Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Diffuse-Specular Separation and Depth Recovery from Image Sequences
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Shape-from-Silhouette/Stereo and Its Application to 3-D Digitizer
DCGI '99 Proceedings of the 8th International Conference on Discrete Geometry for Computer Imagery
Highlight Removal by Illumination-Constrained Inpainting
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Separating Reflection Components of Textured Surfaces Using a Single Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting layers and analyzing their specular properties using epipolar-plane-image analysis
Computer Vision and Image Understanding
Separation of Highlight Reflections on Textured Surfaces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Recent Developments in 3D Multi-modal Laser Imaging Applied to Cultural Heritage
Machine Vision and Applications
Shape and View Independent Reflectance Map from Multiple Views
International Journal of Computer Vision
Specularity removal in images and videos: a PDE approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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Image-based 3D model reconstruction method can use the same multi-view image sequence of the object for the generation of both the geometry model and texture map. Texture is very critical for virtual exhibition of 3D model and should be of high quality comparable to the geometry data. One problem is that the object surface may exhibit specular reflection of illuminated light. The texture extracted directly from the images can be unnatural. We propose a method for the removal of specular reflection component in each image. Each camera view is calibrated and a 3D mesh model of the object is generated. For each triangle patch, the projected colors on all visible views are found. The specular chromaticity is replaced by the corresponding diffuse chromaticity. We test the method on image sequences of synthetic and real objects. The diffuse image sequence can be used to generate the texture map.