Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Object recognition by computer: the role of geometric constraints
Object recognition by computer: the role of geometric constraints
The nature of statistical learning theory
The nature of statistical learning theory
IEEE Transactions on Pattern Analysis and Machine Intelligence
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Visual Recognition Using Local Appearance
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Combining greyvalue invariants with local constraints for object recognition
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Dynamic appearance-based vision
Dynamic appearance-based vision
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Visual object recognition is a difficult task when we consider non controlled environments. In order to manage problems like scale, viewing point or occlusions, local representations of objects have been proposed in the literature. In this paper, we develop a novel approach to automatically choose which samples are the most discriminant ones among all the possible local windows of a set of objects. The use of Support Vector Machines for this task have allowed the management of high dimensional data in a robust and founded way. Our approach is tested on a real problem: the recognition of informative panels.