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In this paper, we propose a method to improve ego-motion estimation. In the proposed method, feature points from input binocular stereo image pairs are detected using the Speeded Up Robust Features method and descriptor vectors are generated for the features. Semi-Global Matching is then performed to ensure the quality and quantity of the matching features, which are used in conjunctions with camera...
This paper proposes a method to improve egomotion determination using latent semantic indexing for feature description and enhancing feature matching via an adaptive procedure. Binocular stereo images are processed using SURF to obtain feature descriptors, which are analyzed semantically using SVD to generate new feature descriptors. Matching criteria for image pairs are established based on epipolar...
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