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2010
Conference Paper
Titel
Object retrieval based on user-drawn sketches
Abstract
Sketches drawn by users are one of the most intuitive forms of Human Computer Interaction. Users can easily express their intention by sketching simple hand-drawn lines. In this paper, we consider the problem of target object detection and retrieval from a query by a sketch which is not in the database. Our novel approach consists of three steps: (1) Preprocessing to extract the skeletal features from a sketched query using size normalization, labelling, and binarization, (2) Skeletal feature extraction of query and data images in the space of diffusion tensor fields, and (3) Similarity measure using tensorial information between sketched query and database to retrieve the most similar target object in database. Experiments are conducted to evaluate the performance of our methodology, which shows to be an efficient and mature retrieval system.
Author(s)