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This paper introduces a novel method, which utilizes local appearance descriptions in a more efficient way, for 3D object recognition. Geometrically consistent local features are identified using affine 3D and 2D geometric invariants, without any reliance on partial or global planarity. Geometric invariants replace the traditional, highly constrained 2D affine transform estimation/verification step,...
Applications such as robotics and augmented reality (AR) require 3D tracking of rigid objects. In robotic applications, the availability of accurate and robust pose estimates increases reliability, whereas in AR scenarios reliable pose estimates decrease jitter. Pure vision sensor based 3D trackers require either manual initializations of pose or off-line training stages. On the other hand, trackers...
A novel scene recognition method that utilizes local appearance descriptions together with geometrical invariants for multiview scene matching is presented in this paper. The rationale behind this effort is to complement the lowered discriminative capacity of local features, with invariant geometric descriptions. Presented method is evaluated by comparison with a prominent baseline method, which utilizes...
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