On Three-Dimensional Surface Reconstruction Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Shape Reconstruction of a Nonrigid Transport Object Using Refraction and Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics (2nd ed.): C version
Computer graphics (2nd ed.): C version
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Environment matting and compositing
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Environment matting extensions: towards higher accuracy and real-time capture
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Acquisition and rendering of transparent and refractive objects
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Image-based environment matting
EGRW '02 Proceedings of the 13th Eurographics workshop on Rendering
Conveying the 3D Shape of Smoothly Curving Transparent Surfaces via Texture
IEEE Transactions on Visualization and Computer Graphics
On different facets of regularization theory
Neural Computation
Mesh based 3D shape deformation for image based rendering from uncalibrated multiple views
Proceedings of the 2005 international conference on Augmented tele-existence
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This paper addresses the problem of reconstructing non- overlapping transparent and opaque surfaces from multiple view images. The reconstruction is attained through progressive refinement of an initial 3D shape by minimizing the error between the images of the object and the initial 3D shape. The challenge is to simultaneously reconstruct both the transparent and opaque surfaces given only a limited number of images. Any refinement methods can theoretically be applied if analytic relation between pixel value in the training images and vertices position of the initial 3D shape is known. This paper investigates such analytic relations for reconstructing opaque and transparent surfaces. The analytic relation for opaque surface follows diffuse reflection model, whereas for transparent surface follows ray tracing model. However, both relations can be converged for reconstruction both surfaces into texture mapping model. To improve the reconstruction results several strategies including regularization, hierarchical learning, and simulated annealing are investigated.