Relevant bibliographies by topics / Low vision

Academic literature on the topic 'Low vision'

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Published: 4 June 2021
Last updated: 29 July 2024

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Journal articles on the topic "Low vision"

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Rosenberg, Robert. "Low vision." Current Opinion in Ophthalmology 3, no. 1 (February 1992): 102–7. http://dx.doi.org/10.1097/00055735-199202000-00014.

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Dodds, Allan G., and Denis P. Davis. "Low vision." International Journal of Rehabilitation Research 10, no. 3 (September 1987): 327–30. http://dx.doi.org/10.1097/00004356-198709000-00014.

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Bailey, Ian L., and Deborah Orel-Bixler. "LOW VISION." Optometry and Vision Science 75, no. 12 (December 1998): 182. http://dx.doi.org/10.1097/00006324-199812000-00039.

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Bailey, Ian L., and Deborah Orel-Bixler. "LOW VISION." Optometry and Vision Science 75, Supplement (December 1998): 182. http://dx.doi.org/10.1097/00006324-199812001-00039.

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Landers, A., B. Billington, and J. Tapley. "Low vision." British Journal of Ophthalmology 80, no. 4 (April 1, 1996): 380–81. http://dx.doi.org/10.1136/bjo.80.4.380-b.

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DEMİRKILINÇ, Elif, Melis PALAMAR, and Önder ÜRETMEN. "Low Vision Aids: The Effectiveness of Low Vision Rehabilitation." Turkiye Klinikleri Journal of Medical Sciences 33, no. 4 (2013): 981–86. http://dx.doi.org/10.5336/medsci.2012-31576.

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Ullah, Muhammad Saad, Sohail Safdar, and Muhammad Nabeel Ahmad. "LOW VISION DEVICES." Professional Medical Journal 22, no. 10 (October 10, 2015): 1345–50. http://dx.doi.org/10.29309/tpmj/2015.22.10.1041.

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Objective: The main objective of the present study was to find out visual outcomeof Low Vision Devices among patients suffering from different diseases causing reduced visualacuity in the area of Dera Ghazi Khan, Southern Punjab, Pakistan. Setting: OphthalmologyDepartment, Dera Ghazi Khan which is a tertiary care hospital. Period: 10th February, 2014 to31st December, 2014. Material and Methods: Patients (n=55) presented for their low visionassessment included two groups age wise as patients equal or more than 18 years age (n=22)and patients less than 18 years (n=33). LOG MAR VA charts, contrast sensitivity test, visualfields through arc perimeters, color vision with color pencils hue 16 test along with objective andsubjective refractions were applied. All the data were entered and analyzed using SPSS version16.00. Results: Patients (n=55) aged 7-90 years presented for their low vision assessment hadmean age 23.73+ 2.9 years. The patients were divided into two age groups. First group was22 (40%) patients equal or more than 18 years age and second consisted of 33(60%) patientsless than 18 years age group. Among the patients examined, 40 (72.7%) were males and 15(27.3%) were females. Our study results revealed that the low vision devices provision wasassociated with a statistically significant improvement in both near and distance visual acuitiesand with patients’ fulfillment. Conclusion: There was a significant improvement in far and nearvisual acuity of the patients suffering from a multiplicity of blindness caused diseases by whichpatients are able to improve their quality of life and able to do their tasks without getting helpfrom others.
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Palmer, Carolyn. "Enhancing low vision." Australian Journal of Learning Disabilities 2, no. 1 (March 1997): 10–16. http://dx.doi.org/10.1080/19404159709546518.

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Connor, M. "Low Vision Bicycling." Journal of Visual Impairment & Blindness 86, no. 2 (February 1992): 111–14. http://dx.doi.org/10.1177/0145482x9208600204.

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This article considers bicycling as a means of transportation, not recreation, for selected individuals with low vision, and examines the skills needed to operate a bicycle in a safe and responsible manner.
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Bailey, Ian L., and Richard T. Wacker. "LOW VISION SECTION." Optometry and Vision Science 68, no. 9 (September 1991): 760–61. http://dx.doi.org/10.1097/00006324-199109000-00021.

