In this paper, we present a method to increase the robustness and the efficiency of template-based object matching. Instead of preparing templates of various scales and deformations, we use only one template and transform the appearance of the target object by placing a virtual camera seeing a very similar appearance to the template. This approach can solve the chronic problem of scale-dependence and distortion in the conventional template matching, and therefore be applied to the object detection and alignment tasks of general camera configuration systems. The proposed method has shown a good performance in the application of the service robot, Vistro, which attended the Robot Grand Challenge 2009 in Pohang, Korea.
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|저 자||Jiyoung Jung, Yekeun Jeong, Joon-Young Lee, In So Kweon|
|학 회||16th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)|