Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Search content at Experts@Minnesota
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Enhancing Foveated Rendering with Weighted Reservoir Sampling
Ville Cantory
, Darya Biparva
, Haoyu Tan
, Tongyu Nie
, John Schroeder
, Ruofei Du
,
Victoria Interrante
, Piotr Didyk
Computer Science and Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Enhancing Foveated Rendering with Weighted Reservoir Sampling'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Weighted Reservoir Sampling
100%
Foveated Rendering
100%
Rendering System
40%
Foveation
40%
Perceived Image Quality
40%
Sampling Methods
20%
Spatial Resolution
20%
High Spatial Resolution
20%
Single Point
20%
Saccades
20%
Eccentricity
20%
Fixpoint
20%
Peripheral Vision
20%
Sampling Problems
20%
Current Frame
20%
Microsaccades
20%
High-frequency Details
20%
Rendering Quality
20%
4K Resolution
20%
Landing Position
20%
Highly Efficient
20%
Small Region
20%
Renderer
20%
Integrable
20%
Rendered Images
20%
High-frequency Information
20%
Spatiotemporal Sensitivity
20%
Computer Science
Image Quality
100%
Spatial Resolution
100%
Data Stream
50%
Target Location
50%
Sampling Technique
50%
Frequency Information
50%
Peripheral Vision
50%
Sampling Problem
50%
Neighboring Frame
50%