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Dissertations / Theses on the topic "Low vision"

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Rahimi, Ali 1976. "Bug vision : experiments in low resolution vision." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/62362.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2001.
Includes bibliographical references (p. 71-73).
Tracking multiple people using cameras is similar to the well-studied problem of tracking multiple radar or sonar echoes. This thesis shows that current camera-based tracking algorithms convert each image in a video sequence to a list of targets through a segmentation step, and pass this target set to a traditional multiple-point-target tracking algorithm. Various tracking vision-based strategies as well as point tracking strategies are discussed. Bayesian solutions to the point-tracking problem are well understood, because the generative models need describe the dynamics of simple point objects. In addition, the radar tracking problem assumes that measurements are noise corrupted positions, which makes it easy to cast the tracking problem in a Bayesian framework. Unlike radar, cameras report observations as images. Though point object dynamics can still be used to describe the hidden state of targets, the observation model is an image formation process. As such, the typical solution to tracking in the camera-based tracking community is to reduce each image to a point set, where each point corresponds to a potential target. However, this step introduces uncertainty that is usually not modeled. This thesis proposes a Bayesian person-tracking algorithm which models the entire process of tracking, from the dynamics of the targets to the formation of easy to compute image transforms. An approximate Bayesian tracking algorithm based on Variational Bayes is developed. All the benefits of a Bayesian framework including modeling of the certainty of the recovered results and model selection are taken advantage of. The resulting person tracking algorithm can operate on extremely poor quality imagery. In addition, the tracker can compute the number of targets in the scene automatically as a side effect of its Bayesian formulation.
by Ali Rahimi.
S.M.
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Gustafsson, Jörgen. "Optics for low vision enabling /." Lund: Certec, Dept. of Design Sciences, Univ, 2004. http://www.certec.lth.se/dok/optikforsynsvaga/.

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Roelofs, Antonius Arnoldus Jozef. "Image enhancement for low vision /." Online version, 1997. http://bibpurl.oclc.org/web/25504.

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Bäckman, Örjan. "Re-establishing reading skills of elderly low vision patients : studies on Swedish low vision clinic clients /." Stockholm, 2000. http://diss.kib.ki.se/2000/91-628-4577-2/.

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Chiang, Peggy Pei-Chia. "The global mapping of low vision services." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/7119.

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Low vision impacts on Quality of Life (QoL). Thus, low vision services are essential to enhance the QoL of people with functional low vision. However, of the estimated 70 out of the 124 million people with low vision who require services, approximately 5-10% has access to services. The demands for low vision services will continue to grow due to the emerging global trends in ageing populations and changes in the epidemiology of vision impairment. While critical data and information are available for other forms of vision impairment, there is a paucity of information on the distribution, needs, and priorities for improving low vision service delivery at the national, regional, and global levels.
This thesis addressed the problem by first developing and distributing a survey to Vision 2020 contacts, government, and non government organisations in 195 countries during 2006-2008 to assess the current situation of low vision services globally. The survey was first pilot tested leading to improvements in the length, layout, and content of its form. Specifically, the survey topics included: epidemiology, policies, human resources, service provision, barriers, equipment, and monitoring and evaluation.
The Classification Analysis and Regression Tree (CART), logistic regression methodology and grounded theory analysis were used to present the findings and identify the critical success factors of low vision service coverage. The qualitative component consisted of case studies in three countries (India, Ghana, and Cameroon) during November 2007 and 2008. A total of 101 interviews were carried out. The case studies provided an overview and historical perspective of services, effectiveness, cost, efficiency, acceptability, access, equity, sustainability, and ideal situations as recommended by interviewees. Qualitative findings from the case studies were produced with the assistance of the NVivo software.
The primary results are that the majority (80%) of countries have poor (≤10%) coverage. Key issues pertinent to the current situation of service coverage are: human resources (number and combination of disciplines), funding (sustainability and arrangements), type of services provided (comprehensive and multidisciplinary) and its locations (NGOs or government facilities), and the sociodemographic and economic barriers (costs, awareness, and rural areas) to accessing services.
The critical success factors found in this research are represented by the ‘FRAME’: Funding (sustainable source, public and private mix), Rehabilitation workers (e.g., adequate numbers of multidisciplinary personnel), Access to low vision devices, Multidisciplinary services; and External contextual influences in which low vision services operate in. The case studies identified seven major themes that further build on the FRAME: sustainability, governance, advocacy, human resources, access, awareness, and service delivery.
The conclusion of the thesis is that a global picture of the current situation of low vision services was acquired and it is now known which countries have poor (≤10%) and better (>10%) coverage. It also found the critical success factors that will assist the WHO Low Vision Working Group and Vision 2020 to improve the current models of service delivery, future planning, training curriculum development, and priorities setting. Specifically, these need to be achieved through three areas of action: human resources development, sustainability, and advocacy.
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Wright, Anne R. (Anne Renée). "A low-cost color vision tracking system." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10896.

