The Jensen–Shannon divergence is a renowned bounded symmetrization of the
unbounded Kullback–Leibler divergence which measures the total Kullback–Leibler …

Image registration is an important technique in many computer vision applications such as
image fusion, image retrieval, object tracking, face recognition, change detection and so on …

This paper presents a geometrical approach to the Fisher distance, which is a measure of
dissimilarity between two probability distribution functions. The Fisher distance, as well as …

Information theory has proved to be effective for solving many computer vision and pattern
recognition (CVPR) problems (such as image matching, clustering and segmentation …

In this paper, we propose an efficient algorithm, ie, PBEDT, for short, to compute the exact
Euclidean distance transform (EDT) of a binary image in arbitrary dimensions. The PBEDT is …

In the clustering of shapes, which is a longstanding challenge in the framework of geometric
morphometrics and shape analysis, is crucial the selection and application of a suitable and …

One of the major concerns of scoliosis patients undergoing surgical treatment is the
aesthetic aspect of the surgery outcome. It would be useful to predict the postoperative …

When a parameterized probability density function is used to represent a landmark-based
shape, the shape can be viewed as a point on the manifold that equips with a Riemannian …

Modern shape analysis allows the fine comparison of shape changes occurring between
different objects. Very often the classic machineries of generalized Procrustes analysis and …

Bone Response to Dental Implant Materials examines the oral environment and the
challenges associated with dental biomaterials. Understanding different in vivo and in vitro …