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Optimization of Visual Information Presentation for Visual Prosthesis

Fei Guo, Yuan Yang, Yong Gao
2018 International Journal of Biomedical Imaging  
This paper proposes two image processing strategies based on a salient object detection technique.  ...  recognition in simulated prosthetic vision.  ...  [13] proposed two image processing strategies based on improved Itti and GBVS model to optimize the presentation in simulated prosthetic vision, respectively.  ... 
doi:10.1155/2018/3198342 pmid:29731769 pmcid:PMC5872628 fatcat:neiub3rr6jevjincqnyrfcl7qm

Recognition of Moving Object in High Dynamic Scene for Visual Prosthesis

Fei GUO, Yuan YANG, Yang XIAO, Yong GAO, Ningmei YU
2019 IEICE transactions on information and systems  
Based on this model, two optimization strategies are proposed to improve the perception of moving objects under simulated prosthetic vision.  ...  Some studies explore existing image processing techniques to improve the percepts of objects in prosthetic vision.  ...  life for the recognition of moving objects under simulated prosthetic vision.  ... 
doi:10.1587/transinf.2018edp7405 fatcat:jwxubls5cjb7nhoj47nqyhnidm

Deep Learning–Based Scene Simplification for Bionic Vision [article]

Nicole Han
2021 arXiv   pre-print
We show that object segmentation may better support scene understanding than models based on visual saliency and monocular depth estimation.  ...  Here we combine deep learning--based scene simplification strategies with a psychophysically validated computational model of the retina to generate realistic predictions of simulated prosthetic vision  ...  We would like to thank Yaoyi Bai and Sikun Lin for their contribution to an earlier version of the depth algorithm, and Asa Young for collecting the video stimuli. We would also like to thank Dr.  ... 
arXiv:2102.00297v1 fatcat:vxshj7nemzgtxpdjw7m7ni6wuq

Semantic and Structural Image Segmentation for Prosthetic Vision

Melani Sanchez Garcia, Rubén Martínez Cantín, José J. Guerrero
2019 Jornada de Jóvenes Investigadores del I3A  
of segmented objects.  ...  Experiments were conducted with normal sighted subjects with a Simulated Prosthetic Vision system.  ...  Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision.  ... 
doi:10.26754/jji-i3a.003511 fatcat:4gpbxo5y7zajrjsxxzjw4wpbda

Semantic and structural image segmentation for prosthetic vision

Melani Sanchez-Garcia, Ruben Martinez-Cantin, Jose J. Guerrero, Yuanquan Wang
2020 PLoS ONE  
The results show good accuracy for object recognition and room identification tasks for indoor scenes using the proposed approach, compared to other image processing methods.  ...  of segmented objects.  ...  Image processing strategies based on saliency segmentation for object recognition under simulated prosthetic vision.  ... 
doi:10.1371/journal.pone.0227677 pmid:31995568 fatcat:jqlrxmyp6jdhtnrewxil5qp644

Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning [article]

Burcu Küçükoğlu, Bodo Rueckauer, Nasir Ahmad, Jaap de Ruyter van Steveninck, Umut Güçlü, Marcel van Gerven
2022 bioRxiv   pre-print
These findings signify the relevance of adaptive reinforcement learning for neuroprosthetic vision in complex environments.  ...  Previous approaches considered task-agnostic feature extractors such as edge detectors or semantic segmentation, which are likely suboptimal for specific tasks in complex dynamic environments.  ...  Acknowledgements This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 899287.  ... 
doi:10.1101/2022.02.25.482017 fatcat:bff5obzgazdotj76uyr3ffiqgy

Saliency Driven Object recognition in egocentric videos with deep CNN [article]

Philippe Pérez de San Roman, Jenny Benois-Pineau, Jean-Philippe Domenger, Florent Paclet, Daniel Cataert, Aymar de Rugy
2016 arXiv   pre-print
fixation on the object-of-interest.  ...  One of the key issues here is to reduce the number of windows selected from images to be submitted to a Deep CNN.  ...  art in egocentric object recognition does not allow for getting scores approaching 100% for all object categories and requires a heavy annotation process, the information on the object of interest the  ... 
arXiv:1606.07256v1 fatcat:g3ufdmtmsnci7dr67juf57okxm

Advances in retinal prosthesis systems

Edward Bloch, Yvonne Luo, Lyndon da Cruz
2019 Therapeutic Advances in Ophthalmology  
outcomes in ultra-low vision and strategies for tackling existing hardware and software constraints.  ...  and innovative future for retinal prosthetics.  ...  This image processing method, termed saliency mapping, has been used to develop computational models for rapid recognition and segmentation of image information for over a decade and is now widely utilized  ... 
doi:10.1177/2515841418817501 pmid:30729233 pmcid:PMC6350159 fatcat:qz4mhap7vrdxdm7b3wtregnd7i

