- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) - Shah Alam (2018.7.11-2018.7.12)] 2018 International Conference on Smart Computing and Electronic Enterprise (ICSCEE) - Accurate Disparity Map Estimation Based on Edge-preserving Filter
摘要： This paper proposes a new algorithm to estimate a disparity map. This map contains depth information from stereo matching process. Generally, this process is sensitive to low texture areas and high noise on images with high different brightness and contrast. To get over these problems, the proposed algorithm utilizes the RGB channels at the matching stage and edge-preserving filter at the second and final stage. The filter is known as Guided Filter (GF). The GF kernel well-recovered low texture areas which is able to reduce noise and sharpen the images. Additionally, GF is strong against the distortions due to high brightness and contrast. The propose algorithm produces accurate results on the disparity map for the low textured regions. The proposed work in this paper produces accurate results and performs much better compared to some established algorithms based on the quantitative and qualitative measurements using standard stereo benchmarking evaluation from the Middlebury.
关键词： stereo matching,sum of absolute differences,computer vision,disparity map,guided filter
更新于2025-09-19 17:15:36
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[IEEE 2018 Congreso Internacional de Innovacio?n y Tendencias en Ingenieri?a (CONIITI) [International Congress of Innovation and Trends in Engineering] - Bogota (2018.10.3-2018.10.5)] 2018 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI) - A Computer Vision Approach Based on the Retinal Nerve Fiber Thickness Analysis to Estimate the Risk of Suffering Glaucoma
摘要： According to estimations of the World Health Organization (WHO), approximately 4.5 million persons will become blind due to the primary Glaucoma. For these reasons, in this paper, we present a simple approach to estimate the risk of suffering from glaucoma that presents a patient. Our proposal relies on the automatic analysis of Optical Coherence Tomography (OCT) images through the calculus of nerve fiber and ganglionary vessels areas. To this aim, our system separates the two areas mentioned before through computer vision techniques and the Newton Interpolation Method. Once the two areas are separated, the system determines the size of each of them. This proposal was validated through an experiment carried out with OCT 30 images (per eye). The results are encouraging, and the suggestions provided by the system match with medical diagnosis.
关键词： Glaucoma,Optical Coherence Tomography,Computer vision,Retinal nerve fiber,Newton interpolation polynomial
更新于2025-09-19 17:15:36
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[Studies in Computational Intelligence] Computer Vision Methods for Fast Image Classi?cation and Retrieval Volume 821 ||
摘要： Computer vision and image retrieval and classification are a vital set of methods used in various engineering, scientific and business applications. In order to describe an image, visual features must be detected and described. Usually, the description is in the form of vectors. The book presents methods for accelerating image retrieval and classification in large datasets. Some of the methods (Chap. 5) are designed to work directly in relational database management systems.
关键词： computer vision,feature detection,image classification,image retrieval,relational databases
更新于2025-09-19 17:15:36
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A flexible calibration method for the intrinsic and mechanical parameters of panoramic line-scan cameras
摘要： Panoramic line-scan cameras provide high definition images with a quasi uniform distribution of the sensing elements. Unfortunately, calibration of such devices with classic techniques is not possible making their use, in computer vision field, not straightforward. We propose a flexible and convenient calibration method for the computation of intrinsic and mechanism parameters of such systems by using images of a simple calibration pattern. Unlike existing approaches, the proposed method considers a full geometrical model and does not make any unattainable assumption such as concentricity of images, a priori knowledge about camera poses or coincidence of the rotation axis with the optical center. Using few images taken with free poses, the calibration is performed in two steps. First, the intrinsic parameters are computed using sets of 2D/3D point correspondences that are generated automatically by exploiting the structure of the calibration rig. Then, thanks to the parameterization of the projection of a 3D straight line, the mechanical parameters are computed using points at infinity. For each step, closed form solutions and iterative refinement techniques are presented. The proposed approach is validated with both synthetic and real data collected by our prototype.
