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相关论文: Motion Parallax is Asymptotic to Binocular Dispari…

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When our eyes are presented with the same image, the brain processes it to view it as a single coherent one. The lateral shift in the position of our eyes, causes the two images to possess certain differences, which our brain exploits for…

神经与进化计算 · 计算机科学 2018-11-27 Yashaswini Murthy

Optic flow is two dimensional, but no special qualities are attached to one or other of these dimensions. For binocular disparity, on the other hand, the terms 'horizontal' and 'vertical' disparities are commonly used. This is odd, since…

神经元与认知 · 定量生物学 2018-08-14 Andrew Glennerster , Jenny C. A. Read

Recent calculations using non-linear relativistic cosmological perturbation theory show biases in the mean luminosity distance and distance modulus at low redshift. We show that these effects may be understood very simply as a…

宇宙学与河外天体物理 · 物理学 2015-09-30 Nick Kaiser , Michael J. Hudson

Measuring visual similarity between two or more instances within a data distribution is a fundamental task in image retrieval. Theoretically, non-metric distances are able to generate a more complex and accurate similarity model than metric…

计算机视觉与模式识别 · 计算机科学 2019-04-11 Noa Garcia , George Vogiatzis

Even during fixation the human eye is constantly in low amplitude motion, jittering over small angles in random directions at up to 100Hz. This motion results in all features of the image on the retina constantly traversing a number of…

计算机视觉与模式识别 · 计算机科学 2025-06-17 David W Arathorn , Josephine C. D'Angelo , Austin Roorda

While there has been substantial progress in learning suitable distance metrics, these techniques in general lack transparency and decision reasoning, i.e., explaining why the input set of images is similar or dissimilar. In this work, we…

计算机视觉与模式识别 · 计算机科学 2022-05-05 Meng Zheng , Srikrishna Karanam , Terrence Chen , Richard J. Radke , Ziyan Wu

Motion blur can adversely affect a number of vision tasks, hence it is generally considered a nuisance. We instead treat motion blur as a useful signal that allows to compute the motion of objects from a single image. Drawing on the success…

计算机视觉与模式识别 · 计算机科学 2016-04-21 Jochen Gast , Anita Sellent , Stefan Roth

The Expanding Hole Illusion is a compelling visual phenomenon in which a static, concentric pattern evokes a strong perception of continuous forward motion. Despite its simplicity, this illusion challenges our understanding of how the brain…

神经元与认知 · 定量生物学 2025-01-16 Nasim Nematzadeh , David M. W. Powers

In this paper we prove a number of exact relations between optical observables, such as trigonometric parallax, position drift and the proper motion of a luminous source in addition to the variations of redshift and the viewing angle. These…

广义相对论与量子宇宙学 · 物理学 2025-05-13 Mikołaj Korzyński , Nezihe Uzun

Looming, traditionally defined as the relative expansion of objects in the observer's retina, is a fundamental visual cue for perception of threat and can be used to accomplish collision free navigation. In this paper we derive novel…

图像与视频处理 · 电气工程与系统科学 2022-10-21 Juan Yepes , Daniel Raviv

The movement of the eyes has been the subject of intensive research as a way to elucidate inner mechanisms of cognitive processes. A cognitive task that is rather frequent in our daily life is the visual search for hidden objects. Here we…

神经元与认知 · 定量生物学 2012-12-24 H. F. Credidio , E. N. Teixeira , S. D. S. Reis , A. A. Moreira , J. S. Andrade

We first review the current knowledge of Hipparcos systematic and random errors, in particular small-scale correlations. Then, assuming Gaussian parallax errors and using examples from the recent Hipparcos literature, we show how random…

天体物理学 · 物理学 2007-05-23 F. Arenou , X. Luri

Given 2D point correspondences between an image pair, inferring the camera motion is a fundamental issue in the computer vision community. The existing works generally set out from the epipolar constraint and estimate the essential matrix,…

计算机视觉与模式识别 · 计算机科学 2025-08-21 Guangyang Zeng , Qingcheng Zeng , Xinghan Li , Biqiang Mu , Jiming Chen , Ling Shi , Junfeng Wu

We study asymptotic behaviour of stochastic approximation procedures with three main characteristics: truncations with random moving bounds, a matrix valued random step-size sequence, and a dynamically changing random regression function.…

统计理论 · 数学 2016-11-22 Teo Sharia , Lei Zhong

The visualisation of objects moving at relativistic speeds has been a popular topic of study since Special Relativity's inception. While the standard exposition of the theory describes certain shape-changing effects, such as the…

经典物理 · 物理学 2021-03-17 E. C. Cryer-Jenkins , P. D. Stevenson

Human similarity judgments are inconsistent with Euclidean, Hamming, Mahalanobis, and the majority of measures used in the extensive literatures on similarity and dissimilarity. From intrinsic properties of brain circuitry, we derive…

神经元与认知 · 定量生物学 2017-09-27 Antonio M Rodriguez , Richard Granger

It is proved that nonparametric autoregression is asymptotically equivalent in the sense of Le Cam's deficiency distance to nonparametric regression with random design as well as with regular nonrandom design.

统计理论 · 数学 2007-06-13 Ion G. Grama , Michael H. Neumann

Occultation and microlensing are different limits of the same phenomena of one body passing in front of another body. We derive a general exact analytic expression which describes both microlensing and occultation in the case of spherical…

天体物理学 · 物理学 2009-11-07 Eric Agol

We solve the problem of best approximation by partial isometries of given rank to an arbitrary rectangular matrix, when the distance is measured in any unitarily invariant norm. In the case where the norm is strictly convex, we parametrize…

泛函分析 · 数学 2016-11-08 Jorge Antezana , Eduardo Chiumiento

Parallax measurements allow distances to celestial objects to be determined. Coupled with measurement of their position on the celestial sphere, it gives a full three-dimensional picture of the location of the objects relative to the…

天体物理学 · 物理学 2015-06-24 M. V. Sazhin , V. E. Zharov , T. A. Kalinina
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