TY - GEN
T1 - Occluded shape (2-D) recognition using edge based features
AU - Bhattacharjee, Sreyasee Das
AU - Das, Sukhendu
AU - Dutta, Amitava
PY - 2008
Y1 - 2008
N2 - This paper presents an algorithm for the recognition of 2-D objects in partially occluded environments. The proposed method uses the edge of an object to represent as well as recognize shapes using partial information. The algorithm is based on detecting significant edge parts exhibiting some distinct features of a shape contour and representing some portions of the contour of an object. A set of connected components are obtained from the query edge image, and each of them is represented in terms of a collection of edge segments. Chamfer matching is used to detect the similarity between a partial edge segment of the query and a portion of an object template. The performance of the proposed method is verified on a large number of query images containing multiple objects from the database with different levels of partial occlusion. These set of query images were artificially generated from the 2-D shapes provided in the MPEG7 database.
AB - This paper presents an algorithm for the recognition of 2-D objects in partially occluded environments. The proposed method uses the edge of an object to represent as well as recognize shapes using partial information. The algorithm is based on detecting significant edge parts exhibiting some distinct features of a shape contour and representing some portions of the contour of an object. A set of connected components are obtained from the query edge image, and each of them is represented in terms of a collection of edge segments. Chamfer matching is used to detect the similarity between a partial edge segment of the query and a portion of an object template. The performance of the proposed method is verified on a large number of query images containing multiple objects from the database with different levels of partial occlusion. These set of query images were artificially generated from the 2-D shapes provided in the MPEG7 database.
UR - https://www.scopus.com/pages/publications/78650760757
U2 - 10.1109/TENCON.2008.4766572
DO - 10.1109/TENCON.2008.4766572
M3 - Conference contribution
AN - SCOPUS:78650760757
SN - 1424424089
SN - 9781424424085
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2008 IEEE Region 10 Conference, TENCON 2008
T2 - 2008 IEEE Region 10 Conference, TENCON 2008
Y2 - 19 November 2008 through 21 November 2008
ER -