Visual reconstruction
Integration of visual modules: an extension of the Marr paradigm
Integration of visual modules: an extension of the Marr paradigm
Artificial Intelligence
Direct estimation of local surface shape in a fixating binocular vision system
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Modeling visual attention via selective tuning
Artificial Intelligence - Special volume on computer vision
Dynamic fixation and active perception
International Journal of Computer Vision - Special issue: machine vision research at the Royal Institute of Technology
Data Fusion for Sensory Information Processing Systems
Data Fusion for Sensory Information Processing Systems
Integrating Primary Ocular Processes
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Active stereo tracking of N ≤ 3 targets using line scan cameras
IEEE Transactions on Robotics
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Active vision involves processes for stabilisation and fixation on objects of interest. To provide robust performance for such processes it is necessary to consider integration and processing as closely coupled processes. In this paper we discuss methods for integration of cues and present a unified architecture for active vision. The performance of the approach is illustrated by a few examples.