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Wallis, S. A. "Low level feature detection in human vision." Thesis, Aston University, 2009. http://publications.aston.ac.uk/15404/.

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Influential models of edge detection have generally supposed that an edge is detected at peaks in the 1st derivative of the luminance profile, or at zero-crossings in the 2nd derivative. However, when presented with blurred triangle-wave images, observers consistently marked edges not at these locations, but at peaks in the 3rd derivative. This new phenomenon, termed ‘Mach edges’ persisted when a luminance ramp was added to the blurred triangle-wave. Modelling of these Mach edge detection data required the addition of a physiologically plausible filter, prior to the 3rd derivative computation. A viable alternative model was examined, on the basis of data obtained with short-duration, high spatial-frequency stimuli. Detection and feature-making methods were used to examine the perception of Mach bands in an image set that spanned a range of Mach band detectabilities. A scale-space model that computed edge and bar features in parallel provided a better fit to the data than 4 competing models that combined information across scale in a different manner, or computed edge or bar features at a single scale. The perception of luminance bars was examined in 2 experiments. Data for one image-set suggested a simple rule for perception of a small Gaussian bar on a larger inverted Gaussian bar background. In previous research, discriminability (d’) has typically been reported to be a power function of contrast, where the exponent (p) is 2 to 3. However, using bar, grating, and Gaussian edge stimuli, with several methodologies, values of p were obtained that ranged from 1 to 1.7 across 6 experiments. This novel finding was explained by appealing to low stimulus uncertainty, or a near-linear transducer.
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Lovie-Kitchin, Jan E. "Reading performance of adults with low vision." Thesis, Queensland University of Technology, 1996. https://eprints.qut.edu.au/36724/1/36724_Digitised%20Thesis.pdf.

