A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
High-Quality Texture Reconstruction from Multiple Scans
IEEE Transactions on Visualization and Computer Graphics
Complete Dense Stereovision Using Level Set Methods
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
ACM SIGGRAPH 2006 Papers
Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
International Journal of Computer Vision
Capturing and animating occluded cloth
ACM SIGGRAPH 2007 papers
Poisson surface reconstruction
SGP '06 Proceedings of the fourth Eurographics symposium on Geometry processing
FlexiStickers: photogrammetric texture mapping using casual images
ACM SIGGRAPH 2009 papers
Towards plenoptic raumzeit reconstruction
Proceedings of the 2010 international conference on Video Processing and Computational Video
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Reprojection of texture issued from cameras on a mesh estimated from multi-view reconstruction is often the last stage of the pipeline, used for rendering, visualization, or simulation of new views. Errors or imprecisions in the recovered 3D geometry are particularly noticeable at this stage. Nevertheless, it is sometimes desirable to get a visually correct rendering in spite of the inaccuracy in the mesh, when correction of this mesh is not an option, for example if the origin of error in the stereo pipeline is unknown, or if the mesh is a visual hull. We propose to apply slight deformations to the data images to fit at best the fixed mesh. This is done by intersecting rays issued from corresponding interest points in different views, projecting the resulting 3D points on the mesh and reprojecting these points on the images. This provides a displacement vector at matched interest points in the images, from which an approximating full distortion vector field can be estimated by thin-plate splines. Using the distorted images as input in texturing algorithms can result in noticeably better rendering, as demonstrated here in several experiments.