The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Seamless texture mapping of subdivision surfaces by model pelting and texture blending
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Using Photo-Consistency to Register 2D Optical Images of the Human Face to a 3D Surface Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Smoothing an overlay grid to minimize linear distortion in texture mapping
ACM Transactions on Graphics (TOG)
Conformal Surface Parameterization for Texture Mapping
IEEE Transactions on Visualization and Computer Graphics
Texture Mapping Using Surface Flattening via Multidimensional Scaling
IEEE Transactions on Visualization and Computer Graphics
Multiresolution Texture for Photorealistic Rendering
SCCG '01 Proceedings of the 17th Spring conference on Computer graphics
The Great Buddha Project: Modeling Cultural Heritage for VR Systems through Observation
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Registration of an Uncalibrated Image Pair to a 3D Surface Model
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Building a digital model of Michelangelo's Florentine Pieta
IEEE Computer Graphics and Applications
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This study aims at building photorealistic 3D models of real-world objects. We discuss the problem of combining a 3D textureless model obtained by 3D scanner, with optical images that provide textural information of the object. Recently, we have proposed a novel method to register an uncalibrated image pair to a 3D surface model. After registration, the images are mapped to the surface. However, as the images show different parts of the objects, partial overlapping textures can only be extracted from them. Combining the images into a complete texture map that covers the entire object is not trivial. We present a method to build photorealistic 3D models that includes algorithms for data registration and for merging multiple texture maps using surface flattening. Experimental results on real and synthetic data are shown.