ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Many segmentation algorithms describe images in terms of a hierarchy of regions. Although such hierarchies can produce state of the art segmentations and have many applications, th...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette. We model two types of sh...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. We propose new ideas and efficient algorithms towards bridging the gap between bag-of-features and constellation descriptors for image matching. Specifically, we show ho...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. Computer vision algorithms for individual tasks such as object recognition, detection and segmentation have shown impressive results in the recent past. The next challeng...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
This paper presents algorithms for efficiently computing the covariance matrix for features that form sub-windows in a large multidimensional image. For example, several image proc...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
This paper presents a non-local kernel regression (NL-KR) method for image and video restoration tasks, which exploits both the non-local self-similarity and local structural regul...
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...