Finally, with CLF constrain, vein vector fields VVF) are built for finger-vein network feature description.
This paper reviews and evaluates several state-of-the-art feature description algorithms.
This research enables multimodal biometrics recognition system to have a concentrated fusion feature description and great recognition performance.
The components of each feature description method are analyzed and their applications in dealing with specific challenges are identified.
In order to capture both the local and global geometry of a 3D shape, we present a three-step feature description strategy.
Accurate motion capture and flexible retargeting of fish is difficult, in particular with the challenges of underwater marker attachment and feature description for soft bodies.
In current study, we proposed a novel peptide feature description method which combined peptide amino acid properties with chemical molecular features.
The quantitative comparative results demonstrate these algorithms' applications in different scenes, which provide a certain guide for designing novel feature description algorithms.
We propose a two-layer feature description structure that exploits the representation of spatio-temporal motion features and context features hierarchically.
However, when there exist other moving objects, those methods often fail to distinguish flying birds from those objects due to the insufficiency of feature description.
In the paper, we compare state-of-the-art feature description methods including the SIFT, DAISY, HRI-CSLTP, LIOP, MROGH and MRRID with specific measurement regulation.
