Cyclopean image

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Objects in space are evaluated on different points of the retina. Binocular disparity is crucial for the brain to develop a cyclopean image. 1423 Retinal Disparity.jpg
Objects in space are evaluated on different points of the retina. Binocular disparity is crucial for the brain to develop a cyclopean image.

Cyclopean image is a single mental image of a scene created by the brain through the process of combining two images received from both eyes. The mental process behind the Cyclopean image is crucial to stereo vision. [1] Autostereograms take advantage of this process in order to trick the brain to form an apparent Cyclopean image from seemingly random patterns. These random patterns appear often in daily life such as in art, children's books, and architecture. [2]

Cyclopean image is named after the mythical being, Cyclops, a creature possessing one single eye. The single refers to the way stereo sighted viewers perceive the center of their fused visual field as lying between the two physical eyes, as if seen by a cyclopean eye. [3] Alternative terms for cyclopean eye include third central imaginary eye and binoculus.

The term cyclopean stimuli refers to a form of visual stimuli that is defined by binocular disparity alone. It was named after the one-eyed Cyclops of Homer’s Odyssey. The term cyclopean in the terms of binocular disparity was coined by Bela Julesz. [4] Julesz was a Hungarian radar engineer who predicted that stereopsis might help to discover hidden objects, which could prove useful in the finding of camouflaged objects. [5] The important aspect of this research was that Julesz showed using random dot stereograms was sufficient for stereopsis, whereas Charles Wheatstone had only shown that binocular disparity was necessary for stereopsis. [6]

There is a point of irony to the origin of the term cyclopean. The Cyclops from Homer's Odyssey would not have been able to see a cyclopean stimulus as he only possessed one eye. In order for stereopsis to occur, an individual must be able to make use of binocular depth cues, a skill the namesake of the term would not be able to utilize.

Binocular disparity as it relates to cyclopean images has become an interest in research [7] due to a rise in three dimensional technology usage. Three dimensional technology exists not only in research settings but in entertainment industries as well. [8] Because cyclopean images are created using binocular depth cues, cyclopean images are important in understanding the surroundings of an individual in any given environment. Images with greater salience allow for an optimal use of a cyclopean image as important details can be extracted. In other words, an image of higher quality has more meaning to the eye. Although it has limitations due to the surroundings, cyclopean images can be very adaptive. [9]

Proposed technology wishes to use the ideas behind cyclopean imagery as a way to evaluate the quality of images used in search engines. Because images with higher salience provide meaning and context to a situation, technology utilizing this software would be able to sift through information and find what constitutes high and low quality images. [10] A current topic in research is to create an artificial intelligence that would examine an image and generate meaningful and correct information. [11] There are certain concerns when it comes to utilizing cyclopean images in advancing technology, one of which is eye strain. Another concern is whether the technology still functions when images are distorted in various ways. [12] The connection between technology and the human body is not a new idea. For years, researchers have compared the human mind to an advanced computer, and have used this comparison to elevate the technology we use today. [13]

Related Research Articles

<span class="mw-page-title-main">Binocular vision</span> Type of vision with two eyes facing the same direction

In biology, binocular vision is a type of vision in which an animal has two eyes capable of facing the same direction to perceive a single three-dimensional image of its surroundings. Binocular vision does not typically refer to vision where an animal has eyes on opposite sides of its head and shares no field of view between them, like in some animals.

<span class="mw-page-title-main">Stereoscopy</span> Technique for creating or enhancing the illusion of depth in an image

Stereoscopy is a technique for creating or enhancing the illusion of depth in an image by means of stereopsis for binocular vision. The word stereoscopy derives from Greek στερεός (stereos) 'firm, solid', and σκοπέω (skopeō) 'to look, to see'. Any stereoscopic image is called a stereogram. Originally, stereogram referred to a pair of stereo images which could be viewed using a stereoscope.

<span class="mw-page-title-main">Depth perception</span> Visual ability to perceive the world in 3D

Depth perception is the ability to perceive distance to objects in the world using the visual system and visual perception. It is a major factor in perceiving the world in three dimensions. Depth perception happens primarily due to stereopsis and accommodation of the eye.

<span class="mw-page-title-main">Autostereogram</span> Visual illusion of 3D scene achieved by unfocusing eyes when viewing specific 2D images

An autostereogram is a two-dimensional (2D) image that can create the optical illusion of a three-dimensional (3D) scene. Autostereograms use only one image to accomplish the effect while normal stereograms require two. The 3D scene in an autostereogram is often unrecognizable until it is viewed properly, unlike typical stereograms. Viewing any kind of stereogram properly may cause the viewer to experience vergence-accommodation conflict.

