Chen-Chi Chuang

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Image feature-based ego-motion estimation has been dominating the development of visual odometry (VO) visual simultaneously localisation and mapping (V-SLAM) and structure-from-motion (SfM) for several years. The detection extraction or representation of image features play crucial roles when solving camera pose estimation problems in terms of accuracy and(More)
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,(More)
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