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T-splines and T-NURCCs
TLDR
A generalization of non-uniform B-spline surfaces called T-splines, which are C2 (in the absence of multiple knots), and T-NURCCs (Non-Uniform Rational Catmull-Clark Surfaces with T-junctions) are a superset of both T- Splines and Catm Mull-Clark surfaces, which can handle any NURBS or CatmULL-Clark model as special cases. Expand
T-spline simplification and local refinement
A typical NURBS surface model has a large percentage of superfluous control points that significantly interfere with the design process. This paper presents an algorithm for eliminating suchExpand
On linear independence of T-spline blending functions
This paper shows that, for any given T-spline, the linear independence of its blending functions can be determined by computing the nullity of the T-spline-to-NURBS transform matrix. The paperExpand
Non-uniform recursive subdivision surfaces
TLDR
Rules are developed that generalize non-uniform tensor product Bspline surfaces to arbitrary topologies, which allows the natural introduction of features such as cusps, creases, and darts, while elsewhere maintaining the same order of continuity as their uniform counterparts. Expand
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
TLDR
This paper proposes a constrained random walks algorithm that facilitates the use of three types of user inputs: 1) foreground and background seed input, 2) soft constraint input, and 3) hard constraintinput, as well as their combinations. Expand
T-spline simplification and local refinement
TLDR
An algorithm for eliminating superfluous control points, producing a T-spline, which can remove substantially more control points than competing methods such as B- Spline wavelet decomposition is presented. Expand
Robust Interactive Image Segmentation Using Convex Active Contours
TLDR
A robust and accurate interactive method based on the recently developed continuous-domain convex active contour model that exhibits many desirable properties of an effective interactive image segmentation algorithm, including robustness to user inputs and different initializations, and the ability to produce a smooth and accurate boundary contour. Expand
CNN-Based Real-Time Dense Face Reconstruction with Inverse-Rendered Photo-Realistic Face Images
TLDR
A novel face data generation method that can produce high-quality reconstruction but with much less computation time compared to the state-of-the-art, and is robust to pose, expression and lighting due to the diversity of data. Expand
Variational mesh decomposition
TLDR
A variational mesh decomposition algorithm that can efficiently partition a mesh into a prescribed number of segments is presented that outperforms competitive segmentation methods when evaluated on the Princeton Segmentation Benchmark. Expand
Least squares methods for solving differential equations using Bézier control points
This paper investigates the use of the control points of the Bernstein-Bezier form for numerically solving differential equations. Two least squares type schemes based on degree raising andExpand
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