Affine invariant model-based object recognition
IEEE Transactions on Robotics and Automation1990Vol. 6(5), pp. 578–589
Citations Over TimeTop 10% of 1990 papers
Abstract
New techniques are described for model-based recognition of the objects in 3-D space. The recognition is performed from single gray-scale images taken from unknown viewpoints. The objects in the scene may be overlapping and partially occluded. An efficient matching algorithm, which assumes affine approximation to the prospective viewing transformation, is proposed. The algorithm has an offline model preprocessing (shape representation) phase which is independent of the scene information and a recognition phase based on efficient indexing. It has a straightforward parallel implementation. The algorithm was successfully tested in recognition of industrial objects appearing in composite occluded scenes.>
Related Papers
- Object Recognition using SIFT(2014)
- Three-Dimensional Object Recognition Systems(1993)
- Research on visual recognition methods of human-object interaction(2012)
- The Matching Algorithm using Block Segmentation for Object Recognition(2008)
- → 3D Object Recognition Based on Machine Vision(2012)