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CVPR
2012
IEEE
6 years 11 months ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor
ICCV
2011
IEEE
7 years 8 months ago
Multiview 3D Warps
Image registration and 3D reconstruction are fundamental computer vision and medical imaging problems. They are particularly challenging when the input data are images of a deform...
Alessio Del Bue, Adrien Bartoli
ICCV
2011
IEEE
7 years 8 months ago
Refractive Shape from Light Field Distortion
Acquiring transparent, refractive objects is challenging as these kinds of objects can only be observed by analyzing the distortion of reference background patterns. We present a ...
Gordon Wetzstein, David Roodnick, Wolfgang Heidric...
CGF
2011
8 years 1 days ago
A Sparse Parametric Mixture Model for BTF Compression, Editing and Rendering
Bidirectional texture functions (BTFs) represent the appearance of complex materials. Three major shortcomings with BTFs are the bulky storage, the difficulty in editing and the ...
Hongzhi Wu, Julie Dorsey, Holly E. Rushmeier
COCO
2003
Springer
93views Algorithms» more  COCO 2003»
9 years 1 months ago
Are Cook and Karp Ever the Same?
We consider the question whether there exists a set A such that every set polynomial-time Turing equivalent to A is also many-one equivalent to A. We show that if E = NE then no s...
Richard Beigel, Lance Fortnow
COCO
2004
Springer
84views Algorithms» more  COCO 2004»
9 years 1 months ago
Properties of NP-Complete Sets
We study several properties of sets that are complete for NP. We prove that if L is an NP-complete set and S ⊇ L is a p-selective sparse set, then L − S is ≤p m-hard for NP....
Christian Glaßer, Aduri Pavan, Alan L. Selma...
ICIP
2009
IEEE
9 years 9 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
ICIP
2006
IEEE
9 years 10 months ago
Volumetric Representation for Sparse Multi-Views
In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a nonLambertian scene. The depth map of each reference view is regi...
Nantheera Anantrasirichai, Cedric Nishan Canagaraj...
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