Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Proceedings
Publisher : SpringerLink
Source : Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014,Advances in Intelligent Systems and Computing,Vol. 327, 2015, pp 503-510
Url : https://link.springer.com/chapter/10.1007/978-3-319-11933-5_56
Campus : Coimbatore
School : School of Computing
Year : 2014
Abstract : A dense two-frame stereo matching technique generally uses an image pair as input in addition to the knowledge of disparity range. For realtime computer vision systems, however, there is lots of information that can enhance stereo-correspondence, e.g. feature points. Feature correspondence is essential for computer vision applications that require structure and motion recovery. For these applications, disparity of reliable feature points can be used in stereo-matching to produce better disparity images. Our proposed approach deals with adding the feature correspondences effectively to dense two-frame stereo correspondence framework. The experimental results show that the proposed approach produces better result compared to that of the original algorithm RecursiveBF
Cite this Research Publication : Sonu Thomas, Suresh Yerva, Swapna T.R ,A Novel Approach for StereoMatching based on Feature correspondence, Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014,Advances in Intelligent Systems and Computing,Vol. 327, 2015, pp 503-510