Back to articles
Articles
Volume: 31 | Article ID: art00003
Image
Contrast detection probability - Implementation and use cases
  DOI :  10.2352/ISSN.2470-1173.2019.15.AVM-030  Published OnlineJanuary 2019
Abstract

The automotive industry formed the initiative IEEE-P2020 to jointly work on key performance indicators (KPIs) that can be used to predict how well a camera system suits the use cases. A very fundamental application of cameras is to detect object contrasts for object recognition or stereo vision object matching. The most important KPI the group is working on is the contrast detection probability (CDP), a metric that describes the performance of components and systems and is independent from any assumptions about the camera model or other properties. While the theory behind CDP is already well established, we present actual measurement results and the implementation for camera tests. We also show how CDP can be used to improve low light sensitivity and dynamic range measurements.

Subject Areas :
Views 79
Downloads 45
 articleview.views 79
 articleview.downloads 45
  Cite this article 

Uwe Artmann, Marc Geese, Max Gäde, "Contrast detection probability - Implementation and use casesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Autonomous Vehicles and Machines Conference,  2019,  pp 30-1 - 30-13,  https://doi.org/10.2352/ISSN.2470-1173.2019.15.AVM-030

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA