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  1. 1901
    “…This study evaluated stereopsis and other visual functions in patients with idiopathic macular hole (MH), and sought to identify vision-related parameters that affect stereopsis. …”
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    Vision-related parameters that affect stereopsis in patients with macular hole
  2. 1902
    “…This study aimed to compare various visual function parameters for evaluating the quality of life (QOL) of patients with advanced glaucoma with low vision. In total, 44 eyes of advanced glaucoma patients with low vision were included in this cross-sectional study. …”
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    Visual function evaluation for low vision patients with advanced glaucoma
  3. 1903
    “…The built prototype complements the GPS through Computer Vision (CV) algorithms, based on Convolutional Neural Networks (CNN), running in a Raspberry Pi 3 with a Pi NoIR Camera (i.e., No InfraRed—without infrared filter). …”
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    UAV Landing Using Computer Vision Techniques for Human Detection †
  4. 1904
    “…In this paper we tackle the problem of indoor robot localization by using a vision-based approach. Specifically, we propose a visual odometer able to give back the relative pose of an omnidirectional automatic guided vehicle (AGV) that moves inside an indoor industrial environment. …”
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    A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots
  5. 1905
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    Framework for Structural Health Monitoring of Steel Bridges by Computer Vision
  6. 1906
    “…Secondly, a method to solve scale ambiguity and repositioning of the monocular ORB-SLAM (oriented fast and rotated brief-simultaneous localization and mapping) algorithm based on EKF is proposed, which can calculate the ambiguity in real time and can quickly reposition when the vision track fails. Lastly, two experiments were carried out, one in a corridor with sparse texture and the other with the light brightness changing frequently. …”
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    An UWB/Vision Fusion Scheme for Determining Pedestrians’ Indoor Location
  7. 1907
    “…To better understand red-light vision in rodents, we assessed retinal sensitivity of pigmented and albino rats to far-red light by electroretinogram. …”
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    Challenging a Myth and Misconception: Red-Light Vision in Rats
  8. 1908
    “…Seven commercial Chinese chrysanthemum tea products were classified by computer vision combined with machine learning algorithms. …”
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    Rapid identification of chrysanthemum teas by computer vision and deep learning
  9. 1909
    “…Omnidirectional and 360° images are becoming widespread in industry and in consumer society, causing omnidirectional computer vision to gain attention. Their wide field of view allows the gathering of a great amount of information about the environment from only an image. …”
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    OmniSCV: An Omnidirectional Synthetic Image Generator for Computer Vision
  10. 1910
    por Lee, Kyuman, Johnson, Eric N.
    Publicado 2020
    “…With the advent of unmanned aerial vehicles (UAVs), a major area of interest in the research field of UAVs has been vision-aided inertial navigation systems (V-INS). …”
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    Robust Outlier-Adaptive Filtering for Vision-Aided Inertial Navigation
  11. 1911
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    Visions of the electrochemical future, past and present: Plus ca change?
  12. 1912
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    Neural bases of self‐ and object‐motion in a naturalistic vision
  13. 1913
    “…We continued to assess in vivo spectral sensitivity of cone vision using electroretinography and multi-channel recordings from the visual thalamus. …”
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    Spectral sensitivity of cone vision in the diurnal murid Rhabdomys pumilio
  14. 1914
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    Elective egg freezing: what is the vision of women around the globe?
  15. 1915
    por Anstis, Stuart, Hong, Grace, Ho, Alan
    Publicado 2020
    “…Thus, when competing stimuli are distributed over time (flicker) or space (dichoptic vision), the visual system overweights the stimulus with the higher contrast. …”
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    Salience-Based Edge Selection in Flicker and Binocular Color Vision
  16. 1916
    por Kim, Bong Keun, Sumi, Yasushi
    Publicado 2020
    “…Finally, object recognition experiments using vision-based SRS for robots are conducted at low visibility. …”
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    Vision-Based Safety-Related Sensors in Low Visibility by Fog
  17. 1917
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    COVID-19: La visión del residente de reumatología
  18. 1918
    “…Convolutional Neural Networks (CNN) has gained much attention for the solution of numerous vision problems including disparities calculation in stereo vision systems. …”
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    ModuleNet: A Convolutional Neural Network for Stereo Vision
  19. 1919
    “…All the ophthalmology trainees inducted for the training programs at the institution underwent a comprehensive ophthalmic and binocular vision assessment. Subjects with previous diagnosis of binocular vision dysfunction and vision therapy were excluded. …”
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    Frequency of undetected binocular vision anomalies among ophthalmology trainees
  20. 1920
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    The limits of color awareness during active, real-world vision
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