AGI
2011
13 years 3 months ago
2011
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
TVCG
2010
13 years 9 months ago
2010
—Although direct volume rendering is established as a powerful tool for the visualization of volumetric data, efficient and reliable feature detection is still an open topic. Us...
CGF
2002
13 years 11 months ago
2002
Feature detection is important in various mesh processing techniques, such as mesh editing, mesh morphing, mesh compression, and mesh signal processing. In spite of much research ...
CGA
2005
13 years 11 months ago
2005
Procedural encoding of scattered and unstructured scalar datasets using Radial Basis Functions (RBF) is an active area of research with great potential for compactly representing ...
IVC
2007
13 years 11 months ago
2007
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
BMCBI
2008
13 years 11 months ago
2008
Background: Liquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres...
ECCV
2010
Springer
14 years 19 days ago
2010
Springer
Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...
LREC
2008
14 years 28 days ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
ACCV
2009
Springer
14 years 2 months ago
2009
Springer
Image feature detection is a fundamental issue in computer vision. SIFT[1] and SURF[2] are very effective in scale-space feature detection, but their stabilities are not good enou...
WACV
2005
IEEE
14 years 5 months ago
2005
IEEE
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...