6 citations · 15 across the 7 of their papers we have counts for
9 papers · 1 filter
Harmonic Beltrami Signature Network: a Shape Prior Module in Deep Learning Framework
Chenran Lin, Lok Ming Lui
This paper presents the Harmonic Beltrami Signature Network (HBSN), a novel deep learning architecture for computing the Harmonic Beltrami Signature (HBS) from binary-like images.…
A Registration-Based Star-Shape Segmentation Model and Fast Algorithms
Daoping Zhang, Xue-Cheng Tai, Lok Ming Lui
Image segmentation plays a crucial role in extracting objects of interest and identifying their boundaries within an image. However, accurate segmentation becomes challenging when…
Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Simply Connected Open Surfaces
Han Zhang, Tsz Lok Ip, Lok Ming Lui
Deep learning on non-Euclidean domains is important for analyzing complex geometric data that lacks common coordinate systems and familiar Euclidean properties. A central challenge…
Decomposition of Longitudinal Deformations via Beltrami Descriptors
Ho Law, Lok Ming Lui, Chun Yin Siu
We present a mathematical model to decompose a longitudinal deformation into normal and abnormal components. The goal is to detect and extract subtle quivers from periodic motions…
Quasi-conformal Geometry based Local Deformation Analysis of Lateral Cephalogram for Childhood OSA Classification
Hei-Long Chan, Hoi-Man Yuen, Chun-Ting Au +3
Craniofacial profile is one of the anatomical causes of obstructive sleep apnea(OSA). By medical research, cephalometry provides information on patients' skeletal structures and so…
Tooth morphometry using quasi-conformal theory
Gary P. T. Choi, Hei Long Chan, Robin Yong +5
Shape analysis is important in anthropology, bioarchaeology and forensic science for interpreting useful information from human remains. In particular, teeth are morphologically st…