Image Recognition Model over Augmented Reality Based on Convolutional Neural Networks Through Color-Space Segmentation

Rodríguez, Andrés Ovidio Restrepo; Mateus, Daniel; Gaona-García, Paulo Alonso; Herrera‐Viedma, Enrique

doi:10.1007/978-3-030-17795-9_23

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…As technology develops, computer vision can further classify physical objects to identify and interpret what they are (Restrepo-Rodr ıguez et al 2019). Accordingly, by "seeing with the customer's eye," AR's real-time context mapping functionality informs an advertiser that, for example, there is a shelf at a specific location in the customer's living room.…”

Section: Image Classificationmentioning

confidence: 99%

Seeing with the Customer’s Eye: Exploring the Challenges and Opportunities of AR Advertising

Ruyter

Heller

Hilken

et al. 2020

Journal of Advertising

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Section: Image Classificationmentioning

confidence: 99%

Seeing with the Customer’s Eye: Exploring the Challenges and Opportunities of AR Advertising

Ruyter

Heller

Hilken

et al. 2020

Journal of Advertising

View full text Add to dashboard Cite

show abstract

Analysis of architectural decoration esthetics based on VR technology and machine vision

Gong

2021

Soft Comput

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RETRACTED ARTICLE: Research on film animation design based on inertial motion capture algorithm

Lin¹

2021

Soft Comput

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Image Recognition Model over Augmented Reality Based on Convolutional Neural Networks Through Color-Space Segmentation

Cited by 4 publications

References 11 publications

Seeing with the Customer’s Eye: Exploring the Challenges and Opportunities of AR Advertising

Seeing with the Customer’s Eye: Exploring the Challenges and Opportunities of AR Advertising

Analysis of architectural decoration esthetics based on VR technology and machine vision

RETRACTED ARTICLE: Research on film animation design based on inertial motion capture algorithm

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