Fast shadows and lighting effects using texture mapping
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
ASSET-2: real-time motion segmentation and object tracking
Real-Time Imaging - Special issue on computer vision motion analysis
Affine Reconstruction of Curved Surfaces from Uncalibrated Views of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Online model reconstruction for interactive virtual environments
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Detection of spatial points and lines by random sampling and voting procedure
Pattern Recognition Letters
Real-Time Consensus-Based Scene Reconstruction Using Commodity Graphics Hardware
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Projective reconstruction from curve correspondences in uncalibrated views
Projective reconstruction from curve correspondences in uncalibrated views
Localizing people in multi-view environment using height map reconstruction in real-time
Pattern Recognition Letters
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The process of 3D reconstruction, or depth estimation, is a complex one, and many methods often have several parameters that may require fine tunning to adapt to the scene and improve reconstruction results. Usability of these methods is directly related to their response time. Epipolar geometry, a fundamental tool used in 3D reconstruction, is commonly computed on the CPU. We propose to take advantage of the advances of graphic cards, to accelerate this process. Projective texturing will be used to transfer a significant part of the computational load from the CPU into the GPU. The new approach will be illustrated in the context of a previously published work for 3D point reconstruction from a set of static images. Test results show that gains of up to two orders of magnitude in terms of computation times can be achieved, when comparing current CPU's and GPU's. We conclude that this leads to an increase in usability of 3D reconstruction methods.