CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Many computer vision approaches take for granted positive answers to questions such as “Are semantic categories visually separable?” and “Is visual similarity correlated to ...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We deal with an image jigsaw puzzle problem, which is defined as reconstructing an image from a set of square and non-overlapping image patches. It is known that a general instan...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Using optical triangulation methods to measure the shape of translucent objects is difficult because subsurface scattering contaminates measurements of the “direct” reflecti...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this w...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
A convenient way of dealing with image sets is to represent them as points on Grassmannian manifolds. While several recent studies explored the applicability of discriminant analy...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
2.5D building reconstruction aims at creating building models composed of complex roofs and vertical walls. In this paper, we define 2.5D building topology as a set of roof featu...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We present a distributed representation of pose and appearance of people called the “poselet activation vector”. First we show that this representation can be used to estimate...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We use a simple modification to a conventional SLR camera to capture images of several hundred scenes in colour (RGB) and near-infrared (NIR). We show that the addition of near-i...