RECIPE - A System for Building Extensible, Run-time Configurable, Image Processing Systems (bibtex)
by T Arbuckle and M Beetz
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.
Reference:
RECIPE - A System for Building Extensible, Run-time Configurable, Image Processing Systems (T Arbuckle and M Beetz), In Proceedings of Computer Vision and Mobile Robotics (CVMR) Workshop, 1998. 
Bibtex Entry:
@inproceedings{arbuckle_recipe_1998,
 author = {T Arbuckle and M Beetz},
 title = {{RECIPE} - A System for Building Extensible, Run-time Configurable,
	Image Processing Systems},
 booktitle = {Proceedings of Computer Vision and Mobile Robotics ({CVMR)} Workshop},
 year = {1998},
 pages = {91–98},
 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.},
}
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RECIPE - A System for Building Extensible, Run-time Configurable, Image Processing Systems (bibtex)
RECIPE - A System for Building Extensible, Run-time Configurable, Image Processing Systems (bibtex)
by T Arbuckle and M Beetz
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.
Reference:
RECIPE - A System for Building Extensible, Run-time Configurable, Image Processing Systems (T Arbuckle and M Beetz), In Proceedings of Computer Vision and Mobile Robotics (CVMR) Workshop, 1998. 
Bibtex Entry:
@inproceedings{arbuckle_recipe_1998,
 author = {T Arbuckle and M Beetz},
 title = {{RECIPE} - A System for Building Extensible, Run-time Configurable,
	Image Processing Systems},
 booktitle = {Proceedings of Computer Vision and Mobile Robotics ({CVMR)} Workshop},
 year = {1998},
 pages = {91–98},
 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.},
}
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