EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Dealing with occlusions in the eigenspace approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
An Insect-Based Approach to Robotic Homing
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Three 2D-warping schemes for visual robot navigation
Autonomous Robots
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Recent biological evidence suggests that position and orientation can be estimated from an adequately compressed set of environment snapshots and their relationships. In this paper we present a pure appearance-based localisation method using an eigenspace representation of panoramic images. We first review several types of rotational invariant representation of panoramic images in terms of their efficiency for an eigenspace-based localisation problem. Then, for each set of images an eigenspace from 25 location snapshots is built and analyzed. We evaluated simple localisation of images not included in the training set. The results show good prospects for the panoramic eigenspace approach.