The information available to a moving observer from specularities
Image and Vision Computing - 4th Alvey Vision Meeting
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Curves and surfaces for CAGD: a practical guide
Curves and surfaces for CAGD: a practical guide
The Visual Hull Concept for Silhouette-Based Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Analysis for 3D Reconstruction of Specular Surfaces - Part II
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Hi-index | 0.00 |
In this paper a method for reconstructing a specular surface from an image sequence is presented. It is based on tracking both feature points and specularities through the sequence. The feature points are used to calculate the motion of the camera and provide depth information for some points on the boundary of the surface. The specularities give constraints on the surface normal and these constraints are complemented by a smoothness condition in order to estimate the surface shape. The smoothness measure is based on minimizing the surface curvature and a spline representation of the surface is used in the optimization step. Using the proposed method it is possible to reconstuct completely textureless smoth surfaces. This is shown in both simulated and real experiments.