The majority of the senior population lives alone at home. Falls can cause serious injuries,
such as fractures or head injuries. These injuries can be an obstacle for a person to move …

Highlights•The first reported research on cultivar recognition using joint leaf image
patterns.•A novel multiscale sliding chord matching (MSCM) approach is proposed.•It can …

In this article, the micro-Doppler feature analysis and extraction of small unmanned rotorcraft
(SUR) is considered. To be specific, the radar returns from the rotor blades are first modeled …

Effectively describing and recognizing leaf shapes under arbitrary deformations, particularly
from a large database, remains an unsolved problem. In this research, we attempted a new …

In this paper, we present a novel double graph regularized double dictionary learning
(DGRDDL) method for image classification. The proposed method jointly constructs a …

Fourier descriptors are classical global shape descriptors with high matching speed but low
accuracy. To obtain higher accuracy, a novel framework for forming Fourier descriptors is …

We present a novel multi-level contour combination feature for shape recognition. This
combination feature effectively solves large intra-class changes and nonlinear deformations …

In this paper, a multiscale contour steered region integral (MCSRI) method is proposed to
classify highly similar shapes with flexible interior connection architectures. A component …

Abstract 3D shape recognition with few examples is crucial for applications involving 3D
scenes, but typical methods based on surface and view suffer the failure to describe the …

In a large number of applications, different types of descriptors have been implemented to
identify and recognize textured objects in grayscale images. Their classification must be …