Search Results for author:
Found 9 papers, 1 papers with code
IFViT: Interpretable Fixed-Length Representation for Fingerprint Matching via Vision Transformer
The first module, an interpretable dense registration module, establishes a Vision Transformer (ViT)-based Siamese Network to capture long-range dependencies and the global context in fingerprint pairs.
ERNet: Efficient and Reliable Human-Object Interaction Detection
Human-Object Interaction (HOI) detection recognizes how persons interact with objects, which is advantageous in autonomous systems such as self-driving vehicles and collaborative robots.
Ranked #7 on
Human-Object Interaction Detection
on HICO-DET
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)
It is comprised of more than 600 individuals acquired simultaneously in three scenarios: 1) over the Internet, 2) in an office environment with desktop PC, and 3) in indoor/outdoor environments with mobile portable hardware.
On the Risk of Cancelable Biometrics
Cancelable biometrics (CB) employs an irreversible transformation to convert the biometric features into transformed templates while preserving the relative distance between two templates for security and privacy protection.
Face Identification using Local Ternary Tree Pattern based Spatial Structural Components
Exploiting and extracting distinctive local descriptor from a face image plays a crucial role in face identification task in the presence of a variety of face images including constrained, unconstrained and plastic surgery images.
A Linear-complexity Multi-biometric Forensic Document Analysis System, by Fusing the Stylome and Signature Modalities
Identification of the document writer via a number of its modalities (e. g. handwriting, signature, linguistic writing style (i. e. stylome), etc.)
Maximized Posteriori Attributes Selection from Facial Salient Landmarks for Face Recognition
The face matching strategy is based on matching individual salient facial graph characterized by SIFT features as connected to facial landmarks such as the eyes and the mouth.
Face Identification by SIFT-based Complete Graph Topology
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images.
Face Recognition by Fusion of Local and Global Matching Scores using DS Theory: An Evaluation with Uni-classifier and Multi-classifier Paradigm
As for the global matching strategy, all SIFT features are combined together to form a single feature.
