NIST Technical NoteU.S. Department of Commerce, National Institute of Standards and Technology, 1989 |
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... . B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 . Optical Flow ...... B8.4 . Evaluation ............. 32 .... 34 34 34 .... 37 39 40 40 40 41 42 1. Introduction The telerobot control system architecture discussed in [ iv.
... . B8.2.1 . Intensity and Color ......... B8.2.2 . Texture B8.3 . Optical Flow ...... B8.4 . Evaluation ............. 32 .... 34 34 34 .... 37 39 40 40 40 41 42 1. Introduction The telerobot control system architecture discussed in [ iv.
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1. Introduction The telerobot control system architecture discussed in [ ALBUS87 ] describes a hierarchi- cal framework that has been used to control complex robot systems . It decomposes plans both spatially and temporally to meet ...
1. Introduction The telerobot control system architecture discussed in [ ALBUS87 ] describes a hierarchi- cal framework that has been used to control complex robot systems . It decomposes plans both spatially and temporally to meet ...
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... discussed . ↑ Detection Threshold Spatial Integrator Temporal Integrator Temporal Integrator Temporal Integrator Comparator Comparator Comparator Figure 5. Submodules in the Sensory Processing System . The order of the integrator ...
... discussed . ↑ Detection Threshold Spatial Integrator Temporal Integrator Temporal Integrator Temporal Integrator Comparator Comparator Comparator Figure 5. Submodules in the Sensory Processing System . The order of the integrator ...
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... discussed . Interfaces between the modules , including the operator , have been defined . Appendix A discusses the realtime data enhancement and filtering algorithms capable of being performed in the sensory processing module . Appendix ...
... discussed . Interfaces between the modules , including the operator , have been defined . Appendix A discusses the realtime data enhancement and filtering algorithms capable of being performed in the sensory processing module . Appendix ...
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... discussed in this section . A7.4.1 . Averaging Averaging is a technique for reducing spurious noise in an image . It can be considered to be a special case of low - pass spatial filtering ( see sec . 3.3.4 ) . Averaging can be done as ...
... discussed in this section . A7.4.1 . Averaging Averaging is a technique for reducing spurious noise in an image . It can be considered to be a special case of low - pass spatial filtering ( see sec . 3.3.4 ) . Averaging can be done as ...
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algorithm command algorithm parameters Appendix Architecture Artificial Intelligence averaging binary blurred camera class of algorithms command number Execution Comparator Module Computer Computer Vision Corner Detection described edge detection Engineering enhancement Execution command number Execution module Figure frequency functions Gaithersburg global data system GONZA77 grey level hierarchy High-Pass Filtering histogram IEEE Image Processing input Institute of Standards intensity Job Assignment module Level 1 Job Level 1 Sensory Level 1 Task low-pass Low-Pass Filtering manipulator mask measure methods module receives neighborhood NIST number Execution status object optical flow output performed pixels Planner module Precision requirements Priority preprocessing technique priority level assigned queue Robotics ROSEN82 segmentation selected algorithm sensory processing module sensory processing system SP WM TD spatial integrator specified Standards and Technology step edge surface patch Tactile Task Decomposition interface task decomposition module Telerobot texture threshold value tion update Visual Perception world model global World Modeling Interface
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