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Many factors, related to the reading task, the low vision device and the patient, affect the reading performance and eventual reading rehabilitation of a patient with low vision. Reading performance can be defined in terms of near visual acuity and reading rate - both need to be adequate for reading to be functionally useful. Near visual acuity can be simply and accurately measured with standardised test charts, but the patient's potential reading rate cannot be so easily determined. In this study, reading performance of adults with low vision was examined, firstly with respect to current clinical practice by a survey of low vision clinic records and interviews with patients, and secondly, in an experimental investigation. Data on the ophthalmic characteristics of an adult low vision population were collected retrospectively from the records of a low vision clinic, with emphasis on the powers and types of near low vision devices prescribed and the patients' performances, frequency of use and satisfaction with these devices. Subjects with age related macular degeneration (ARMD) who had previously attended the low vision clinic were interviewed, to investigate their use of near optical low vision devices. In the experimental investigation, the visual functions of subjects with normal and low vision were assessed and reading rate for scrolled printed text was measured at different character sizes and with different window sizes (number of characters in the reading field). The results confirmed that many patient variables significantly affect reading performance. However, the experimental study showed for the first time, that a high proportion of the variance in maximum reading rate for a group of subjects with normal and low vision can be predicted from standard clinically-applicable measures of visual performance. This has not previously been possible because of the use of limited sets of clinical measures. Stepwise multiple regression analysis indicated that for low vision subjects, near word visual acuity, age and right visual field size (degrees) were the strongest predictors of maximum reading rate, accounting for 80% of the variance. This study used a one-line, forced scrolled method to measure maximum oral reading rates, so further research is needed to confirm these findings for everyday reading. The experimental results found that for most patients to read at maximum or near maximum reading rate, character size needs to be 2112 times threshold print size (0.4 log acuity reserve). However, for the first time, it was clearly identified that there is an interaction between required acuity reserve and window size. Maximum reading rate can be achieved with low acuity reserve and large window sizes or high acuity reserve and small window sizes, but the latter is easier to obtain with stand or hand-held magnifiers. Thus, higher magnifications should be prescribed than those calculated from simple geometric principles. This study showed that reading performance of adults will be equivalent when magnification is supplied by either large print or optical magnifiers, provided optimum acuity reserve is provided. While the survey of patient records and the interviews of ARMD subjects indicated that patients continue to use near low vision devices, satisfaction rates decrease over time. This may be due to progressive vision loss together with poor reading illuminances, but the factors determining satisfaction with near low vision devices were unable to be identified by this study. Low vision patients are more likely to be assisted with reading by the prescription of a near low vision device if they are referred to low vision services earlier in the course of their ocular disease, when visual acuity is relatively good. Individual program plans should be used by vision rehabilitation services to assist patients to set specific, realistic goals. The interviews with the ARMD subjects indicated the need for more follow-up care for some patients - those whose vision loss progresses and/or whose functional needs change. This, together with earlier referral of patients, has repercussions for the cost-effectiveness of low vision service delivery. Recommendations are given on the methods of measuring visual acuity, letter contrast sensitivity and central visual fields and the use of the results for reading rehabilitation. Based on the assessment of these visual functions, predictions about the usefulness of a low vision patient's potential reading rate after prescription of, and training with, a near low vision device can be made. Further research is planned to improve reading and visual field assessment methods and to establish vision requirements for everyday reading of stationary text, which will improve the selection of appropriate reading rehabilitation programs for adults with low vision.
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Merron, Jason S. A. "Extracting low-level image cues." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.390483.

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Johansson, Björn. "Low Level Operations and Learning in Computer Vision." Doctoral thesis, Linköpings universitet, Bildbehandling, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-24005.

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This thesis presents some concepts and methods for low level computer vision and learning, with object recognition as the primary application. An efficient method for detection of local rotational symmetries in images is presented. Rotational symmetries include circle patterns, star patterns, and certain high curvature patterns. The method for detection of these patterns is based on local moments computed on a local orientation description in double angle representation, which makes the detection invariant to the sign of the local direction vectors. Some methods are also suggested to increase the selectivity of the detection method. The symmetries can serve as feature descriptors and interest points for use in hierarchical matching structures for object recognition and related problems. A view-based method for 3D object recognition and estimation of object pose from a single image is also presented. The method is based on simple feature vector matching and clustering. Local orientation regions computed at interest points are used as features for matching. The regions are computed such that they are invariant to translation, rotation, and locally invariant to scale. Each match casts a vote on a certain object pose, rotation, scale, and position, and a joint estimate is found by a clustering procedure. The method is demonstrated on a number of real images and the region features are compared with the SIFT descriptor, which is another standard region feature for the same application. Finally, a new associative network is presented which applies the channel representation for both input and output data. This representation is sparse and monopolar, and is a simple yet powerful representation of scalars and vectors. It is especially suited for representation of several values simultaneously, a property that is inherited by the network and something which is useful in many computer vision problems. The chosen representation enables us to use a simple linear model for non-linear mappings. The linear model parameters are found by solving a least squares problem with a non-negative constraint, which gives a sparse regularized solution.
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Books on the topic "Low vision"

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Woo, George C., ed. Low Vision. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4780-7.

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Neal, Helen. Low vision. New York: Simon and Schuster, 1987.

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Jane, Macnaughton. Low vision assessment. New York: Elsevier/Butterworth-Heinemann, 2005.

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Whittaker, Stephen, Mitchell Scheiman, and Debra Sokol-McKay. Low Vision Rehabilitation. 2nd ed. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003524915.

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Thiruvathukal, George K., Yung-Hsiang Lu, Jaeyoun Kim, Yiran Chen, and Bo Chen. Low-Power Computer Vision. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003162810.

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Library of Congress. National Library Service for the Blind and Physically Handicapped., ed. Reading with low vision. [Washington, DC]: National Library Service for the Blind and Physically Handicapped, The Library of Congress, 1989.