Simulating prosthetic vision: I. Visual models of phosphenes

Spencer C. Chen, Gregg J. Suaning, John W. Morley, Nigel H. Lovell
2009 Vision Research  
The utility of prosthetic vision has been studied by investigators in the form of virtual-reality visual models (simulations) of prosthetic vision administered to normally sighted subjects.  ...  For the results from these simulation studies to be relevant to the experience of visual prosthesis recipients, it is important that, the simulated phosphenes must be consistent with the descriptions from  ...  object recognition, etc.  ... 
doi:10.1016/j.visres.2009.02.003 pmid:19504749 fatcat:d3my7gymuffeljuqudz35lnkf4

Depth and Motion Cues with Phosphene Patterns for Prosthetic Vision

Alejandro Perez-Yus, Jesus Bermudez-Cameo, Jose J. Guerrero, Gonzalo Lopez-Nicolas
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
The effectiveness of this approach is tested in simulation with real data from indoor environments.  ...  Therefore, implanted visual prostheses provide bionic vision with very limited spatial and intensity resolution when compared against healthy vision.  ...  Most of the current approaches used in prosthetic vision and SPV are based on basic image processing techniques [3, 4] .  ... 
doi:10.1109/iccvw.2017.179 dblp:conf/iccvw/Perez-YusBGL17 fatcat:izmaj6cs5vcb7gnqb26eruc5cu

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst
2016 Computer Vision and Image Understanding  
vision tasks from a biological per spective: image sensing, segmentation and optical flow.  ...  Based on this comparative analysis of computer and biological vision, we present some recent models in biological vision and highlight a few models that we think are promising for future investigations  ...  H N acknowledges support from DFG in the SFB/TRR 'A Companion Technology for Cognitive Technical Systems. P K acknowledges support from the EC IP project FP7-ICT-2011-9 no. 600847 (RENVISION).  ... 
doi:10.1016/j.cviu.2016.04.009 fatcat:lad5bwlqgbb5nhgtnxj6d32mc4

The Argus II Retinal Prosthesis System [chapter]

Edward Bloch, Lyndon da Cruz
2019 Prosthesis [Working Title]  
Results from a phase II study of 30 patients have demonstrated improved performance in basic tests of visual function, object recognition, letter reading, prehension, orientation and mobility tasks.  ...  The Argus II retinal prosthesis system was the first of its kind to receive regulatory approval for commercial use in Europe and the USA.  ...  This process is known as saliency mapping, and similar algorithmic methods of rapid recognition and segmentation of information have previously been used with success in the form of speech processors for  ... 
doi:10.5772/intechopen.84947 fatcat:mfrqbswbjndzdpxvwps3hzzqru

El aprendizaje en sistemas autónomos e inteligentes: visión general y sesgos de fuentes de datos

Pablo Jiménez Schlegl
2021 Arbor: Ciencia, Pensamiento y Cultura  
También enfatizamos el sesgo que se observa en bases de datos de imágenes y originados por anotación humana.  ...  En este artículo proporcionamos una visión general de los paradigmas de aprendizaje de los sistemas artificiales: métodos supervisados y no supervisados, con los ejemplos más destacados de cada categoría  ...  ACKNOWLEDGEMENTS This work has been partially funded by the European Union Horizon 2020 Programme under grant agreement no. 741930 (CLOTHILDE) and by the Spanish State Research Agency through the María  ... 
doi:10.3989/arbor.2021.802005 fatcat:65hhkywpzjfjdkmudvg5uwojke

What/Where to Look Next? Modeling Top-Down Visual Attention in Complex Interactive Environments

Ali Borji, Dicky N. Sihite, Laurent Itti
2014 IEEE Transactions on Systems, Man & Cybernetics. Systems  
In this study, we describe new task-dependent approaches for modeling top-down overt visual attention based on graphical models for probabilistic inference and reasoning.  ...  Probabilistic inference in our model is performed over object-related functions which are fed from manual annotations of objects in video scenes or by state-ofthe-art object detection/recognition algorithms  ...  or video games) [37] , flight and driving simulators (e.g., driver assistant systems), and visual prosthetic devices [38] .  ... 
doi:10.1109/tsmc.2013.2279715 fatcat:z4g6nari2jb5lbhx2jb2ouwyaq

Abstracts of the 20th European Conference on Eye Movements, 18-22 August 2019, in Alicante (Spain)

Susana Martinez-Conde, Luis Martinez-Otero, Albert Compte, Rudolf Groner
2019 Journal of Eye Movement Research  
This document contains all abstracts of the 20th European Conference on Eye Movements, August 18-22, 2019, in Alicante, Spain Video stream "Glimpses at 20th ECEM":  ...  Results: We observed improved performance on incentivized trials (more so for reward than penalty) looking at peak velocity and reaction times.  ...  Reward was calculated as a fraction of the maximum depending on the performance (accuracy and speed).  ... 
doi:10.16910/jemr.12.7.1 pmid:33828763 pmcid:PMC7917478 fatcat:wqzwn552cndsnablyikzx3og5e
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