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A Binocular LVA Device based on Mixed Reality to Enhance Face Recognition

Abstract : Today’s visual enhancement systems for low vision people consist of dedicated augmented reality hardware allowing to magnify or enhance the overall scene, independently of the image content or patient needs. For example, for patients with central vision loss, interacting with other has become a painful activity since faces and expressions can hardly be recognized. We introduce a new augmented reality system allowing to selectively enhances faces, using two image processing techniques. Our system has the capacity to adjust the enhancement to the detected faces’ size and distance, hence maintaining a constant boost in the critical range of spatial frequency. It offers a binocular and large Field-of-View and performs at near real-time with a modest laptop computer using multithreading. Preliminary experiments with three patients with central vision loss suggest that the enhancements chosen strongly depends on each patient’s condition and lead to improved recognition abilities when patients find their optimal settings.
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Contributor : Pierre Kornprobst Connect in order to contact the contributor
Submitted on : Monday, October 22, 2018 - 12:04:36 PM
Last modification on : Thursday, February 21, 2019 - 11:18:12 AM
Long-term archiving on: : Wednesday, January 23, 2019 - 1:42:01 PM


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  • HAL Id : hal-01900574, version 1




Josselin Gautier, Nicolas Chleq, Pierre Kornprobst. A Binocular LVA Device based on Mixed Reality to Enhance Face Recognition. [Research Report] RR-9216, Université Côte d’Azur, Inria, France. 2018, pp.1-19. ⟨hal-01900574⟩



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