Search results for " recognition"
showing 10 items of 3220 documents
Mass data gathering and surveillance: the fight against facial recognition technology in the globalized world
2020
The growing use of facial recognition technologies has put them under the regulatory spotlight all around the world. The EU considers to regulate facial regulation technologies as a part of initiative of creating ethical and legal framework for trustworthy artificial intelligence. These technologies are attracting attention of the EU data protection authorities, e.g. in Sweden and the UK. In May, San Francisco was the first city in the US to ban police and other government agencies from using facial recognition technology, soon followed by other US cities. The paper aims to analyze the impact of facial recognition technology on the fundamental rights and values as well as the development of…
Education and the Theory of Recognition: interview with Axel Honneth
2017
Entrevista a Axel Honneth.
ΔP as a measure of collocation strength
2018
AbstractThis paper explores the proposed benefits of ΔP (delta P) as a measure of collocation strength. Its focus is on contrasting ΔP with other, more commonly used, association measures, particularly transitional probabilities, but also mutual information and Lexical Gravity G. To this end, first the strong correlation between ΔP and transitional probability is illustrated with the help of two exemplary corpora. This is followed by an analysis of hesitation placement in spontaneous spoken English, based on the assumption that hesitations will not be placed within strong collocations. Results show that, despite their strong similarity, in some contexts ΔP is more predictive of hesitation p…
Online Intercultural Exchanges Through Digital Storytelling
2017
This article focuses on the affordances of a digital storytelling project in developing students' language, digital and other skills: learning and innovation, creativity, critical thinking, problem solving, team working, and life and career skills. The project was undertaken by university English for Specific Purposes students and was conducted within an Online Intercultural Exchange between the Cyprus University of Technology and the University of Valencia. Its design was based on a Project-Based Learning (PBL) methodology. It incorporated active learning and multimodal resources and capabilities. The need for transforming language teaching pedagogies was borne in mind, as it is necessary …
Eye Movement Analyses for Obtaining Readability Formula for Latvian Texts for Primary School
2017
To determine the difficulty of text, readability formulas can be used. The research was made to find readability formula for Latvian. Readability formulas for English were used as guidelines. The novelty was the use of eye movement tracking during reading to obtain quantitative data that lead to readability formula. Eye fixation durations were gathered during readability measurements. Average values of fixation durations were calculated to characterize texts and readers. 15 texts with various difficulty levels were composed for exposing them to readers. More than 300 children of grades 1 - 4 were participating in measurements. Average values of eye fixation durations of readers from a certa…
Orientation-invariance of individual differences in three face processing tasks
2019
Numerous studies have reported impairments in perception and recognition, and, particularly, in part-integration of faces following picture-plane inversion. Whether these findings support the notion that inversion changes face processing qualitatively remains a topic of debate. To examine whether associations and dissociations of the human face processing ability depend on stimulus orientation, we measured face recognition with the Cambridge Face Memory Test (CFMT), along with experimental tests of face perception and selective attention to faces and non-face objects in a sample of 314 participants. Results showed strong inversion effects for all face-related tasks, and modest ones for non-…
Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model
2022
Funding: This study is a part of the “Equality in suburban physical activity environments, YLLI” research project (in Finnish: Yhdenvertainen liikunnallinen lähiö, YLLI). The project is being financed by the research program about suburban in Finland “Lähiöohjelma 2020-2022” coordinated by the Ministry of Environment (grant recipient: Dr. Petteri Muukkonen). Sport and exercise contribute to health and well-being in cities. While previous research has mainly focused on activities at specific locations such as sport facilities, “informal sport” that occur at arbitrary locations across the city have been largely neglected. Such activities are more challenging to observe, but this challenge may…
Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis
2021
International audience; Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. Computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, co…
High Quality Reconstruction of Dynamic Objects using 2D-3D Camera Fusion
2017
International audience; In this paper, we propose a complete pipeline for high quality reconstruction of dynamic objects using 2D-3D camera setup attached to a moving vehicle. Starting from the segmented motion trajectories of individual objects, we compute their precise motion parameters, register multiple sparse point clouds to increase the density, and develop a smooth and textured surface from the dense (but scattered) point cloud. The success of our method relies on the proposed optimization framework for accurate motion estimation between two sparse point clouds. Our formulation for fusing it closest-point and it consensus based motion estimations, respectively in the absence and pres…
A coarse to fine 3D acquisition system
2015
International audience; The 3D chain (acquisition-processing-compression) is , most of the time , sequenced into several steps. Such approaches result into an one-dense acquisition of 3D points. In large scope of applications , the first processing step consists in simplifying the data. In this paper , we propose a coarse to fine acquisition system which permits to obtain simplified data directly from the acquisition. By calculating some complementary information from 2D images , such as 3D normals , multiple homogeneous regions will be segmented and affected to a given primitive class. Contrary to other studies , the whole process is not based on a mesh. The obtained model is simplified di…