2020
DOI: 10.1016/j.cag.2020.07.006
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Content-aware texture deformation with dynamic control

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Cited by 5 publications
(3 citation statements)
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References 26 publications
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“…Each vertex on the mesh corresponds to a pixel of each vertex that is re-projected onto the image (in the actual solution process, both the vertical grid line and the horizontal grid line corresponding to the grid point can be projected onto the image to find the intersection point on the image). The color information of the point on the image is obtained to form a texture image [12]. The coordinate value of the thinned image point is usually a floating point number.…”
Section: 𝐼 = 𝑡ℎ𝑟𝑒𝑠ℎ (𝑆 𝑓 (𝑓))mentioning
confidence: 99%
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“…Each vertex on the mesh corresponds to a pixel of each vertex that is re-projected onto the image (in the actual solution process, both the vertical grid line and the horizontal grid line corresponding to the grid point can be projected onto the image to find the intersection point on the image). The color information of the point on the image is obtained to form a texture image [12]. The coordinate value of the thinned image point is usually a floating point number.…”
Section: 𝐼 = 𝑡ℎ𝑟𝑒𝑠ℎ (𝑆 𝑓 (𝑓))mentioning
confidence: 99%
“…Assumed that represents the rotation angle of image coordinates, 𝛿(𝑗) represent the density value of curve points, use formula (12) to switch cameras according to points with equal arc length and roaming speed to complete real-time roaming of 3D animation scene:…”
Section: Real-time Roaming Of 3d Animation Scenementioning
confidence: 99%
“…Their approaches added additional color information to the mesh surface. Guingo et al 25 proposed an approach to model and control texture deformations. Prada et al 26 presented a framework to process a signal directly in a texture atlas domain.…”
Section: Related Workmentioning
confidence: 99%