Sciweavers

Share
AGI
2011
8 years 5 months ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
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...
Ben Goertzel
TVCG
2010
151views more  TVCG 2010»
8 years 12 months ago
Uncertainty-Aware Guided Volume Segmentation
—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...
Jörg-Stefan Praßni, Timo Ropinski, Klau...
CGF
2002
162views more  CGF 2002»
9 years 1 months ago
Geometric Snakes for Triangular Meshes
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 ...
Yunjin Lee, Seungyong Lee
CGA
2005
9 years 1 months ago
Hardware-Assisted Feature Analysis and Visualization of Procedurally Encoded Multifield Volumetric Data
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 ...
Manfred Weiler, Ralf P. Botchen, Simon Stegmaier, ...
IVC
2007
266views more  IVC 2007»
9 years 1 months ago
Face detection and facial feature localization without considering the appearance of image context
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...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
BMCBI
2008
110views more  BMCBI 2008»
9 years 1 months ago
Highly sensitive feature detection for high resolution LC/MS
Background: Liquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres...
Ralf Tautenhahn, Christoph Böttcher, Steffen ...
ECCV
2010
Springer
9 years 2 months ago
Self-Adapting Feature Layers
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
140views Education» more  LREC 2008»
9 years 3 months ago
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
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...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...
ACCV
2009
Springer
9 years 5 months ago
A Harris-Like Scale Invariant Feature Detector
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...
Yinan Yu, Kaiqi Huang, Tieniu Tan
WACV
2005
IEEE
9 years 7 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
books