Camera settings for dimensional inspection using displacement and quantization errors

An important aspect of inspection planning involves determining camera poses based on some criterion. We seek to find camera poses where the effects of displacement and quantization errors are minimal. The mean squared error is formulated, including all dependencies, and minimized to determine an optimal camera pose that satisfies the sensor constraints of resolution, focus, field-of-view, and visibility. Dimensional tolerances for line entities are also formulated and exploited to determine the acceptability of a given camera pose for all entities observed.

Authors

• Kevin L. Crosby
• Christopher C. Yang
• Frank W. Ciarallo
• Michael M. Marefat

Keywords

• Cameras
• Inspection
• Quantization
• Flowcharts
• NASA
• Ice
• Lighting control
• Machine vision
• Sensor phenomena and characterization
• Quantization Error
• Displacement Error
• Dimensional Inspection
• Degrees Of Freedom
• Mean Square Error
• Error Variance
• Image Plane
• Focal Length
• Nonlinear Programming
• Osteopontin
• Line Segment
• Minimum Mean
• Total Error
• Minimum Mean Square Error
• Set Of Sensors
• Camera Pose
• World Coordinate System
• Camera Coordinate