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Related papers: Managing level of detail through peripheral degrad…

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Previous work has demonstrated the utility of reductions in the level of detail (LOD) in the periphery of head-tracked, large field of view displays. This paper provides a psychophysically based model, centered around an eye/head movement…

Human-Computer Interaction · Computer Science 2025-06-27 Benjamin Watson , Neff Walker , Larry F Hodges

A paradigm for the design of systems that manage level of detail in virtual environments is proposed. As an example of the prototyping step in this paradigm, a user study was performed to evaluate the effectiveness of high detail insets…

Human-Computer Interaction · Computer Science 2025-06-27 Benjamin Watson , Neff Walker , Larry F Hodges , Martin Reddy

Virtual Reality headsets enable users to explore the environment by performing self-induced movements. The retinal velocity produced by such motion reduces the visual system's ability to resolve fine detail. We measured the impact of…

Graphics · Computer Science 2023-01-24 David Petrescu , Paul A. Warren , Zahra Montazeri , Stephen Pettifer

Optical see-through head-mounted displays (OST HMDs) typically display virtual content at a fixed focal distance while users need to integrate this information with real-world information at different depth layers. This problem is…

Human-Computer Interaction · Computer Science 2019-09-09 Anna Eiberger , Per Ola Kristensson , Susanne Mayr , Matthias Kranz , Jens Grubert

Modern video games are rapidly growing in size and scale, and to create rich and interesting environments, a large amount of content is needed. As a consequence, often several thousands of detailed 3D assets are used to create a single…

Graphics · Computer Science 2022-08-29 Matilda Tamm , Olivia Shamon , Hector Anadon Leon , Konrad Tollmar , Linus Gisslén

ML-enabled software systems have been incorporated in many public demonstrations for automated driving (AD) systems. Such solutions have also been considered as a crucial approach to aim at SAE Level 5 systems, where the passengers in such…

Computer Vision and Pattern Recognition · Computer Science 2021-07-01 Christian Berger

In this paper we assess the impact of head movement on user's visual acuity and their quality perception of impaired images. There are physical limitations on the amount of visual information a person can perceive and physical limitations…

When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial…

Neurons and Cognition · Quantitative Biology 2021-01-05 Anke Cajar , Ralf Engbert , Jochen Laubrock

3D meshes are one of the main components of Virtual Reality applications. However, many network and computational resources are required to process 3D meshes in real-time. A potential solution to this challenge is to dynamically adapt the…

Multimedia · Computer Science 2024-06-12 Duc Nguyen , Tran Thuy Hien , Truong Thu Huong

In projectors and head-mounted displays, an out-of-focus image appears blurred. Even when a display itself is in focus, computer operation may be hindered if the display is far from the user or if a user has poor visual acuity, because the…

Human-Computer Interaction · Computer Science 2026-04-28 Ryuto Tomihari , Taiki Kinoshita , Yosuke Oba , Shota Yamanaka , Homei Miyashita

Foveated rendering methods usually reduce spatial resolution in the periphery of the users' view. However, using foveated rendering to reduce temporal resolution, i.e., rendering frame rate, seems less explored. In this work, we present the…

Human-Computer Interaction · Computer Science 2025-05-07 Christopher Flöter , Sergej Geringer , Guido Reina , Daniel Weiskopf , Timo Ropinski

Deep learning has made great strides for object detection in images. The detection accuracy and computational cost of object detection depend on the spatial resolution of an image, which may be constrained by both the camera and storage…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Yu Hao , Haoyang Pei , Yixuan Lyu , Zhongzheng Yuan , John-Ross Rizzo , Yao Wang , Yi Fang

Existing saliency models have been designed and evaluated for predicting the saliency in distortion-free images. However, in practice, the image quality is affected by a host of factors at several stages of the image processing pipeline…

Computer Vision and Pattern Recognition · Computer Science 2016-04-14 Milind S. Gide , Samuel F. Dodge , Lina J. Karam

In low-light environments, the performance of computer vision algorithms often deteriorates significantly, adversely affecting key vision tasks such as segmentation, detection, and classification. With the rapid advancement of deep…

Computer Vision and Pattern Recognition · Computer Science 2026-01-22 Fangxue Liu , Lei Fan

Low resolution fine-grained classification has widespread applicability for applications where data is captured at a distance such as surveillance and mobile photography. While fine-grained classification with high resolution images has…

Computer Vision and Pattern Recognition · Computer Science 2021-05-04 Maneet Singh , Shruti Nagpal , Mayank Vatsa , Richa Singh

Recent advances in monocular depth estimation have been made by incorporating natural language as additional guidance. Although yielding impressive results, the impact of the language prior, particularly in terms of generalization and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-15 Agneet Chatterjee , Tejas Gokhale , Chitta Baral , Yezhou Yang

The real human attention is an interactive activity between our visual system and our brain, using both low-level visual stimulus and high-level semantic information. Previous image salient object detection (SOD) works conduct their…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Zhenyu Wu , Shuai Li , Chenglizhao Chen , Aimin Hao , Hong Qin

Foveation and focus cue are the two most discussed topics on vision in designing near-eye displays. Foveation reduces rendering load by omitting spatial details in the content that the peripheral vision cannot appreciate; Providing richer…

Graphics · Computer Science 2019-11-11 Qi Sun , Fu-Chung Huang , Li-Yi Wei , David Luebke , Arie Kaufman , Joohwan Kim

Low-light images are commonly encountered in real-world scenarios, and numerous low-light image enhancement (LLIE) methods have been proposed to improve the visibility of these images. The primary goal of LLIE is to generate clearer images…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Xu Wu , Zhihui Lai , Zhou Jie , Can Gao , Xianxu Hou , Ya-nan Zhang , Linlin Shen

In this paper, a novel Full Reference method is proposed for image quality assessment, using the combination of two separate metrics to measure the perceptually distinct impact of detail losses and of spurious details. To this purpose, the…

Computer Vision and Pattern Recognition · Computer Science 2018-01-25 Elio D. Di Claudio , Giovanni Jacovitti
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