This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases,
to generate a set of features which are invariant to rotation. We call these transforms Polar …

Most existing person re-identification (Re-ID) approaches follow a supervised learning
framework, in which a large number of labelled matching pairs are required for training. Such a …

The recent advances of hardware technology have made the intelligent analysis equipped
at the front-end with deep learning more prevailing and practical. To better enable the …

This paper provides an overview of the on-going compact descriptors for video analysis
standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets …

As a spotlighted nonlocal image representation model, group sparse representation (GSR)
has demonstrated a great potential in diverse image restoration tasks. Most of the existing …

A robust fingerprint recognition algorithm should tolerate the rotation and translation of the
fingerprint image. One popular solution is to consistently detect a unique reference point and …

Recent works on structural sparse representation (SSR), which exploit image nonlocal self-similarity
(NSS) prior by grouping similar patches for processing, have demonstrated …

The widespread of SARS-CoV-2 presents a significant threat to human society, as well as
public health and economic development. Extensive efforts have been undertaken to battle …

Food-related applications and services are essential for the health and well-being of people.
With the rapid development of social networks and mobile devices, food images captured …

Fingerprint identification has been a great challenge due to its complex search of database.
This paper proposes an efficient fingerprint search algorithm based on database clustering, …