| Publication Type |
technical report |
| School or College |
College of Engineering |
| Department |
Computing, School of |
| Creator |
Weitz, Eliot M. |
| Title |
2D knowledge based vision system |
| Date |
1987-07 |
| Description |
A knowledge based approach to computer vision provides the needed flexibility for performing recognition and inspection of objects in a complex environment. A system is described which uses knowledge about the environment, sensors, and performance requirements to construct a functional configuration of sensors and algorithms. The system uses and object based approach to synthesize both the analytical model for an object and the executable application system. |
| Type |
Text |
| Publisher |
University of Utah |
| Subject |
computers; visual system; 2-Dimensional; 2-D |
| Subject LCSH |
Computer vision; Optical pattern recognition |
| Language |
eng |
| Bibliographic Citation |
Weitz, E. M. (1987). 2D knowledge based vision system. |
| Series |
University of Utah Computer Science Technical Report |
| Relation is Part of |
ARPANET |
| Format Medium |
application/pdf |
| Format Extent |
201,912 Bytes |
| File Name |
Weitz-2D_Knowledge.pdf |
| Conversion Specifications |
Original scanned with Kirtas 2400 and saved as 400 ppi uncompressed TIFF. PDF generated by Adobe Acrobat Pro X for CONTENTdm display |
| ARK |
ark:/87278/s6x94b9p |
| Setname |
ir_computersa |
| ID |
92502 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6x94b9p |
