Active Object Recognition Integrating Attention and Viewpoint Control
Abstract
We present an active object recognition strategy which combines the use of an attention mechanism for focusing the search for a 3-D object in a 2-D image, with a viewpoint control strategy for disambiguating recovered object features. The attention mechanism consists of a probabilistic search through a hierarchy of predicted feature observations, taking objects into a set of regions classified according to the shapes of their bounding contours. If the features recovered during the attention phase do not provide a unique mapping to the 3-D object being searched, the probabilistic feature hierarchy can be used to guide the camera to a new viewpoint from where the object can be disambiguated.
Cite
Text
Dickinson et al. "Active Object Recognition Integrating Attention and Viewpoint Control." European Conference on Computer Vision, 1994. doi:10.1007/BFB0028330Markdown
[Dickinson et al. "Active Object Recognition Integrating Attention and Viewpoint Control." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/dickinson1994eccv-active/) doi:10.1007/BFB0028330BibTeX
@inproceedings{dickinson1994eccv-active,
title = {{Active Object Recognition Integrating Attention and Viewpoint Control}},
author = {Dickinson, Sven J. and Christensen, Henrik I. and Tsotsos, John K. and Olofsson, Göran},
booktitle = {European Conference on Computer Vision},
year = {1994},
pages = {3-14},
doi = {10.1007/BFB0028330},
url = {https://mlanthology.org/eccv/1994/dickinson1994eccv-active/}
}