| ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
L. Paletta and M. Prantl and A. Pinz
ABSTRACT
Active object recognition is a successful strategy to reduce uncertainty of single view recognition, by planning sequences of views, actively obtaining these views, and integrating multiple recognition results. Understanding recognition as a sequential decision problem challenges the visual agent to select discriminative information sources. The presented system emphasizes the importance of temporal context in disambiguating initial object hypotheses, provides the corresponding theory for Bayesian fusion processes, and demonstrates its performance being superior to alternative view planning schemes. Instance based learning proposed to estimate the control function enables then realtime processing with improved performance characteristics. |
|
| Site generated on Friday, 06 January 2006
|