منابع مشابه
Sparse Shape Reconstruction
This paper introduces a new shape-based image reconstruction technique applicable to a large class of imaging problems formulated in a variational sense. Given a collection of shape priors (a shape dictionary), we define our problem as choosing the right elements and geometrically composing them through basic set operations to characterize desired regions in the image. This combinatorial proble...
متن کاملShape-aware surface reconstruction from sparse 3D point-clouds
The reconstruction of an object's shape or surface from a set of 3D points plays an important role in medical image analysis, e.g. in anatomy reconstruction from tomographic measurements or in the process of aligning intra-operative navigation and preoperative planning data. In such scenarios, one usually has to deal with sparse data, which significantly aggravates the problem of reconstruction...
متن کاملSingle and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the priorknowledge of a specific class of objects. Instead of heuristically proposing specific regularities and defining parametricmodels as previous research, our shape prior is learned directly from existing 3D models under a framework based onthe Gaussian Process Latent Variable ...
متن کاملSparse Reconstruction Problem
Recall the planted sparse vector problem introduced in the last lecture. In the problem, we are given a subspace S = span(v0,v1, . . .vd) ⊂ Rn where v0 is a vector with at most k non-zero entries, and v1 . . .vd are random vectors (i.e. their elements are independently drawn from N(0, 1)). Our goal is to find a k-sparse vector, i.e. one with at most k non-zero entries ideally, we would like to ...
متن کاملLOFAR sparse image reconstruction
Context. The LOFAR (LOw Frequency ARray) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various deconvolution and minimization methods. Aims. Rec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SIAM Journal on Imaging Sciences
سال: 2013
ISSN: 1936-4954
DOI: 10.1137/130911573