Emerging Images

Niloy J. Mitra, Hung Kuo Chu, Tong Yee Lee, Lior Wolf, Hezy Yeshurun, Daniel Cohen-Or

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Emergence refers to the unique human ability to aggregate information from seemingly meaningless pieces, and to perceive a whole that is meaningful. This special skill of humans can constitute an effective scheme to tell humans and machines apart. This paper presents a synthesis technique to generate images of 3D objects that are detectable by humans, but difficult for an automatic algorithm to recognize. The technique allows generating an infinite number of images with emerging figures. Our algorithm is designed so that locally the synthesized images divulge little useful information or cues to assist any segmentation or recognition procedure. Therefore, as we demonstrate, computer vision algorithms are incapable of effectively processing such images. However, when a human observer is presented with an emergence image, synthesized using an object she is familiar with, the figure emerges when observed as a whole. We can control the difficulty level of perceiving the emergence effect through a limited set of parameters. A procedure that synthesizes emergence images can be an effective tool for exploring and understanding the factors affecting computer vision techniques.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalACM Transactions on Graphics
Volume28
Issue number5
DOIs
Publication statusPublished - 2009 Dec 1

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design

Fingerprint Dive into the research topics of 'Emerging Images'. Together they form a unique fingerprint.

Cite this