998 search results - page 23 / 200 » Sparse Image Reconstruction using Sparse Priors |
118
Voted
ICIP
2007
IEEE
15 years 10 months ago
2007
IEEE
Practical sparse approximation algorithms (particularly greedy algorithms) suffer two significant drawbacks: they are difficult to implement in hardware, and they are inefficie...
136
Voted
ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
273
Voted
NIPS
2008
15 years 5 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
122
Voted
CVPR
2010
IEEE
15 years 12 months ago
2010
IEEE
Acquiring and representing the 4D space of rays in the world (the light field) is important for many computer vision and graphics applications. Yet, light field acquisition is c...
151
Voted
ICIP
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...