TON: Curve Network Abstraction for 3D Shapes Fernando de Goesa,∗ , Siome Goldensteinb , Mathieu Desbruna , Luiz Velhoc aCalifornia Institute of Technology, Pasadena, CA 91125, US...
Fernando de Goes, Siome Goldenstein, Mathieu Desbr...
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
3?D shape recovery of non-rigid surfaces from 3?D to 2?D correspondences is an under-constrained problem that requires prior knowledge of the possible deformations. State-of-the-a...
Orthogonal range reporting is the problem of storing a set of n points in d-dimensional space, such that the k points in an axis-orthogonal query box can be reported efficiently. ...
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...