Object Detection Using Contour Fragments
نویسندگان
چکیده
In this paper, we present a novel object detection scheme using contour fragments. The template fragments are extracted by decomposing the template contour. The hinge angle, contour direction and partial Hausdorff distance (PHD) are used to match the fragments in the edge image. Then, the Multiclass Discriminative Field (MDF) is used to select the matches. With these selected matches and their corresponding template fragments, the contours of the objects can be obtained. The experiment on our postmark dataset shows that the proposed scheme is robust to detect a class of objects with different scales, directions and clutter edges.
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