16 research outputs found

    Experiments on the entire image-stitching algorithm (II): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.

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    <p>Experiments on the entire image-stitching algorithm (II): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.</p

    The second experiment on the corner matching efficiency: (a) Selected corners (using our algorithm) from two original images; (b) Corner matching by traditional RANSAC algorithm (NCC rough match); (c) Initial set of matching-corner pairs in our algorithm; (d) Final set of matching-corner pairs in our algorithm.

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    <p>The second experiment on the corner matching efficiency: (a) Selected corners (using our algorithm) from two original images; (b) Corner matching by traditional RANSAC algorithm (NCC rough match); (c) Initial set of matching-corner pairs in our algorithm; (d) Final set of matching-corner pairs in our algorithm.</p

    Experiments on the entire image-stitching algorithm (IV): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.

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    <p>Experiments on the entire image-stitching algorithm (IV): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.</p

    Experiments on the entire image-stitching algorithm (V): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.

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    <p>Experiments on the entire image-stitching algorithm (V): (a) Video image 1; (b) Video image 2 (reference image); (c) Video image 3; (d) Generated video panoramic image.</p

    The Sigmoid function, where it is clearly demonstrated that the critical value range of is [βˆ’5, 5].

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    <p>The Sigmoid function, where it is clearly demonstrated that the critical value range of is [βˆ’5, 5].</p

    Efficiency comparison between traditional RANSAC and our algorithm (I).

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    <p>Efficiency comparison between traditional RANSAC and our algorithm (I).</p

    Qualitative and quantitative amalysis on three different algorithms (II).

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    <p>Qualitative and quantitative amalysis on three different algorithms (II).</p

    Two initially matching-corner pairs, and , along with their respective midpoints: between and and between and .

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    <p>Two initially matching-corner pairs, and , along with their respective midpoints: between and and between and .</p

    The first experiment on the corner matching efficiency: (a) Selected corners (using our algorithm) from two original images; (b) Corner matching by traditional RANSAC algorithm (NCC rough match); (c) Initial set of matching-corner pairs in our algorithm; (d) Final set of matching-corner pairs in our algorithm.

    No full text
    <p>The first experiment on the corner matching efficiency: (a) Selected corners (using our algorithm) from two original images; (b) Corner matching by traditional RANSAC algorithm (NCC rough match); (c) Initial set of matching-corner pairs in our algorithm; (d) Final set of matching-corner pairs in our algorithm.</p

    Experiments on corner selection: (a) Original image; (b) Harris detector; (c) The regional corner-selection algorithm; (d) Our algorithm with ; (e) Our algorithm with ; (f) Our algorithm with .

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    <p>Experiments on corner selection: (a) Original image; (b) Harris detector; (c) The regional corner-selection algorithm; (d) Our algorithm with ; (e) Our algorithm with ; (f) Our algorithm with .</p
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