Title :
CAD-driven machine vision
Author :
Hoffman, Richard ; Keshavan, H.R. ; Towfiq, Farhad
Author_Institution :
Northrop Res. & Technol. Center, Palos Verdes Peninsula, CA, USA
Abstract :
The authors present two experiments in CAD-driven object identification based on two types of sensor data: intensity images and range images. Both approaches perform object recognition with no special manual training or runtime user interaction. Although both approaches were tested only on single-object images, the intensity image approach may be applicable to multiple-object views
Keywords :
CAD/CAM; computer vision; computerised pattern recognition; computerised picture processing; CAD-driven machine vision; CAD/CAM; computer vision; computerised picture processing; intensity images; multiple-object views; object identification; object recognition; pattern recognition; range images; single-object images; Design automation; Feature extraction; Image sensors; Inspection; Machine vision; Manufacturing; Object recognition; Robot kinematics; Robot sensing systems; Robot vision systems;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