关键词： Mechanical parameters,Computer vision,Intrinsic parameters,Panoramic camera,Calibration,Line-scan camera
更新于2025-09-19 17:15:36
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Self-assembly of coordination polymers on plasmonic surfaces for computer vision decodable, unclonable and colorful security labels
摘要： Incorporating security labels with physical unclonable functions (PUFs) into products is considered as the most effective anti-counterfeiting measure. Here we reported a PUF-based security label composed of random colorful patterns. The security label was fabricated through self-assembly of coordination polymers – a cupric bromide complex of pyrazine 1,4-dioxide – on lithographically defined plasmonic surfaces. The coordination polymer exhibits excitation wavelength dependent fluorescence fingerprints, which enables encoding spectral information in the polymer. The fluorescence peaks of each spectrum can be easily converted to a unique anti-counterfeiting barcode. The developed security label also carries 2D graphical information, which can be visualized under bright-field, dark-field and fluorescence multifunctional microscopy. It is multi-colored with high contrast under the bright/dark-field modes and single color under fluorescence mode. The multicolors originate from polymer-thickness dependent optical interference. The encryption with colors on a 50 lm square produces a minimum of 3739 PUF codes for the realized authentication system. Moreover, we developed a convenient and reliable authentication strategy based on the computer vision technique to verify the colorful PUF patterns with different definition, rotation angles, brightness, magnification and a mixture of these factors. A high correct validation rate of 100% is achieved using a match threshold of 0.3.
关键词： anti-counterfeiting,coordination polymers,plasmonic surfaces,security labels,physical unclonable functions,computer vision
更新于2025-09-12 10:27:22
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[IEEE 2019 7th International Conference on Smart Computing & Communications (ICSCC) - Sarawak, Malaysia, Malaysia (2019.6.28-2019.6.30)] 2019 7th International Conference on Smart Computing & Communications (ICSCC) - On Self Driving Cars: An LED Time of Flight (ToF) based Detection and Ranging using various Unipolar Optical CDMA Codes
摘要： The dramatic surge in the development of autonomous vehicles has generated a need for, among others, improving detection accuracy. Various technologies and techniques have been proposed and adopted for autonomous vehicles, such as computer vision, in conjunction with machine learning and deep learning – neural network. Despite many attempts to improve the accuracy of detection and ranging, the computational load in training the neural network due to the requirement of massive amount of data had increased to a significant extent, along with the cost of operation. Light Detection and Ranging (LiDAR) systems are a new approach to improve the detection and ranging accuracy. However, LED Detection and Ranging (LEDDAR) based systems have not been explored so far. Herein, we present an analysis of the method of detection and ranging using LED and determine its performance for different number of users using Unipolar Optical Code Division Multiple Access (OCDMA) Codes. This was done using probability of error vs. Signal – to – Noise Ratio (SNR) and Distance (in m) using misdetection and false alarm analysis for a given transmitted power of LED obeying the current standards. The method of LED based beamforming by deploying multiple LED’s in an array is proposed to improve the detection and ranging accuracy. Finally, the results show that OCDMA based OOC codes show a low probability of error for a given SNR and Distance and outperformed other OCDMA techniques such as prime codes and hence indicate that OOC codes will be an optimal choice that can be coded in LED’s for the use in self driving cars.
