7 search results - page 1 / 2 » Local Gaussian Processes for Pose Recognition from Noisy Inp... |
BMVC
2010
13 years 2 months ago
2010
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
ICCV
1999
IEEE
13 years 8 months ago
1999
IEEE
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
NIPS
1992
13 years 5 months ago
1992
In visual processing the ability to deal with missing and noisy information is crucial. Occlusions and unreliable feature detectors often lead to situations where little or no dir...
3DIM
2005
IEEE
13 years 10 months ago
2005
IEEE
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
INTERSPEECH
2010
12 years 11 months ago
2010
We previously proposed a decoding method for automatic speech recognition utilizing hypothesis scores weighted by voice activity detection (VAD)-measures. This method uses two Gau...