title: A modified shape context method for shape based object retrieval.
abstract: The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in computing the distribution is discussed. Role of similarity checking the procedure details regarding the computation of matching errors through the alignment transform are discussed. Present case of shape context (for each point with respect to the centroid) descriptor is testified for its invariance to translation, rotation and scaling operations. Euclidean distance is used during the similarity matching. Modified shape context based descriptor is experimented over three standard databases. The results evidence the relative efficiency of the modified shape context based descriptor than that reported for other descriptor of concurrent interests.
authors.affiliation: Department of CSE, Pragati Engineering College, Surampalem, AP 533437 India.
authors.forename: Radhika Mani
authors.initials: RM
authors.lastname: Madireddy
authors.affiliation: Department of IT, SRKR Engineering College, Bhimavaram, AP 534204 India.
authors.forename: Pardha Saradhi Varma
authors.initials: PS
authors.lastname: Gottumukkala
authors.affiliation: Department of Physics, Jawaharlal Nehru Technological University Kakinada, Kakinada, AP 533003 India.
authors.forename: Potukuchi Dakshina
authors.initials: PD
authors.lastname: Murthy
authors.affiliation: Department of CSE, Jawaharlal Nehru Technological University Kakinada, Kakinada, AP 533003 India.
authors.forename: Satyanarayana
authors.initials: S
authors.lastname: Chittipothula
keywords: Distance measure; Feature extraction; Object recognition; Shape representation