A Robust and Real-Time Face Anti-spoofing Method Based on Texture Feature Analysis

Khurshid, Aasim; Tamayo, Sergio Cleger; Fernandes, Everlandio; Gadelha, Mikhail R.; Teófilo, Mauro

doi:10.1007/978-3-030-30033-3_37

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…Moreover, processing time for the whole dataset is considered because it depicts processing time in relation to the theme elements rather than the whole screen (frame), which may contain a varied number of elements and hence does not give a consistent processing time perspective. APCER, NPCER, and ACER are the classiciation error measures and can be computed as [21]:…”

Section: Experimental Evaluation and Discussionmentioning

confidence: 99%

An Automatic Contrast Validation Approach for Smartphone Themes

Khurshid¹,

Ortiz-Gil²,

Guimarães³

et al. 2020

Anais Estendidos Da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)

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The smartphone themes submitted to the themestore are first evaluated by human experts to ensure a pleasant visual experience1. One of the main challenges in smartphone themes evaluation is to validate the contrast of the elements of the theme. Contrast refers to the difference in visual properties that makes an object distinguishable from other objects and the background. In this work, we propose an automatic themes evaluation approach that validates the contrast of Android smartphone themes among regular and non-regular at the element level. To localize the contrast affected regions, the proposed themes evaluation is divided into two phases: 1) Element extraction; and 2) Contrast evaluation. For element extraction, a customized framework is created that utilizes native Android frameworks. Following, these elements are analyzed by using a specifically designed Convolutional Neural Network (CNN) for smartphone theme elements contrast evaluation. The proposed approach is evaluated on two databases which are composed of using the real Android themes. Experiments suggest that our proposed contrast-detection network can obtain a better performance than the known state-of-the-art classification methods, in smartphone themes evaluation, based on evaluation measures like Accuracy, F1 score, processing time and others.

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Section: Experimental Evaluation and Discussionmentioning

confidence: 99%

An Automatic Contrast Validation Approach for Smartphone Themes

Khurshid¹,

Ortiz-Gil²,

Guimarães³

et al. 2020

Anais Estendidos Da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020)

Self Cite

View full text Add to dashboard Cite

show abstract

“…A robotic tool path can be generated by either a time intensive manual measurement of the object, expensive 3D scanning of the object [40], or the process of photogrammetry, which is cheap and readily accessible. Photogrammetry methods offer its widespread applications contributing to achieving flexible autonomy in fields such as engineering, geology, health, safety and manufacturing [11,21,22,36,39,41]. It provides a cost-effective solution to acquire part geometries in the form of 3D models.…”

Section: Introductionmentioning

confidence: 99%

Vision guided robotic inspection for parts in manufacturing and remanufacturing industry

et al. 2020

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Environmental and commercial drivers are leading to a circular economy, where systems and components are routinely recycled or remanufactured. Unlike traditional manufacturing, where components typically have a high degree of tolerance, components in the remanufacturing process may have seen decades of wear, resulting in a wider variation of geometries. This makes it difficult to translate existing automation techniques to perform Non-Destructive Testing (NDT) for such components autonomously. The challenge of performing automated inspections, with off-line tool-paths developed from Computer Aided Design (CAD) models, typically arises from the fact that those paths do not have the required level of accuracy. Beside the fact that CAD models are less available for old parts, these parts often differ from their respective virtual models. This paper considers flexible automation by combining part geometry reconstruction with ultrasonic tool-path generation, to perform Ultrasonic NDT. This paper presents an approach to perform custom vision-guided ultrasonic inspection of components, which is achieved through integrating an automated vision system and a purposely developed graphic user interface with a robotic work-cell. The vision system, based on structure from motion, allows creating 3D models of the parts. Also, this work compares four different tool-paths for optimum image capture. The resulting optimum 3D models are used in a virtual twin environment of the robotic inspection cell, to enable the user to select any points of interest for ultrasonic inspection. This removes the need of offline robot path-planning and part orientation for assessing specific locations on a part, which is typically a very time-consuming phase.

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An Experimental Analysis of Face Anti-spoofing Strategies for Real Time Applications

Khurshid¹,

Grunitzki²

2021

Communications in Computer and Information Science

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A Robust and Real-Time Face Anti-spoofing Method Based on Texture Feature Analysis

Cited by 8 publications

References 17 publications

An Automatic Contrast Validation Approach for Smartphone Themes

An Automatic Contrast Validation Approach for Smartphone Themes

Vision guided robotic inspection for parts in manufacturing and remanufacturing industry

An Experimental Analysis of Face Anti-spoofing Strategies for Real Time Applications

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