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Optimization of Visual Information Presentation for Visual Prosthesis
2018
International Journal of Biomedical Imaging
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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
2019
IEICE transactions on information and systems
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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]
2021
arXiv
pre-print
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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
2019
Jornada de Jóvenes Investigadores del I3A
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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
2020
PLoS ONE
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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]
2022
bioRxiv
pre-print
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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]
2016
arXiv
pre-print
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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
2019
Therapeutic Advances in Ophthalmology
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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
2009
Vision Research
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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
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
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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
2016
Computer Vision and Image Understanding
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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]
2019
Prosthesis [Working Title]
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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
2021
Arbor: Ciencia, Pensamiento y Cultura
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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
2014
IEEE Transactions on Systems, Man & Cybernetics. Systems
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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)
2019
Journal of Eye Movement Research
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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": https://vimeo.com/user43478756. ...
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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