ECCV
2008
Springer
16 years 3 months ago
2008
Springer
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
111
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ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
118
click to vote
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...
114
click to vote
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Shape optimization is a problem which arises in numerous computer vision problems such as image segmentation and multiview reconstruction. In this paper, we focus on a certain clas...
110
click to vote
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
This paper proposes a metric learning based approach for human activity recognition with two main objectives: (1) reject unfamiliar activities and (2) learn with few examples. We s...
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
This paper introduces a novel method for recovering both the light directions and camera poses from a single sphere. Traditional methods for estimating light directions using spher...
113
click to vote
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
103
click to vote
ECCV
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...