Object Recognition Using Local Context Information
Pp. 103-118 (16)
Nong Sang and Changxin Gao
The object recognition method based on local features is significant in computer vision. However, the
robustness of this method is limited, since it is often sensitive to large intra-class variance, occlusion, insignificant
variety of poses, low-revolution conditions, background clutter etc. Context information gives an access to
resolve this problem. Local feature context, object context and scene context can be used in computer vision
system. This chapter focuses on the first one, and presents two object recognition approaches with two different
types of local context: neighbour-based context and geometric context. Our experimental results demonstrated the
good performance of our methods.
Object recognition, neighbor-based context, geometric context, part-based representation, keypoints.
Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China.