How many pixels do we need to see things?

Authors:
Yang Cai
Affiliations:
Human-Computer Interaction Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Venue:
ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Year:
2003

Citing 2
Cited 4

Symmetry as a Continuous Feature

IEEE Transactions on Pattern Analysis and Machine Intelligence
The role of the face in communication: Implications for videophone design

Interacting with Computers

Visual Digest Networks

Digital Human Modeling
Semantic Visual Abstraction for Face Recognition

ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Visual abstraction with culture

Computing with instinct
Human performance in virtual environments

Computing with instinct

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today's computer display devices normally provide more information than we need. In this paper, the author presents an empirical model that shows minimal pixel requirements for computer users to recognize things from digital photos under different contextual conditions. It is found that face recognition alone needs far fewer pixels than people normally thought. However, more pixels are needed for users to recognize objects within outdoor scenes and paintings. Color and age have effect on object recognition but the differences are not significant. The results can be applied to adaptive display design, computer vision, adaptive human-computer interaction and telecommunication system design.