Color constancy for scenes with varying illumination
Computer Vision and Image Understanding - Special issue on physics-based modeling and reasoning in computer vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Using geometric corners to build a 2D mosaic from a set of image
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Complex and photo-realistic scene representation based on range planar segmentation and model fusion
International Journal of Robotics Research
Fast low-memory seamless photo blending on massive point clouds using a streaming framework
Journal on Computing and Cultural Heritage (JOCCH)
Heritage pieces integration in autonomous augmented reality systems: key problems and solutions
VAST'08 Proceedings of the 9th International conference on Virtual Reality, Archaeology and Cultural Heritage
Seamless texture map generation from multiple images
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and automatic), captured color texture maps of the same 3D structures can have very different appearances. When fusing multiple texture maps to create larger models, this color variation leads to poor appearance with patchwork color tilings on homogeneous surfaces. This paper extends previous research on pairwise global color correction to multiple overlapping texture map images. The central idea is to estimate a set of blending transformations that minimize the overall global color discrepancy between the texture maps, thus spreading residual color errors, rather than letting them accumulate.