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J, Golembiewski Don, and McCaulley Bette L, eds. Coping with low vision. San Diego, Calif: Singular Pub. Group, 1993.

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G, Cole Roy, and Rosenthal Bruce P, eds. Remediation and management of low vision. St. Louis: Mosby, 1996.

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Freeman, Paul B. The art and practice of low vision. 2nd ed. Boston: Butterworth-Heinemann, 1997.

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Lee, Andrew G., Carmel B. Dyer, Yi-Hsien Renee Yeh, T. Ashwini Kini, and Bayan Al Othman. Low Vision in Aging Patients. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30031-9.

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Book chapters on the topic "Low vision"

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Dodds, Allan. "Low vision." In Rehabilitating Blind and Visually Impaired People, 142–58. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4461-0_9.

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Beth, Koch. "Low Vision." In Principles and Practice in Ophthalmic Assisting, 611–20. Boca Raton: CRC Press, 2024. http://dx.doi.org/10.1201/9781003525899-39.

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Sterns, Gwen K. "Low Vision: When Vision Fails." In Geriatric Ophthalmology, 59–63. New York, NY: Springer US, 2009. http://dx.doi.org/10.1007/b137372_7.

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Sterns, Gwen K. "Low Vision: When Vision Fails." In Geriatric Ophthalmology, 59–63. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0014-2_7.

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Doyle, Jennifer, and Gwen K. Sterns. "Low Vision: When Vision Fails." In Geriatric Ophthalmology, 67–72. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04019-2_7.

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Vicente, G. Vike. "Low Vision and Vision Rehabilitation." In Optics for the New Millennium, 297–307. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95251-8_19.

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Nagaratnam, Nages, Kujan Nagaratnam, and Gary Cheuk. "Loss/Low Vision." In Geriatric Diseases, 1–17. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32700-6_95-1.

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Nagaratnam, Nages, Kujan Nagaratnam, and Gary Cheuk. "Loss/Low Vision." In Geriatric Diseases, 755–71. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-33434-9_95.

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İdil, Aysun, and Esra Şahli. "Low Vision Aids." In Pediatric Vitreoretinal Surgery, 1059–78. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-14506-3_71.

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Hsu, Yu-Pin, Inna Babaeva, and AnneMarie O'Hearn. "Outpatient Low Vision." In Quintessential Occupational Therapy, 105–11. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003526230-10.

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Conference papers on the topic "Low vision"

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Jacko, Julie A., Armando B. Barreto, Gottlieb J. Marmet, Josey Y. M. Chu, Holly S. Bautsch, Ingrid U. Scott, and Robert H. Rosa. "Low vision." In the fourth international ACM conference. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/354324.354327.

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Legge, Gordon E. "Understanding low-vision reading." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.fd1.

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Reading difficulties usually accompany low vision. Historically, little research has been devoted to the role of vision in reading. This is due in part to an emphasis on cognitive factors in normal reading and in part to the now discredited view that impaired vision should be conserved rather than aggravated by prolonged tasks like reading. Recently, psychophysical methods have been used to study the role of vision in reading. Normal performance has been evaluated for stimulus variables likely to be important in low-vision reading. Comparable low-vision measurements have been made and departures from normal analyzed. Examples to be discussed include the effects of character size, contrast, and blur. Despite fears that the heterogeneity of low-vision conditions might be too great to yield general principles, these experiments have uncovered distinctions, such as the presence or absence of central vision, that predict reading performance. Moreover, the visual requirements of reading are modest and within the capacity of most low-vision subjects. Research of this kind will establish optimal stimulus conditions for low-vision reading, best reading performance that low-vision individuals may hope to achieve, methods for clinical assessment, and principles for designing new low-vision reading aids.
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Judd, B. "The case for DC: a vision of the future." In Low Voltage, Direct Current. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0037.

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Freeman, W. T., and E. C. Pasztor. "Learning low-level vision." In Proceedings of the Seventh IEEE International Conference on Computer Vision. IEEE, 1999. http://dx.doi.org/10.1109/iccv.1999.790414.

