THIS PAPER PRESENTS A METHOD TO RECOGNIZE 3-D OBJECTS EFFECTIVELY FOR A ROBOT VISION SYSTEM. THE FEATURE EXTRACTION CAN BE CARRIED OUT BY LESS SAMPLE DATA FROM DISCRETE PROJECTION OF SLIT BEAMS FOR HIGH-SPEED SCANNING. THE OBJECT IS IDENTIFIED BY SEARCHING A MODEL TO MATCH THE DESCRIPTION BASED ON THE BOUNDARY LINES. AS THE RESULT OF THE EXPERIMENT, THE VERTEX POSITIONS AND ANGLES AT THE CORNERS OF THE OBJECT CAN BE EXTRACTED WITH AN ACCURACY OF 1MM AND 2 DEGREES. ALSO, THE OBJECT CAN BE CORRECTLY IDENTIFIED WITH ONE OF THE SEVERAL DIFFERENT MODELS.
| Number of Pages : | 10 |
| Published : | 06/01/1990 |
