@InProceedings{Arb98Sys,
  author    = {Tom Arbuckle and Michael Beetz},
  title     = {{RECIPE} - A System for Building Extensible, Run-time Configurable, Image Processing Systems},
  booktitle = {Proceedings of Computer Vision and Mobile Robotics (CVMR) Workshop},
  pages     = {91--98},
  year      = {1998},
  bib2html_pubtype  = {Refereed Conference Paper},
  bib2html_rescat   = {Vision},
  bib2html_groups   = {IAS},
  bib2html_funding  = {ignore},
  bib2html_keywords = {Vision},
  abstract = {This paper describes the design, and implementation of RECIPE, an extensible, run-time
              configurable, image capture and processing system specifically designed for use with robotic
              systems and currently under active development here at Bonn. Robotic systems, particularly
              autonomous robotic systems, present both challenges and opportunities to the implementors of their
              vision systems. On the one hand, robotic systems constrain the vision systems in terms of their
              available resources and in the specific form of the hardware to be employed. On the other hand,
              intelligent processes can employ sensory input to modify the image capture and image processing to
              fit the current context of the robot. RECIPE meets these challenges while facilitating the modular
              development of efficient image processing operations. Implementing all of its functionality
              within a platform and compiler neutral framework as scriptable, active objects which are
              dynamically loaded at run-time, RECIPE provides a common basis for the development of image
              processing systems on robots. At the same time, it permits the image processing operations being
              employed by the robot system to be monitored and adjusted according to all of the sensory
              information available to the robot, encouraging the deployment of efficient, context specific,
              algorithms. Finally, it has been designed to encourage robust, fault-tolerant approaches to the
              action of image processing.}
}