Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Spherical Stereo for the Construction of Immersive VR Environment
VR '05 Proceedings of the 2005 IEEE Conference 2005 on Virtual Reality
Structure from Motion with Wide Circular Field of View Cameras
IEEE Transactions on Pattern Analysis and Machine Intelligence
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Web-based 3D Reconstruction Service
Machine Vision and Applications
SBA: A software package for generic sparse bundle adjustment
ACM Transactions on Mathematical Software (TOMS)
ASIFT: A New Framework for Fully Affine Invariant Image Comparison
SIAM Journal on Imaging Sciences
An analysis-by-synthesis camera tracking approach based on free-form surfaces
Proceedings of the 29th DAGM conference on Pattern recognition
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Building Rome on a cloudless day
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Robust point matching in HDRI through estimation of illumination distribution
DAGM'11 Proceedings of the 33rd international conference on Pattern recognition
Lens model selection for visual tracking
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
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The generation of virtual models of cultural heritage assets is of high interest for documentation, restoration, development and promotion purposes. To this aim, non-invasive, easy and automatic techniques are required. We present a technology that automatically reconstructs large scale scenes from panoramic, high-resolution, spherical images. The advantage of the spherical panoramas is that they can acquire a complete environment in one single image. We show that the spherical geometry is more suited for the computation of the orientation of the panoramas (Structure from Motion) than the standard images, and introduce a generic error function for the epipolar geometry of spherical images. We then show how to produce a dense representation of the scene with up to 100 million points, that can serve as input for meshing and texturing software or for computer aided reconstruction. We demonstrate the applicability of our concept with reconstruction of complex scenes in the scope of cultural heritage documentation at the Chinese National Palace Museum of the Forbidden City in Beijing.