<span class="mw-page-title-main">3D display</span> Display device

A 3D display is a display device capable of conveying depth to the viewer. Many 3D displays are stereoscopic displays, which produce a basic 3D effect by means of stereopsis, but can cause eye strain and visual fatigue. Newer 3D displays such as holographic and light field displays produce a more realistic 3D effect by combining stereopsis and accurate focal length for the displayed content. Newer 3D displays in this manner cause less visual fatigue than classical stereoscopic displays.

<span class="mw-page-title-main">Binocular rivalry</span>

Binocular rivalry is a phenomenon of visual perception in which perception alternates between different images presented to each eye.

<span class="mw-page-title-main">Béla Julesz</span>

Béla Julesz was a Hungarian-born American visual neuroscientist and experimental psychologist in the fields of visual and auditory perception.

Random-dot stereogram (RDS) is stereo pair of images of random dots which, when viewed with the aid of a stereoscope, or with the eyes focused on a point in front of or behind the images, produces a sensation of depth, with objects appearing to be in front of or behind the display level.

Stereopsis is the component of depth perception retrieved through binocular vision. Stereopsis is not the only contributor to depth perception, but it is a major one. Binocular vision happens because each eye receives a different image because they are in slightly different positions on one's head. These positional differences are referred to as "horizontal disparities" or, more generally, "binocular disparities". Disparities are processed in the visual cortex of the brain to yield depth perception. While binocular disparities are naturally present when viewing a real three-dimensional scene with two eyes, they can also be simulated by artificially presenting two different images separately to each eye using a method called stereoscopy. The perception of depth in such cases is also referred to as "stereoscopic depth".

<span class="mw-page-title-main">Fixation disparity</span>

Fixation disparity is a tendency of the eyes to drift in the direction of the heterophoria. While the heterophoria refers to a fusion-free vergence state, the fixation disparity refers to a small misalignment of the visual axes when both eyes are open in an observer with normal fusion and binocular vision. The misalignment may be vertical, horizontal or both. The misalignment is much smaller than that of strabismus. While strabismus prevents binocular vision, fixation disparity keeps binocular vision, however it may reduce a patient's level of stereopsis. A patient may or may not have fixation disparity and a patient may have a different fixation disparity at distance than near. Observers with a fixation disparity are more likely to report eye strain in demanding visual tasks; therefore, tests of fixation disparity belong to the diagnostic tools used by eye care professionals: remediation includes vision therapy, prism eye glasses, or visual ergonomics at the workplace.

Binocular disparity refers to the difference in image location of an object seen by the left and right eyes, resulting from the eyes’ horizontal separation (parallax). The brain uses binocular disparity to extract depth information from the two-dimensional retinal images in stereopsis. In computer vision, binocular disparity refers to the difference in coordinates of similar features within two stereo images.

Stereoblindness is the inability to see in 3D using stereopsis, or stereo vision, resulting in an inability to perceive stereoscopic depth by combining and comparing images from the two eyes.

<span class="mw-page-title-main">3D stereo view</span> Enables viewing of objects through any stereo pattern

A 3D stereo view is the viewing of objects through any stereo pattern.

2D to 3D video conversion is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.

Stereoscopic acuity, also stereoacuity, is the smallest detectable depth difference that can be seen in binocular vision.

<span class="mw-page-title-main">Stereopsis recovery</span>

Stereopsis recovery, also recovery from stereoblindness, is the phenomenon of a stereoblind person gaining partial or full ability of stereo vision (stereopsis).

Binocular neurons are neurons in the visual system that assist in the creation of stereopsis from binocular disparity. They have been found in the primary visual cortex where the initial stage of binocular convergence begins. Binocular neurons receive inputs from both the right and left eyes and integrate the signals together to create a perception of depth.

Stereoscopic motion, as introduced by Béla Julesz in his book Foundations of Cyclopean Perception of 1971, is a translational motion of figure boundaries defined by changes in binocular disparity over time in a real-life 3D scene, a 3D film or other stereoscopic scene. This translational motion gives rise to a mental representation of three dimensional motion created in the brain on the basis of the binocular motion stimuli. Whereas the motion stimuli as presented to the eyes have a different direction for each eye, the stereoscopic motion is perceived as yet another direction on the basis of the views of both eyes taken together. Stereoscopic motion, as it is perceived by the brain, is also referred to as cyclopean motion, and the processing of visual input that takes place in the visual system relating to stereoscopic motion is called stereoscopic motion processing.

