We cast the problem of inferring the 3D shape of a scene from a collection of defocused images in the framework of anisotropic diffusion. We propose an algorithm that can estimate the shape of a scene by inferring the diffusion coefficient of a heat equation. The method is optimal, as we pose it as the minimization of a certain cost functional based on the input images, and fast. Furthermore, we also extend our algorithm to the case of multiple images, and derive a 3D scene segmentation algorithm that can work in the presence of pictorial camouflage.
3D shape from anisotropic diffusion
2003-01-01
3694231 byte
Conference paper
Electronic Resource
English
3D Shape from Anisotropic Diffusion
British Library Conference Proceedings | 2003
|Monotonically edge-sharpening anisotropic diffusion
British Library Online Contents | 2012
|Deconvolutional Speckle Reducing Anisotropic Diffusion
British Library Conference Proceedings | 2005
|Image Compression with Anisotropic Diffusion
British Library Online Contents | 2008
|Smart Interpolation by Anisotropic Diffusion
British Library Conference Proceedings | 2003
|