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.
<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.
<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.
<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.
<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 [β5, 5].
<p>The Sigmoid function, where it is clearly demonstrated that the critical value range of is [β5, 5].</p
Efficiency comparison between traditional RANSAC and our algorithm (I).
<p>Efficiency comparison between traditional RANSAC and our algorithm (I).</p
Qualitative and quantitative amalysis on three different algorithms (II).
<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 .
<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.
<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 .
<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