this chapter, the authors describe a novel approach to digital investigations based on the emerging “Forensics as a Service” (FaaS) model. This model attempts to optimize Law Enforcement Agency’s (LEA) forensic procedures, reduce complexity, and save operational costs. Inspired by previous work on distributed computing for forensic analysis, this chapter provides the reader with design guidelines of a FaaS platform for secure service delivery. The proposed FaaS platform should be able to support investigators and practitioners in their daily tasks (e.g. digital evidence examination, analysis, and reporting) once implemented by a cloud forensic provider or internally by a LEA. In this chapter, the authors also present the architecture components, interfaces, communication protocols, functional and non-functional requirements, as well as security specifications of the proposed framework in detail.

Gesture-World Environment Technology for Mobile Manipulation – Remote Control System of a Robot with Hand Pose Estimation –

2012 ◽  
Vol 24 (1) ◽  
pp. 180-190 ◽  
Author(s):  
Kiyoshi Hoshino ◽  
◽  
Takuya Kasahara ◽  
Motomasa Tomida ◽  
Takanobu Tanimoto ◽  
...  
Keyword(s):  
Remote Control ◽  
High Precision ◽  
Pose Estimation ◽  
High Speed ◽  
High Performance ◽  
Vision System ◽  
Hand Pose Estimation ◽  
Hand Region ◽  
Detailed Search ◽  
Hand Pose

The purpose of this paper is to propose a remotecontrolled robot system capable of accurate highspeed performance of the same operation strictly conforming to human operator movement without sensors or special control means. We specifically intend to implement high-precision high-speed 3D hand pose estimation enabling a remote-controlled robot to be operated using two cameras installed loosely orthogonally using one ordinary PC. The two cameras have their own database. Once sequential hand images are shot at high speed, the system starts selecting one database with bigger size of hand region in each recorded image. Coarse screening then proceeds based on proportional hand image information roughly corresponding to wrist rotation or thumb or finger extension. Finally, a detailed search is done for similarity among selected candidates. Experiments show that mean and standard deviation scores of errors in estimated angles at the proximal interphalangeal (PIP) index are 0.45 ± 14.57 and at the carpometacarpal (CM) thumb 4.7 ± 10.82, respectively, indicating it as a high-precision 3D hand pose estimation. Remote control of a robot with the proposed vision system shows high performance as well.

A Forensic-as-a-Service Delivery Platform for Law Enforcement Agencies

2015 ◽  
pp. 2288-2306
Author(s):  
Fabio Marturana ◽  
Simone Tacconi ◽  
Giuseppe F. Italiano
Keyword(s):  
Law Enforcement ◽  
Service Delivery ◽  
High Performance ◽  
Low Cost ◽  
Forensic Analysis ◽  
Design Guidelines ◽  
Functional Requirements ◽  
Law Enforcement Agencies ◽  
Novel Approach ◽  
Service Delivery Platform

With the global diffusion of cybercrime, the ever-growing market penetration of high-performance and low-cost personal digital devices, and the commercial success of cloud computing, the area of digital forensics is faced with various new challenges that must be taken seriously. In this chapter, the authors describe a novel approach to digital investigations based on the emerging “Forensics as a Service” (FaaS) model. This model attempts to optimize Law Enforcement Agency's (LEA) forensic procedures, reduce complexity, and save operational costs. Inspired by previous work on distributed computing for forensic analysis, this chapter provides the reader with design guidelines of a FaaS platform for secure service delivery. The proposed FaaS platform should be able to support investigators and practitioners in their daily tasks (e.g. digital evidence examination, analysis, and reporting) once implemented by a cloud forensic provider or internally by a LEA. In this chapter, the authors also present the architecture components, interfaces, communication protocols, functional and non-functional requirements, as well as security specifications of the proposed framework in detail.

Design Improvements and Design Methodology for the Gear Bearing Drive: A Compact, Powerful and Cost-Effective Robotic Actuator

2014 ◽  
Author(s):  
Elias Brassitos ◽  
Qingchao Kong ◽  
Constantinos Mavroidis ◽  
Brian Weinberg
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Planetary Gear ◽  
Cost Effective ◽  
Consumer Products ◽  
New Era ◽  
Planetary Gearbox ◽  
Novel Approach ◽  
Speed Up ◽  
Unique Approach

As modern robotic systems begin to permeate mass productions in consumer and healthcare products, the development of powerful cost-effective compact actuators represents a critical need to deliver commercially viable high performance robotic products. During the last years our team has developed a novel approach in actuator development which overcomes gearing packaging, efficiency and reliability problems of current actuators, paving the way for a new era of low-cost high-performance robotic products that are currently unattainable with existing commercial actuators. Our new actuator assembly, called the Gear Bearing Drive (GBD), uses three components comprising a brushless outrunner motor, two stage planetary gearbox, and novel rolling surfaces — all designed with overlapping functions and common features which interface together to drastically simplify and reduce the size and complexity of the actuator assembly. This unique approach allows embedding the motor within the planetary gearbox and further enables the actuator to operate without any traditional ball bearing, saving significant volume, cost, and manufacturing complexity. The low-cost gearbox combined with the high power output of brushless outrunner motors and typical high efficiencies of planetary gear arrangements results in compact, powerful and cost-effective robotic actuators with the potential to impact a number of industries ranging from consumer products to manufacturing and healthcare. In this paper we present the latest design improvements for the GBD so that we reduce friction and maximize efficiency. We also present a new design software for the GBD that has also been developed to reduce trial and error during the design phase and to speed up the production process.

