Name
Abstract | ||
|---|---|---|
An approach is described that integrates multiple visual sensing methodologies that yield three-dimensional information. The current system integrates feature-based stereo algorithms with various shape-from-texture algorithms. Unlike most systems for multisensor integration, that fuse all the information at one conceptual level, e.g., the surface level, the system under development uses two levels of data fusion: intraprocess integration and interprocess integration. Intraprocess integration techniques for feature-based stereo and shape-from-texture algorithms are briefly discussed. The authors also discuss an interprocess integration technique for fusing feature-based stereo and shape-from-texture based on smooth models of surfaces. Examples are presented using camera-acquired images |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1109/CVPR.1988.196285 | CVPR |
Keywords | Field | DocType |
computerised pattern recognition,computerised picture processing,information theory,3d information,camera-acquired images,data fusion,feature-based stereo algorithms,interprocess integration,intraprocess integration,multiple shape-from-texture cues,multiple visual sensing,stereo images,artificial intelligence,system integration,three dimensional,robustness,computer science,surface texture,computational complexity,system testing,shape,fuses | Information theory,Computer vision,Pattern recognition,Computer science,System testing,Robustness (computer science),Sensor fusion,Artificial intelligence,Fuse (electrical),Computational complexity theory | Conference |
Volume | Issue | ISSN |
1988 | 1 | 1063-6919 |
Citations | PageRank | References |
3 | 0.48 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moerdler, M.L. | 1 | 3 | 0.48 |
| Terrance E. Boult | 2 | 1901 | 223.30 |