EEG Analysis of Implicit Human Visual Perception

Image Based Rendering (IBR) allows interactive scene exploration from images alone. However, despite considerable development in the area, one of the main obstacles to better quality and more realistic visualizations is the occurrence of visually disagreeable artifacts. In this paper we present a methodology to map out the perception of IBR-typical artifacts. This work presents an alternative to traditional image
and video quality evaluation methods by using an EEG device to determine the implicit visual processes in the human brain. Our work demonstrates the distinct differences in the perception of different types of visual artifacts and the implications of these differences.
Video
For more information, please contact the author via email.
Author(s): | Maryam Mustafa, Lea Lindemann, Marcus Magnor |
---|---|
Published: | May 2012 |
Type: | Article in conference proceedings |
Book: | Proc. ACM Human Factors in Computing Systems (CHI) |
Presented at: | ACM Human Factors in Computing Systems (CHI) 2012 |
Project(s): | Reality CG ElectroEncephaloGraphics |
@inproceedings{mustafaCHI2012, title = {{EEG} Analysis of Implicit Human Visual Perception}, author = {Mustafa, Maryam and Lindemann, Lea and Magnor, Marcus}, booktitle = {Proc. {ACM} Human Factors in Computing Systems ({CHI})}, pages = {513--516}, month = {May}, year = {2012} }
Authors
Maryam Mustafa
Fmr. Senior ResearcherLea Lindemann
Fmr. ResearcherMarcus Magnor
Director, Chair