Low-Cost, High-Performance Monocular Vision System for Air Bearing Table Attitude Determination

2014 ◽  
Vol 51 (1) ◽  
pp. 66-75 ◽  
Author(s):  
Yun-Hua Wu ◽  
Yang Gao ◽  
Jia-Wei Lin ◽  
Robin Raus ◽  
Shi-Jie Zhang ◽  
...  
Keyword(s):  
High Performance ◽  
Attitude Determination ◽  
Vision System ◽  
Low Cost ◽  
Monocular Vision ◽  
Air Bearing

scholarly journals A Novel Approach for Automatic Car Plate Detection and Recognition

2021 ◽  
Vol 5 (2) ◽  
pp. 1-9
Author(s):  
Fattah Alizadeh ◽  
Sazan Luqman
Keyword(s):  
Traffic Control ◽  
Automatic System ◽  
High Performance ◽  
Recognition System ◽  
Input Image ◽  
Novel Approach ◽  
Computer Based ◽  
The City ◽  
Processing Steps ◽  
Do So

The increasing number of cars inside cities creates problems in traffic control. This issue can be solved by implementing a computer-based automatic system known as the Automatic Car Plate Recognition System (ACPRS). The main purpose of the current paper is to propose an automatic system to detect, extract, segment, and recognize the car plate numbers in the Kurdistan Region of Iraq (KRI). To do so, a frontal image of cars is captured and used as an input of the system. After applying the required pre-processing steps, the SURF descriptor is utilized to detect and extract the car plate from the whole input image. After segmentation of the extracted plate, an efficient projection-based technique is being exploited to describe the available digits and the city name of the registered car plate. The system is evaluated over 200 sample images, which are taken under various testing conditions. The best accuracy of the proposed system, under the controlled condition, shows the high performance and accuracy of the system which is 94%.

Comparison of UV- and Derivative-Spectrophotometric and HPTLC UVDensitometric Methods for the Determination of Amrinone and Milrinone in Bulk Drugs

2020 ◽  
Vol 16 (3) ◽  
pp. 246-253
Author(s):  
Marcin Gackowski ◽  
Marcin Koba ◽  
Stefan Kruszewski
Keyword(s):  
Thin Layer ◽  
Thin Layer Chromatography ◽  
High Performance ◽  
Low Cost ◽  
Uv Spectra ◽  
Derivative Spectrophotometry ◽  
Therapeutic Monitoring ◽  
Bulk Drug ◽  
Layer Chromatography ◽  
Standard Solutions

Background: Spectrophotometry and thin layer chromatography have been commonly applied in pharmaceutical analysis for many years due to low cost, simplicity and short time of execution. Moreover, the latest modifications including automation of those methods have made them very effective and easy to perform, therefore, the new UV- and derivative spectrophotometry as well as high performance thin layer chromatography UV-densitometric (HPTLC) methods for the routine estimation of amrinone and milrinone in pharmaceutical formulation have been developed and compared in this work since European Pharmacopoeia 9.0 has yet incorporated in an analytical monograph a method for quantification of those compounds. Methods: For the first method the best conditions for quantification were achieved by measuring the lengths between two extrema (peak-to-peak amplitudes) 252 and 277 nm in UV spectra of standard solutions of amrinone and a signal at 288 nm of the first derivative spectra of standard solutions of milrinone. The linearity between D252-277 signal and concentration of amironone and 1D288 signal of milrinone in the same range of 5.0-25.0 μg ml/ml in DMSO:methanol (1:3 v/v) solutions presents the square correlation coefficient (r2) of 0,9997 and 0.9991, respectively. The second method was founded on HPTLC on silica plates, 1,4-dioxane:hexane (100:1.5) as a mobile phase and densitometric scanning at 252 nm for amrinone and at 271 nm for milrinone. Results: The assays were linear over the concentration range of 0,25-5.0 μg per spot (r2=0,9959) and 0,25-10.0 μg per spot (r2=0,9970) for amrinone and milrinone, respectively. The mean recoveries percentage were 99.81 and 100,34 for amrinone as well as 99,58 and 99.46 for milrinone, obtained with spectrophotometry and HPTLC, respectively. Conclusion: The comparison between two elaborated methods leads to the conclusion that UV and derivative spectrophotometry is more precise and gives better recovery, and that is why it should be applied for routine estimation of amrinone and milrinone in bulk drug, pharmaceutical forms and for therapeutic monitoring of the drug.

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