Robot Vision: Shadow Illuminator

Posted 13 Jan 2005 at 20:42 UTC by steve Share This

According to an e4engineering story, Intrigue Technologies, a commercial spin-off of the CMU Robotics Insititute, has developed an improved method of image processing for robot vision that greatly reduces the effects of arbitrary, real-world illumination. It allows a robot vision system to use a computational model of brightness perception that is similar to that of the human eye. At present a software simulator is available but they're hard at work on an imaging chip that incorporates the algorithm. At first glance, the results look like those one could obtain with typical image processing methods such as gamma compression or histogram equalization using the Gimp but there are apparently some subtle differences. The work was done by Vladimir Brajovic and other CMU researchers at the Computational Sensor Lab. A more detailed account of how it all works can be found in a research paper by Brajovic titled, Brightness Perception, Dynamic Range and Noise: a Unifying Model for Adaptive Image Sensors (PDF format).

See more of the latest robot news!

Recent blogs

21 Mar 2017 AI4U (Observer)
18 Mar 2017 mwaibel (Master)
25 Feb 2017 steve (Master)
17 Jan 2017 shimniok (Journeyer)
16 Aug 2016 Flanneltron (Journeyer)
9 Jul 2016 evilrobots (Observer)
27 Jun 2016 Petar.Kormushev (Master)
2 May 2016 motters (Master)
6 Nov 2015 wedesoft (Master)
10 Sep 2015 svo (Master)
Share this page