NDLI: Using full reference image quality metrics to detect game engine artefacts

Please wait, while we are loading the content...

Perception of strength and power of realistic male characters

Analyzing and predicting anisotropic effects of BRDFs

Egocentric distance perception in the Oculus Rift (DK2)

What makes 2D-to-3D stereo conversion perceptually plausible?

Using full reference image quality metrics to detect game engine artefacts

Myo arm: swinging to explore a VE

CG aided makeup design to understand and manipulate the impression of facial look and attractiveness

Avatar preference selection in game design based on color theory

Multimodal perception of material properties

Evoking and assessing vastness in virtual environments

Evaluation of the impact of high frame rates on legibility in S3D film

Evaluating the local visibility of geometric artifacts

The effect of avatar model in stepping off a ledge in an immersive virtual environment

Depth-based subtle gaze guidance in virtual reality environments

Perception of personality through eye gaze of realistic and cartoon models

Sackcloth or silk?: the impact of appearance vs dynamics on the perception of animated cloth

The effects of minification and display field of view on distance judgments in real and HMD-based environments

4-D spatial perception established through hypercube recognition tasks using interactive visualization system with 3-D screen

Automatic target prediction and subtle gaze guidance for improved spatial information recall

Dyadic interactions with avatars in immersive virtual environments: high fiving

Directional thermal perception for wearable device

Remembering the physical as virtual: source confusion and physical interaction in augmented reality

Do cartoons feel pain?: using the virtual hand illusion to test human response to degrees of realism

Evaluating the Uncanny valley with the implicit association test

Improving redirection with dynamic reorientations and gains

Integration and evaluation of emotion in an articulatory speech synthesis system

The effect of interpersonal familiarity on cooperation in a virtual environment

Walking on foot to explore a virtual environment with uneven terrain

Using full reference image quality metrics to detect game engine artefacts

Content Provider	ACM Digital Library
Author	Piórkowski, Rafał Mantiuk, Radosław
Abstract	Contemporary game engines offer an outstanding graphics quality but they are not free from visual artefacts. A typical example is aliasing, which, despite advanced antialiasing techniques, is still visible to the game players. Essential deteriorations are the shadow acne and peter panning artefacts related to deficiency of the shadow mapping technique. Also Z-fighting, caused by the incorrect order of drawing polygons, significantly affects the quality of the graphics and makes the gameplay difficult. These artefacts are laborious to eliminate in an algorithm way because either they require computational effort inadequate to obtained results or visibility of artefacts depends on the ambiguous parameters. In this work we propose a technique, in which visibility of deteriorations is perceptually assessed by human observers. We conduct subjective experiments in which people manually mark the visible local artefacts in the screenshots from the games. Then, the detection maps averaged over a number of observers are compared with results generated by the image quality metrics (IQMs). Simple mathematically-based metric - MSE, and advanced IQMs: S-CIELAB, SSIM, MSSIM, and HDR-VDP-2 are evaluated. We compare convergence in the detection between the maps created by humans and computed by IQMs. The obtained results show that SSIM and MSSIM metrics outperform other techniques. However, the results are not indisputable because, for small and scattered aliasing artefacts, HDR-VDP-2 metrics reports the results most consistent with the average human observer. Notwithstanding, the results suggest that it is feasible to use the IQMs detection maps to leverage and calibrate the rendering algorithms directly based on the analysis of quality of the output images.
Starting Page	83
Ending Page	90
Page Count	8
File Format	PDF
ISBN	9781450338127
DOI	10.1145/2804408.2804414
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Image quality Aliasing Z-fighting Image quality metrics Perceptual experiments Shadow acne Peter panning Game engine artefacts Human perception
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic Detection of Shadow Acne and Peter Panning Artefacts in Computer Games Rafał Piórkowski

Evaluation of 60 full-reference image quality metrics on the CID:IQ

Performance Evaluation of Spatial Filters Using Full-reference Image Quality Metrics

Full reference image quality metrics and their performance

Full-reference and reduced-reference quality metrics based on SIFT

Exploiting perceptual quality issues in countering SIFT-based Forensic methods

Selecting High Quality Frames for Super Resolution Reconstruction Using Perceptual Quality Metrics

Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment

Quality assessment of chromatic variations: A study of Full-Reference and No-Reference Metrics

Using full reference image quality metrics to detect game engine artefacts

Similar Documents

Automatic Detection of Shadow Acne and Peter Panning Artefacts in Computer Games Rafał Piórkowski

Evaluation of 60 full-reference image quality metrics on the CID:IQ

Performance Evaluation of Spatial Filters Using Full-reference Image Quality Metrics

Full reference image quality metrics and their performance

Full-reference and reduced-reference quality metrics based on SIFT

Exploiting perceptual quality issues in countering SIFT-based Forensic methods

Selecting High Quality Frames for Super Resolution Reconstruction Using Perceptual Quality Metrics

Perceptual Gradient Similarity Deviation for Full Reference Image Quality Assessment

Quality assessment of chromatic variations: A study of Full-Reference and No-Reference Metrics

Using full reference image quality metrics to detect game engine artefacts