3D Objects Recognition Using Artificial Neural Networks

Correa, Diogo Santos Ortiz; Osório, Fernando Santos

doi:10.1109/clei.2018.00042

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Current software provides the point cloud with not only precise geometric characteristics (x,y,z) that can infer with certain precision the location in 3D space, they also provide certain attributes that have to do with chromatic aspects (Xue et al 2020), RGB colours, and their intensity can be a classifying element through artificial intelligence technologies (Santos Ortiz Correa et al 2018).…”

Section: Monitoringmentioning

confidence: 99%

Integration of Dynamic Information on Energy Parameters in Hbim Models

Moyano

Fernández-Alconchel

Nieto-Julián

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The conservation of cultural heritage can be affected by different changes in temperature and humidity within architectural spaces, so energy performance and interior microclimate of historic buildings require adaptation to new maintenance and prevention studies. The search for these new investigations brings cultural heritage closer to new digital technologies such as Historic Building Information Modelling (HBIM). In this work, a new interdisciplinary methodology is developed between energy operators and BIM operators, so that a new framework is created to monitor energy parameters through intelligent sensors that measure temperature and humidity in the fully interoperable and semantically enriched 3D model itself. The study's commitment involves solving the interoperability workflow between sensors and the BIM platform, taking advantage of this new interconnectivity. For the study, a methodology applied to the Church of the Sacred Heart of Jesus in Seville was carried out, where from a survey through a georeferenced terrestrial laser scanner with topographic equipment, it is modelled from the point cloud, incorporating the sensors in the HBIM Project. In the workflow, it has been shown that the integration of microclimate data inside churches can be managed directly in the environment of an HBIM-based model and transfer a reverse flow in the process.

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Section: Monitoringmentioning

confidence: 99%

Integration of Dynamic Information on Energy Parameters in Hbim Models

Moyano

Fernández-Alconchel

Nieto-Julián

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Using Mobile Augmented Reality to Improve Attention in Adults with Autism Spectrum Disorder

Wang

Zhang

Cho

2020

Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

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Adults on the autism spectrum commonly experience impairments in attention management that hinder many other cognitive functions necessary to appreciate relationships between sensory stimuli. As autistic individuals generally identify as visual learners, the effective use of visual aids can be critical in developing life skills. In this brief paper, we propose a Mobile Augmented Reality for Attention (MARA) application which addresses a lack of supportive and simple costeffective solutions for autistic adults to train attention management skills. We present the proposed design, configuration and implementation. Lastly, we discuss future directions for research.

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3D Objects Recognition Using Artificial Neural Networks

Cited by 2 publications

References 16 publications

Integration of Dynamic Information on Energy Parameters in Hbim Models

Integration of Dynamic Information on Energy Parameters in Hbim Models

Using Mobile Augmented Reality to Improve Attention in Adults with Autism Spectrum Disorder

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