Pose Estimation Evaluation of Viewpoint Generative Learning
نویسندگان
چکیده
Object detection and tracking require robustness to camera movements. For this purpose, matching between two images by finding points of correspondence has been recently achieved by using local features. However, the invariance of conventional local features such as SIFT [4] is limited to only scale and rotation changes; they are sensitive to camera movements like tilting. In this talk, we would like to report the accuracy of viewpoint generative learning that achieves robustness to camera movements.
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