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2010
DOI: 10.1007/978-3-642-13411-1_13
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Efficient Point Projection to Freeform Curves and Surfaces

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Cited by 11 publications
(9 citation statements)
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“…To some extent, the approach avoids fully and truly the sensitivity to the choice of the initial value in those Newton-Raphson iteration related methods. Young-Taek Oh et al [28] used an efficient culling technique to reduce redundant curves and surfaces and proposed an efficient method to project a point to its nearest point on a set of freedom surfaces and curves. Chen et al [29] revised a rational cubic clipping approach to get two bounding cubes within ( ) time, which could get a faster convergence rate.…”
Section: Introductionmentioning
confidence: 99%
“…To some extent, the approach avoids fully and truly the sensitivity to the choice of the initial value in those Newton-Raphson iteration related methods. Young-Taek Oh et al [28] used an efficient culling technique to reduce redundant curves and surfaces and proposed an efficient method to project a point to its nearest point on a set of freedom surfaces and curves. Chen et al [29] revised a rational cubic clipping approach to get two bounding cubes within ( ) time, which could get a faster convergence rate.…”
Section: Introductionmentioning
confidence: 99%
“…The obstacles are defined as convex polytopes, parametric curves, or any other compact set to which minimum distances can be computed, Figure 1. A main feature of the proposed algorithms is their ability to provide proximity queries for a large class of parametric curves, more general than ones that have been considered previously [23,10,6,25,5]. Such queries are useful in scenarios when the motion planner's candidate path (i) incurs a distance-based penalty for approaching close to an obstacle, (ii) must keep a safe distance from an obstacle, or (iii) must not intersect with the obstacle's geometry.…”
Section: Introductionmentioning
confidence: 99%
“…Then, based on clipping sphere strategy, [26] propose a method for computing the minimum distance between a point and a clamped B-spline surface. Being analogous to [25,26], based on an efficient culling technique that eliminates redundant curves and surfaces which obviously contain no projection from the given point, Young-Taek Oh et al (2012) [27] present an efficient algorithm for projecting a given point to its closest point on a family of freeform curves and surfaces. Song et al (2011) [7] propose an algorithm for calculating the orthogonal projection of parametric curves onto B-spline surfaces.…”
Section: Introductionmentioning
confidence: 99%