关键词： Computer Vision,Neural Network,Misdetection,Signal – to – Noise Ratio,Beamforming,Probability of Error,False Alarm,Self – Driving Cars,Field – of - View
更新于2025-09-12 10:27:22
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Comparison of laser backscattering imaging and computer vision system for grading of seedless watermelons
摘要： The potential of the computer vision system and backscattering imaging with a laser diode emitting at 658 nm was investigated for evaluating color changes and grading of seedless watermelons. A total of 80 seedless watermelons were selected for predicting color changes of the fruit. The watermelons were stored at 10 °C (85% RH) for 21 days with four storage days interval; Day 0, Day 8, Day 15, and Day 21. Image segmentation process and partial least squares (PLS) regression were conducted for both Red, Green, and Blue (RGB) and backscattering image analysis. Prediction models for color changes were developed based on the RGB and backscattering parameters extracted from the watermelon images. Linear discriminant analysis (LDA) was used to compare the classification models of the computer vision system and backscattering imaging based on the storage days. The results showed that the backscattering imaging classified different storage days better than computer vision system, with the classification accuracy higher than 94%. In conclusion, this work has demonstrated the ability of backscattering imaging coupled with the laser diode as a non-destructive method for color evaluation and grading of seedless watermelons.
关键词： Computer vision,Grading,Watermelons,Backscattering imaging,Color evaluation
更新于2025-09-11 14:15:04
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[IEEE 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Chongqing (2018.6.27-2018.6.29)] 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Methods for Long-Distance Crack Location and Detection of Concrete Bridge Structures
摘要： In order to improve the efficiency of crack detection of concrete bridge structures, a new method based on computer vision technology and coordinate mapping is proposed. In this research, this crack measurement system is integrated mainly with a high magnification image acquisition system, a two-dimensional electric cradle head device and a laser ranging system. It has a set of observing coordinate system. Firstly, the marking points’ image coordinates are mapped to the observation coordinates. Secondly, according to the marking points’ observation coordinates, the measured crack’s coordinates are mapped to a same world coordinates so as to realize the spatial location of the measured cracks regardless of different test cycles or instrument’s setup positions, which is a great convenience for the review detection of surface cracks of concrete bridge structures. The experiments show that this method is efficient and convenient. It can automatically locate the measured cracks within 16 s, and the deviation is not more than ± 0.07 °. At a distance of 100 m, the measurement accuracy of crack width is better than ± 0.12 mm.
关键词： long-distance,crack location,computer vision,spatial coordinate mapping,crack detection,concrete bridge structures
更新于2025-09-11 14:15:04
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Pictorial AR Tag with Hidden Multi-Level Bar-Code and Its Potential Applications
摘要： For decades, researchers have been trying to create intuitive virtual environments by blending reality and virtual reality, thus enabling general users to interact with the digital domain as easily as with the real world. The result is “augmented reality” (AR). AR seamlessly superimposes virtual objects on to a real environment in three dimensions (3D) and in real time. One of the most important parts that helps close the gap between virtuality and reality is the marker used in the AR system. While pictorial marker and bar-code marker are the two most commonly used marker types in the market, they have some disadvantages in visual and processing performance. In this paper, we present a novelty method that combines the bar-code with the original feature of a colour picture (e.g., photos, trading cards, advertisement’s ?gure). Our method decorates on top of the original pictorial images additional features with a single stereogram image that optically conceals a multi-level (3D) bar-code. Thus, it has a larger capability of storing data compared to the general 1D barcode. This new type of marker has the potential of addressing the issues that the current types of marker are facing. It not only keeps the original information of the picture but also contains encoded numeric information. In our limited evaluation, this pictorial bar-code shows a relatively robust performance under various conditions and scaling; thus, it provides a promising AR approach to be used in many applications such as trading card games, educations, and advertisements.
关键词： augmented reality,image processing,computer vision
更新于2025-09-10 09:29:36
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Camera Calibration: An Overview of Concept, Methods and Equations
摘要： Camera calibration is favored as an important issue in photogrammetry and computer vision literatures. The importance of this issue can be due to two reasons: firstly, every recently camera should be calibrated before being used to correct its lens distortion and interior orientation elements. In addition, it is a main preprocessing step at many vision applications. This paper aims to provide an overview of concept, objective, methods and mathematical equations for camera calibration.
关键词： Self–Calibration,Photogrammetry,Interior Orientation Elements,Camera Calibration,Lens Distortion,Exterior Orientation Elements,Computer Vision
更新于2025-09-10 09:29:36