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@article{143753,
        author = {Foram N Patel and Neha Parmar},
        title = {video mosaicing},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {1},
        pages = {242-248},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143753},
        abstract = {Video Mosaicing is well thought-out as an active research area in computer vision and computer graphics. Video mosaicing is define as a video processing technique in which multiple images-frames are combined into a composite image that covers, more seamless and a larger view than the field of view of the compact camera. There are two main types of techniques used for creating mosaics: direct methods and featurebased methods. The greatest advantages of feature-based methods are Can Handle large disparities, Convergence, more accurate.  For reliable performance direct methods rely on feature based initialization. We compared the performance of our proposed system with other fast feature-based techniques. We will do a comparative result between all those detectors according to similarity transformation problem, SURF algorithm for feature extraction, Image blending and wrapping are used.},
        keywords = {mosaicing,  feature based method, SURF, similarity transform.},
        month = {},
        }