18 papers · ranked by Valyu relevance
Isabella Bustanoby, Andrew Krupien, Umaima Afifa, Benjamin Asdell + 26 more
Visual perception plays a critical role in navigating 3D space and extracting semantic information crucial to survival. Even though visual stimulation on the retina is fundamentally 2D, we seem to perceive the world around us in vivid 3D effortlessly. This reconstructed 3D space is allocentric and faithfully represents…
Qiang Liu, Shuai Li, Qiang Yang, Caihong Dai + 5 more
Background: With the widespread application of three-dimensional (3D) display technology, enhancing the realism of users’ experience in virtual 3D space has become important. A deep understanding of the mechanisms of human depth perception is therefore crucial. Objective: This study aims to investigate the influence of…
Zhe-Xin Xu, Jiayi Pang, Akiyuki Anzai, Gregory C. DeAngelis
Vision is an active process. We move our eyes and head to acquire useful information and to track objects of interest. While these movements are essential for many behaviors, they greatly complicate the analysis of retinal image motion; the image motion of an object reflects both how that object moves in the world and…
Sophie Kergaßner, Taimoor Tariq, Piotr Didyk
To navigate 3D space, humans rely on a number of different depth cues, each being suitable and dominant in specific scenarios. For example, while we mostly rely on stereopsis (binocular vision), convergence, and accommodation for close objects, we primarily use the cue of aerial perspective for very distant targets…
Shuai Li, Shufang He, Yuanrui Dong, Caihong Dai + 3 more
Background and Objectives: Depth perception of the human visual system in three-dimensional (3D) space plays an important role in human-computer interaction and artificial intelligence (AI) areas. It mainly employs binocular disparity and motion parallax cues. This study aims to systemically summarize the related…
Dooyoung Kim, Jin-Seok Hong, Heejeong Ko, Woontack Woo
Fig. 1: (a) Top view and (b) side view of a wall display-based XR space. Human cognitive ability enables perceiving the image on a large wall display as an extended virtual space (a, c) within an estimated depth perception zone (b, d), with the appropriate ratio of a virtual depth (dv) to a physical distance (dp) at a…
Matteo Priorelli, Giovanni Pezzulo, Ivilin Peev Stoianov
Depth estimation is an ill-posed problem: objects of different shapes or dimensions, even if at a different distance, may project to the same 2D image on the retina. Our brain uses several cues for depth estimation, including monocular cues such as motion parallax and binocular cues like diplopia. However, it is still…
Žiga Lesar, Ciril Bohak, Matija Marolt
Depth perception in volumetric visualization plays a crucial role in the understanding and interpretation of volumetric data. Numerous visualization techniques, many of which rely on physically based optical effects, promise to improve depth perception but often do so without considering camera movement or the content…
Paul B. Hibbard, Rebecca L. Hornsey, Jordi M. Asher
Binocular disparity is an important cue to three-dimensional shape. We assessed the contribution of this cue to the reliability and consistency of depth in stereoscopic photographs of natural scenes. Observers viewed photographs of cluttered scenes while adjusting a gauge figure to indicate the apparent…
Dhanraj Vishwanath
The dominant inferential approach to human 3D perception assumes a model of spatial encoding based on a physical description of objects and space. Prevailing models based on this physicalist approach assume that the visual system infers an objective, unitary and mostly veridical representation of the external world.…
Jovan T. Kemp, Evan Cesanek, Fulvio Domini
The fundamental question of how the brain derives 3D information from the inherently ambiguous visual input has been approached during the last two decades with probabilistic theories of 3D perception. Probabilistic models, such as the Maximum Likelihood Estimation (MLE) model, derive from multiple independent depth…
Ranran L. French, Gregory C. DeAngelis
An important function of the visual system is to represent 3D scene structure from a sequence of 2D images projected onto the retinae. During observer translation, the relative image motion of stationary objects at different distances (motion parallax) provides potent depth information. However, if an object moves…
Samuel P. Smithers, Yulong Shao, James Altham, Peter J. Bex
Crowding occurs when highly visible objects are rendered unrecognizable in the presence of nearby features. Several studies have demonstrated that crowding can be reduced by depth differences between target and flanking features, which challenges the assumption of real-world significance because real objects typically…
Robert Kerschner, Rakesh John Amala Arokia Nathan, Rafał Mantiuk, Oliver Bimber
'Oliver Bimber'] Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human ability to fuse stereoscopic images. For object identification…
Paul Linton
Since Kepler and Descartes in the early-1600s, vision science has been committed to a triangulation model of stereo vision. But in the early-1800s, we realized that disparities are responsible for stereo vision. And we have spent the past 200 years trying to shoe-horn disparities back into the triangulation account.…
Paul Linton
We present a new illusion that challenges our understanding of stereo vision. The illusion consists of a larger circle at 50cm, and smaller circle in front of it at 40cm, with constant angular sizes throughout. We move the larger circle forward by 10cm (to 40cm) and then back again (to 50cm). The question is, what…
Jianyi Yang, Jianbo Ye, Ankan Dash, Guiling Wang
By comparing biological and artificial perception through the lens of illusions, we highlight critical differences in how each system constructs visual reality. Understanding these divergences can inform the development of more robust, interpretable, and human-aligned artificial intelligence (AI) vision systems. In…
J. Farley Norman, Jessica L. Lewis, Alejandro B. Ramirez, Emily N. Bryant + 2 more
Many previous studies have investigated visual distance perception, especially for small to moderate distances. Few experiments, however, have evaluated the perception of large distances (e.g., 100 m or more). The studies that have been conducted have found conflicting results (diametrically opposite conclusions). In…