10 citations · 16 across the 10 of their papers we have counts for
8 papers · 1 filter
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network
Hanlin Mo, Guoying Zhao
In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image…
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition
Qi Li, Hanlin Mo, Jinghan Zhao +2
The dynamics of human skeletons have significant information for the task of action recognition. The similarity between trajectories of corresponding joints is an indicating featur…
Dual affine moment invariants
You Hao, Hanlin Mo, Qi Li +2
Affine transformation is one of the most common transformations in nature, which is an important issue in the field of computer vision and shape analysis. And affine transformation…
Rotation Differential Invariants of Images Generated by Two Fundamental Differential Operators
Hanlin Mo, Hua Li
In this paper, we design two fundamental differential operators for the derivation of rotation differential invariants of images. Each differential invariant obtained by using the…
Image Projective Invariants
Erbo Li, Hanlin Mo, Dong Xu +1
In this paper, we propose relative projective differential invariants (RPDIs) which are invariant to general projective transformations. By using RPDIs and the structural frame of…
A Kind of Affine Weighted Moment Invariants
Hanlin Mo, You Hao, Shirui Li +1
A new kind of geometric invariants is proposed in this paper, which is called affine weighted moment invariant (AWMI). By combination of local affine differential invariants and a…