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Kumar, Shailendra, Abhinav Chopra, Sambhav Jain, and Sarthak Arora. "Vision transformer based Devanagari character recognition." In LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022): Proceedings of the 8th International Workshop on Low Radioactivity Techniques. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0169520.

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Shahshahani, Allen, Jake Shahshahani, Lynne L. Grewe, Archana Kashyap, and Krishnan Chandran. "iSight: computer vision based system to assist low vision." In Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, edited by Ivan Kadar. SPIE, 2018. http://dx.doi.org/10.1117/12.2305233.

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Fardoun, Habib M., Mohamed Mashat, and Lorenzo Carretero González. "LVRA: Low Vision Reading Algorithm." In 8th International Conference on Pervasive Computing Technologies for Healthcare. ICST, 2014. http://dx.doi.org/10.4108/icst.pervasivehealth.2014.255254.

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Gan, Yiming, Yuxian Qiu, Lele Chen, Jingwen Leng, and Yuhao Zhu. "Low-Latency Proactive Continuous Vision." In PACT '20: International Conference on Parallel Architectures and Compilation Techniques. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3410463.3414650.

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Woo, George C. "Application of new technology to low vision." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.fd2.

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A number of technological advances in low vision have been made in the last twenty years. The first part of this presentation deals with diagnostic methodology in low vision. From Sloan's letters for measurement of visual acuity, various logarithmic acuity charts have been derived for the assessment of distance visual acuity. Recent studies on low-vision patients also emphasize the importance of measuring visual acuity with low contrast charts. Some of these charts are discussed. In terms of retinal acuities, the optical principles of instruments including the retinometer, the visometer, and the potential acuity meter are reviewed. The clinical use of these instruments is covered. In addition to spatial frequency thresholds, measurement of contrast sensitivity provides another way in which low-vision patients’ vision can be assessed readily. Subtle changes of vision can be monitored by this technique. Illustrated clinical examples are given. The second part deals with optical treatment for low-vision problems. For example, the use of optical filters and prisms for certain low-vision patients is described. Some optoelectronic sensory aids are available at our Centre for Sight Enhancement. A description of one or two systems employing various optical and electronic components is given.
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Peli, Eli. "Vision multiplexing: an optical engineering concept for low-vision aids." In Optical Engineering + Applications, edited by Pantazis Z. Mouroulis, Warren J. Smith, and R. Barry Johnson. SPIE, 2007. http://dx.doi.org/10.1117/12.729315.

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Reports on the topic "Low vision"

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Harrington, Zach, Juliana Crossett, Carlie Carter, Baleigh Gooch, and Liberty Harris. Effects of Occupational Therapy Intervention in Low Vision. University of Tennessee Health Science Center, May 2020. http://dx.doi.org/10.21007/chp.mot2.2020.0004.

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D'Amore, Patricia A. Low Vision Research at the Schepens Eye Research Institute. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada406994.

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D'Amore, Patricia A. Low Vision Research at the Schepens Eye Research Institute. Fort Belvoir, VA: Defense Technical Information Center, July 2003. http://dx.doi.org/10.21236/ada417960.

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Reising, Jack D., and Elizabeth L. Martin. Distance Estimation Training with Night Vision Goggles Under Low Illumination. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada291338.

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Dartt, Darlene A. Molecular Solutions to Low Vision Resulting from Battlefield Injuries. Addendum. Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada526593.

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Clifford E. Smith, Steven M. Cannon, Virgil Adumitroaie, David L. Black, and Karl V. Meredith. LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/889781.

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Clifford E. Smith. LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/889864.

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Clifford Smith. LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS. Office of Scientific and Technical Information (OSTI), July 2003. http://dx.doi.org/10.2172/889865.

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Steve Cannon, Virgil Adumitroaie, Keith McDaniel, and Cliff Smith. LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS. Office of Scientific and Technical Information (OSTI), May 2001. http://dx.doi.org/10.2172/783572.

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Cannon, Steve, Baifang Zuo, Virgil Adumitroaie, Keith McDaniel, and Cliff Smith. LES SOFTWARE FOR THE DESIGN OF LOW EMISSION COMBUSTION SYSTEMS FOR VISION 21 PLANTS. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/793322.

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