Robust photometric invariant features from the color tensor - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Image Processing Année : 2006

Robust photometric invariant features from the color tensor

Résumé

Luminance-based features are widely used as low-level input for computer vision applications, even when color data is available. The extension of feature detection to the color domain prevents information loss due to isoluminance and allows us to exploit the photometric information. To fully exploit the extra information in the color data, the vector nature of color data has to be taken into account and a sound framework is needed to combine feature and photometric invariance theory. In this paper, we focus on the structure tensor, or color tensor, which adequately handles the vector nature of color images. Further, we combine the features based on the color tensor with photometric invariant derivatives to arrive at photometric invariant features. We circumvent the drawback of unstable photometric invariants by deriving an uncertainty measure to accompany the photometric invariant derivatives. The uncertainty is incorporated in the color tensor, hereby allowing the computation of robust photometric invariant features. The combination of the photometric invariance theory and tensor-based features allows for detection of a variety of features such as photometric invariant edges, corners, optical flow, and curvature. The proposed features are tested for noise characteristics and robustness to photometric changes. Experiments show that the proposed features are robust to scene incidental events and that the proposed uncertainty measure improves the applicability of full invariants.
Fichier principal
Vignette du fichier
TensorColorIP-2.pdf (488.98 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00548599 , version 1 (06-01-2011)

Identifiants

Citer

Joost van de Weijer, Theo Gevers, Arnold Smeulders. Robust photometric invariant features from the color tensor. IEEE Transactions on Image Processing, 2006, 15 (1), pp.118--127. ⟨10.1109/TIP.2005.860343⟩. ⟨inria-00548599⟩
150 Consultations
449 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More