Abstract. This paper presents a novel and efficient method for locating deformable shapes in cluttered scenes. The shapes to be detected may undergo arbitrary translational and rot...
Object recognition and content-based image retrieval systems rely heavily on the accurate and efficient identification of shapes. A fundamental requirement in the shape analysis p...
Dragomir Yankov, Eamonn J. Keogh, Li Wei, Xiaopeng...
—Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to properly index and recover pictorial data. Retriev...
Abstract. We introduce a shape detection framework called Contour Context Selection for detecting objects in cluttered images using only one exemplar. Shape based detection is inva...
Using a low-level representation of images, like matching pursuit, we introduce a new way of describing objects through a general description using a translation, rotation, and is...