Results 11 to 20 of about 6,404,452 (245)

Natural scene statistics predict spatial pooling in tilt estimation

open access: yes, 2020
Data for Kim S and Burge J (2020) Natural scene statistics predict how humans pool information across space in surface tilt estimation, PLOS Computational ...
Seha Kim
core   +9 more sources

Natural scene statistics account for the representation of scene categories in human visual cortex. [PDF]

open access: yesNeuron, 2013
SummaryDuring natural vision, humans categorize the scenes they encounter: an office, the beach, and so on. These categories are informed by knowledge of the way that objects co-occur in natural scenes.
Stansbury DE, Naselaris T, Gallant JL.
europepmc   +2 more sources

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines [PDF]

open access: yes, 2022
Scene classification carry out an imperative accountability in the current emerging field of automation. Traditional classification methods endure with tedious processing techniques.
Jude Hemanth, D.   +5 more
core   +1 more source

Learning midlevel image features for natural scene and texture classification [PDF]

open access: yes, 2007
This paper deals with coding of natural scenes in order to extract semantic information. We present a new scheme to project natural scenes onto a basis in which each dimension encodes statistically independent information.
O'Connor, Noel E.   +4 more
core   +2 more sources

No-Reference Quality Assessment of Deblurred Images Based on Natural Scene Statistics

open access: yesIEEE Access, 2017
Blurring is one of the most common distortions in digital images. In the past decade, extensive image deblurring algorithms have been proposed to restore a latent clean image from its blurred version.
Leida Li   +5 more
doaj   +1 more source

Blind Quality Assessment of Stereoscopic Images Considering Binocular Perception Based on Shearlet Decomposition

open access: yesIEEE Access, 2023
Due to the deficient knowledge of binocular vision properties, how to effectively evaluate stereoscopic images still remains a challenging task. Inspired by multichannel processing of human visual system (HVS), we propose a blind method for stereoscopic ...
Donghui Wan, Xiuhua Jiang, Qing Shen
doaj   +1 more source

Modeling and Predicting Object Attention in Natural Scenes [PDF]

open access: yes, 2011
Humans automatically attend to certain objects in a scene. Better understanding this process could improve a computer's ability to parse scene images and convey information about them to humans. This thesis is arranged in three parts.
Spain, Merrielle Therese
core   +1 more source

P1-22: Upper-Lower Asymmetry in Slant Perception and Natural Scene Statistics

open access: yesi-Perception, 2012
This study investigates the upper-lower asymmetry of slant perception by measuring our daily environment and conducting a psychophysical experiment. We hypothesize that the performance of slant perception varies according to the viewing direction because
Makoto Inagami, Hirohiko Kaneko
doaj   +1 more source

The effect of the first glimpse at a scene on eye movements during search [PDF]

open access: yes, 2012
Previewing scenes briefly makes finding target objects more efficient when viewing is through a gaze-contingent window (windowed viewing). In contrast, showing a preview of a randomly arranged search display does not benefit search efficiency when ...
Hillstrom, Anne P.   +7 more
core   +1 more source

Reduced-Reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics and Structural Degradation

open access: yesIEEE Access, 2018
Perceptual stereo image quality assessment (SIQA) aims to design computational models to measure the stereo image quality in accordance with human opinions.
Jian Ma, Ping An, Liquan Shen, Kai Li
doaj   +1 more source

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