Julie Marie Harris has been Director of Research in the School of Psychology and Neuroscience (2011–21) and a Professor of Vision Science at the University of St Andrews. Her research investigates visual systems and camouflage.

<span class="mw-page-title-main">Vergence-accommodation conflict</span> Visual and perceptual phenomenon

Vergence-accommodation conflict (VAC), also known as accommodation-vergence conflict, is a visual phenomenon that occurs when the brain receives mismatching cues between vergence and accommodation of the eye. This commonly occurs in virtual reality devices, augmented reality devices, 3D movies, and other types of stereoscopic displays and autostereoscopic displays. The effect can be unpleasant and cause eye strain.

References

  1. Wolbarsht, Myron L. (1972-09-01). "Foundations of Cyclopean Perception. Bela Julesz". The Quarterly Review of Biology. 47 (3): 353–354. doi:10.1086/407382. ISSN   0033-5770.
  2. Ninio, Jacques (2007-02-01). "The science and craft of autostereograms". Spatial Vision. 21 (1–2): 185–200. doi:10.1163/156856807782753912. PMID   18073058.
  3. Gogel, Walter C; Civil Aeromedical Research Institute (U.S.) (1963). The perception of depth from binocular disparity. Oklahoma City, Okla.: Federal Aviation Agency, Aviation Medical Service, Aeromedical Research Division, Civil Aeromedical Research Institute. OCLC   70585084.
  4. "Bela Julesz". www.nasonline.org. Retrieved 2020-06-29.
  5. Tyler, Christopher (2005-03-01). Rogowitz, Bernice E; Pappas, Thrasyvoulos N; Daly, Scott J (eds.). "The riches of the cyclopean paradigm". Proc SPIE. Human Vision and Electronic Imaging X. 5666: 62. Bibcode:2005SPIE.5666...62T. doi:10.1117/12.602896. S2CID   206414361.
  6. "Charles Wheatstone - Engineering and Technology History Wiki". ethw.org. 20 January 2016. Retrieved 2020-07-01.
  7. Li, Sumei; Han, Xu; Chang, Yongli (October 2019). "Adaptive Cyclopean Image-Based Stereoscopic Image-Quality Assessment Using Ensemble Learning". IEEE Transactions on Multimedia. 21 (10): 2616–2624. doi:10.1109/TMM.2019.2907470. ISSN   1941-0077. S2CID   132019317.
  8. Messai, Oussama; Hachouf, Fella; Seghir, Zianou Ahmed (2020-03-01). "AdaBoost neural network and cyclopean view for no-reference stereoscopic image quality assessment". Signal Processing: Image Communication. 82: 115772. doi:10.1016/j.image.2019.115772. ISSN   0923-5965. S2CID   211235213.
  9. Li, Sumei; Han, Xu; Chang, Yongli (October 2019). "Adaptive Cyclopean Image-Based Stereoscopic Image-Quality Assessment Using Ensemble Learning". IEEE Transactions on Multimedia. 21 (10): 2616–2624. doi:10.1109/TMM.2019.2907470. ISSN   1941-0077. S2CID   132019317.
  10. Lin, Yancong; Yang, Jiachen; Lu, Wen; Meng, Qinggang; Lv, Zhihan; Song, Houbing (February 2017). "Quality Index for Stereoscopic Images by Jointly Evaluating Cyclopean Amplitude and Cyclopean Phase". IEEE Journal of Selected Topics in Signal Processing. 11 (1): 89–101. Bibcode:2017ISTSP..11...89L. doi:10.1109/JSTSP.2016.2632422. ISSN   1941-0484. S2CID   18610475.
  11. Yang, Jiachen; Sim, Kyohoon; Lu, Wen; Jiang, Bin (July 2019). "Predicting Stereoscopic Image Quality via Stacked Auto-Encoders Based on Stereopsis Formation". IEEE Transactions on Multimedia. 21 (7): 1750–1761. doi:10.1109/TMM.2018.2889562. ISSN   1941-0077. S2CID   69969280.
  12. Yang, Jiachen; Wang, Yafang; Li, Baihua; Lu, Wen; Meng, Qinggang; Lv, Zhihan; Zhao, Dezong; Gao, Zhiqun (2016-12-10). "Quality assessment metric of stereo images considering cyclopean integration and visual saliency". Information Sciences. 373: 251–268. doi:10.1016/j.ins.2016.09.004. ISSN   0020-0255. S2CID   205465545.
  13. Pinker (2009). How the Mind Works (1997/2009). New York, NY: W. W. Norton & Company.