Transformation of high-dimensional images to a low-dimensional feature space using Eigenimages is a well known technique in the field of face recognition.
Abstract. Transformation of high-dimensional images to a low-dimen- sional feature space using Eigenimages is a well known technique in the.
This paper investigates the applicability of Eigenimages to the task of discriminating several types of robots by their appearance only, and proposes a ...
Transformation of high-dimensional images to a low-dimensional feature space using Eigenimages is a well known technique in the field of face recognition.
Appearance-based robot discrimination using eigenimages ; Erscheinungsdatum: 2007 ; Herausgeber: Springer Verlag ; Enthalten in: Lecture Notes in Computer Science ...
The basic limitations of the standard appearance-based matching methods using eigenimages are nonrobust estimation of coefficients and inability to cope ...
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S. Lange, M. Riedmiller (2006) Appearance Based Robot Discrimination using Eigenimages. In In Proceedings of the RoboCup Symposium 2006 ...
In this paper we present a pure appearance-based localisation method using an eigenspace representa- tion of panoramic images. We first review several types ...
In Experiment 2 we investigate the performance of eigen light-fields with different numbers of images using the PIE database. To compute the recognition ...
Visual place recognition (VPR) aims to help a robot or a vision-based navigation system determine whether it locates in a previously visited place. It is one of ...