| Publication Type |
technical report |
| School or College |
College of Engineering |
| Department |
Computing, School of |
| Creator |
Wu, So Fai |
| Title |
A framework for multi-sensor integration and data acquisition |
| Date |
1983-08 |
| Description |
This thesis investigates and implements a framework for multi-sensor integration and data acquisition operating in the context of a robot workstation equipped with both contact and noncontact sensors. An appropriate low-level representation of raw data supplied by various sensors is developed. We propose the spacial proximity graph as a means to describe spatial relations between features of three-dimensional objects. We also examine two high-level modeling techniques, feature models, and the Hough shape transform. |
| Type |
Text |
| Publisher |
University of Utah |
| Subject |
computers; Spatial proximity graph; 3-D data; object recognition |
| Subject LCSH |
Optical data processing; Optical pattern recognition; Robots, Industrial |
| Language |
eng |
| Bibliographic Citation |
Wu, SF. (1983). A framework for multi-sensor integration and data acquisition. |
| Series |
University of Utah Computer Science Technical Report |
| Relation is Part of |
ARPANET |
| Format Medium |
application/pdf |
| Format Extent |
165,539 Bytes |
| File Name |
Wu-A_Framework_For_Multisensor.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/s6j40sk0 |
| Setname |
ir_computersa |
| ID |
94984 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6j40sk0 |
