Turk, G.: Texture synthesis on surfaces. In: Proc. ACM SIGGRAPH. (2001) 347--354 Home/Search Document Not in Database Summary Related Articles Check |
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Direction Fields over Point-Sampled Geometry - Alexa, Klug, Stoll (2003) (2 citations) (Correct)
....using an RBF scattered data interpolation approach, where distances are determined using Dijkstra s algorithm on the edge graph. Wei and Levoy [WeL01] use a relaxation technique to generate a smooth vector field. The energy functional takes into account different types of symmetries. Turk [Tur01] exploits a multi resolution representation of the mesh and employs a push pull technique to interpolate sparse user information about the vector field. Local frames for point sample geometry have been established in the context of processing operations and scale space representations. Pauly and ....
....The iso contours (red lines in Figure 5) can be obtained by connecting points of the same distance to a discontinuity along several angles. Texture synthesis The calculated directions can be used to generate texture information for the point set surface by using an approach similar to [Tur01,WeL01]. We start in an initial point by assigning a random color from the texture. Selecting the point with the shortest distance to our initial point each step (similar to our method used in the directional field generation) a new color for that point is calculated by generating a NxN texture ....
Turk, G. Texture synthesis on surfaces. Proceedings of S1GGRAPH 2001, 347 354, 2001
Bounded-distortion Piecewise Mesh Parameterization - Sorkine, Cohen-Or.. (2002) (11 citations) (Correct)
....surface flattening, texture mapping, 3D painting 1 Introduction Low distortion parameterization of triangulated surfaces is a fundamental problem in computer graphics. Such parameterizations are essential for operations such as texture mapping [1, 6, 9, 11, 14, 21] texture synthesis on surfaces [17, 19, 20], interactive 3D painting [7] remeshing and multi resolution analysis [2, 8, 18] mesh compression [4, 16] and digital geometry processing [5] Since in 3D computer graphics surfaces are 2D entities (2 manifolds) embedded in 3D space, a parameterization defines a mapping between regions on the ....
Greg Turk. Texture synthesis on surfaces. In Proceedings of ACM SIGGRAPH 2001.
Efficient Simplification of Point-Sampled Surfaces - Pauly, Gross, Kobbelt (2002) (19 citations) (Correct)
....repelling forces (Section 3.3) The choice of the right method, however, depends on the intended application. Real time applications, for instance, will put particular emphasis on efficiency and low memory footprint. Methods for creating surface hierarchies favor specific sampling patterns (e.g. [30]) while visualization applications require accurate preservation of appearance attributes, such as color or material properties. We also present a comparative analysis of the different techniques including aspects such as surface quality, computational and memory overhead, and implementational ....
....closely linked to the sampling distribution of the input model. In some applications this might be desirable, e.g. where the initial sampling pattern carries some semantics such as in geological models. Other applications, e.g. pyramid algorithms for multilevel smoothing [15] or texture synthesis [30], require uniform sampling distributions, even for highly non uniformly sampled input models. Here non adaptive particle simulation is most suitable, as it distributes sample points uniformly and independent of the sampling distribution of the underlying surface. As illustrated in Figure 11, ....
Turk, G. Texture Synthesis on Surfaces. SIGGRAPH 01, 2001
Texture Synthesis over Arbitrary Manifold Surfaces - Wei, Levoy (2001) (20 citations) (Correct)
....be desirable in cases where we would like to preserve the original mesh geometry. In such cases the output can be mapped back onto the original model in a postprocess by resampling, such as in [3] In concurrent work, Turk has developed a similar approach for synthesizing textures over surfaces [24]. The primary differences between [24] and our work are as follows: 1) we have used random as well as symmetric vector fields for certain textures, whereas [24] always creates a smooth vector field, 2) instead of a sweeping order, we visit mesh vertices in random order, 3) the two approaches ....
....like to preserve the original mesh geometry. In such cases the output can be mapped back onto the original model in a postprocess by resampling, such as in [3] In concurrent work, Turk has developed a similar approach for synthesizing textures over surfaces [24] The primary differences between [24] and our work are as follows: 1) we have used random as well as symmetric vector fields for certain textures, whereas [24] always creates a smooth vector field, 2) instead of a sweeping order, we visit mesh vertices in random order, 3) the two approaches use different methods for constructing ....
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G. Turk. Texture synthesis on surfaces. Proceedings of SIGGRAPH
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