ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, we show how to reconstruct both 3D shape and 2D texture of a class of surfaces from a single perspective image. We consider the so-called the generalized cylindrica...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Point trajectories have emerged as a powerful means to obtain high quality and fully unsupervised segmentation of objects in video shots. They can exploit the long term motion dif...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
3D parametric deformable models have been used to extract volumetric object boundaries and they generate smooth boundary surfaces as results. However, in some segmentation cases, ...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose Compact And Real-time Descriptors (CARD) which can be computed very rapidly and be expressed by short binary codes. An efficient algorithm based on lookup tables is pr...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transforms for...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Naive Bayes Nearest Neighbor (NBNN) has recently been proposed as a powerful, non-parametric approach for object classification, that manages to achieve remarkably good results t...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...