TY  - CHAP
AU  - Agnes Borras
AU  - Josep Llados
PY  - 2007//
TI  - Similarity-Based Object Retrieval Using Appearance and Geometric Feature Combination
T2  - LNCS
BT  - 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:113–120
SP  - 33–39
VL  - 4478
N2  - This work presents a content-based image retrieval system of general purpose that deals with cluttered scenes containing a given query object. The system is flexible enough to handle with a single image of an object despite its rotation, translation and scale variations. The image content is divided in parts that are described with a combination of features based on geometrical and color properties. The idea behind the feature combination is to benefit from a fuzzy similarity computation that provides robustness and tolerance to the retrieval process. The features can be independently computed and the image parts can be easily indexed by using a table structure on every feature value. Finally a process inspired in the alignment strategies is used to check the coherence of the object parts found in a scene. Our work presents a system of easy implementation that uses an open set of features and can suit a wide variety of applications.
SN  - 978-3-540-72848-1
L1  - http://refbase.cvc.uab.es/files/BoL2007a.pdf
UR  - http://dx.doi.org/10.1007/978-3-540-72849-8_5
N1  - DAG;
ID  - Agnes Borras2007
ER  -