Embedded Visual System And Its Applications On Robots

Indexed in: Scopus

Embedded vision systems such as smart cameras have been rapidly developed recently. Vision systems have become smaller and lighter, but their performance has improved. The algorithms in embedded ...
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Object Recognition Using Local Context Information

Pp. 103-118 (16)

Nong Sang and Changxin Gao

Abstract

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.

Keywords:

Object recognition, neighbor-based context, geometric context, part-based representation, keypoints.

Affiliation:

Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China.