Results 251 to 260 of about 28,873 (300)

Ship Ranging Method in Lake Areas Based on Binocular Vision. [PDF]

Sensors (Basel)
Zhang T, Liu X, Shao M, Sun Y, Zhang Q.
europepmc   +1 more source

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

<i>"Solid Hollows"</i> and "<i>Reverspectives"</i>: Similarities and differences. [PDF]

Iperception
Rogers B, Hughes P.
europepmc   +1 more source

A Common Prescription Lens Correction Causes Motion Illusions in the Presbyopic and General Populations. [PDF]

Invest Ophthalmol Vis Sci
Rodriguez-Lopez V, Dyer CM, Burge J.
europepmc   +1 more source

The landscape of dementia in India: Prevalence, risk factors, and opportunities ahead. [PDF]

Alzheimers Dement
Oberoi A, Cai K, West R, Wadhawan A, Willette A, Simon SS, Tsao J, Gu Y, Fonseca LM, Patel T, Beeri MS.   +10 more
europepmc   +1 more source

Breaking and restoring ocular balance: Temporal interactions in binocular rivalry and stereopsis. [PDF]

J Vis
Jiang R, Meng M.
europepmc   +1 more source

Macular Diplopia Caused by Epiretinal Membrane. [PDF]

Cureus
Gutovitz J, Patil M, Korf SZ, Shneor E, Friedrich Y, Nasser O.   +5 more
europepmc   +1 more source

Effects of Perceptual Learning Through Binocular Virtual Reality Exercises on Low Stereopsis. [PDF]

J Clin Med
Calderón-González MT, Sánchez-Pavón I, Portela-Camino JA, Martín-González S.   +3 more
europepmc   +1 more source

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Dense disparity features for fast stereo vision

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
A stereo vision algorithm suitable for fast dense stereo matching is proposed. This method extracts areas of uniform disparity or dense disparity features by testing candidate disparity estimates and classifying pixels according to a matching error. By commencing with a rigorous error threshold, pixels of reliable disparity values are identified.
John Kalomiros
exaly   +2 more sources